#LLM

Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

🍒 Cherry Studio is a desktop client that supports for multiple LLM providers.

HyperChat is a Chat client that strives for openness, utilizing APIs from various LLMs to achieve the best Chat experience, as well as implementing productivity tools through the MCP protocol.

⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

5ire is a cross-platform desktop AI assistant, MCP client. It compatible with major service providers, supports local knowledge base and tools via model context protocol servers .

The Milvus MCP server enables AI applications to interact with Milvus vector databases using natural language commands. It allows AI models to perform vector searches, manage collections, and retrieve data without writing custom database queries. This integration facilitates seamless access to vector data, enhancing the capabilities of AI tools like Claude Desktop and Cursor.

Web content fetching and conversion for efficient LLM usage

An MCP execution platform that gives any AI real infrastructure to act. Through three tools it can run code and shell commands, install packages, run tasks in parallel, search the web, make HTTP calls, read write and query databases, call any LLM, commit to GitHub, take screenshots, handle files, and keep persistent memory across sessions, all with safety checks before results reach the model. AI never ships broken code, never burns your wallet, and cannot reach your internal network. Up to 96.5 percent fewer tokens than doing the work in chat. Works with Claude, ChatGPT, Gemini, and any MCP-compatible AI.

Query realistic LLM cost models without leaving your editor. beforeyouship models the **true monthly cost** of an LLM app architecture — retries, prompt caching, batch discounts, infra overhead, and 3×/10× growth — across GPT-5.x, Claude, Gemini, DeepSeek, and more. Not a token calculator: a planning tool for the design phase, before you commit to a stack. **No API key needed to try it** — demo mode covers the six free-tier models. A Pro key from [beforeyouship.dev](https://beforeyouship.dev) unlocks the full 18-model catalog. ## What you can ask - "How much will a RAG chatbot cost at 10,000 requests/day?" - "Compare Claude Haiku vs Gemini Flash pricing for my workload" - "What's the cheapest model for a multi-step agent at scale?" - "Show me current per-token prices for Anthropic models" ## Tools ### `estimate_cost` Full cost model for an architecture at a given usage level. Returns Naive / Realistic / Worst Case monthly cost per model, 3×/10× growth scenarios, and an opinionated recommendation with reasoning. ### `get_model_prices` Current per-1M-token pricing — input, output, cached input, batch — with context windows and staleness metadata. ### `list_archetypes` Seven preset architecture patterns (simple chatbot, chatbot with history, RAG pipeline, multi-model router, coding assistant, document processor, multi-step agent) used as starting points for estimates. ## Setup **Claude Code:** ​```bash claude mcp add --transport http beforeyouship https://beforeyouship.dev/api/mcp ​``` **Cursor / other clients** — add a remote server: ​```json { "mcpServers": { "beforeyouship": { "type": "streamable-http", "url": "https://beforeyouship.dev/api/mcp" } } } ​``` Add an `Authorization: Bearer bys_...` header with a Pro key for the full catalog. ## Try it > Estimate the monthly cost of a RAG pipeline at 10,000 requests/day

Documentation and assembly review for @nhtio/adk.

Turn any URL plus a schema into validated, typed JSON via the Extracto API. No CSS selectors; missing fields return null instead of guesses.

SCOUTS-AI MCP server: drop-in web_search tool backed by the no-key SCOUTS-AI API (https://scouts-ai.com). For AI agents, RAG pipelines, answer engines, GEO workflows.

Reduce AI hallucination: Triall routes your question through multiple frontier AI models (Claude, GPT, Gemini, Grok + 120 more) that answer independently, anonymously peer-review each other, debate, fact-check claims against the live web, and survive a devil's advocate — returning one verified answer with full transparency into where the models disagreed. Free tier, no signup.

OpenSERP MCP Server gives AI agents multi-engine web search (Google, Yandex, Bind, Baidu, Duckduckgo, Ecosia), SERP results, image search, mega-search, and URL extraction for LLM grounding, RAG, SEO, and automation.

Tribal captures the engineering knowledge that does not get written down in code or tickets. The reasoning behind a load-bearing decision, the heuristic someone keeps reaching for, the breakthrough that closed a gnarly bug. It runs as an MCP server, ingests text on demand, and exposes a graph of items connected by what they support, contradict, or refine. Your agent harness talks to it the same way it talks to any other MCP-compatible tool.

Multi-perspective decision reasoning for Claude. When you face a real choice: career, money, relationships, strategy. Orlog examines competing angles and takes a clear position, not a hedge. Get an API key at orlog.fyi.

Static technical-debt analysis across 14 languages, exposed as MCP tools and resources

Turn any published podcast into clean Markdown with real speaker names — not "Speaker 1." Three tools: search_podcasts (by text query or a pasted Spotify/YouTube URL), get_transcript (named, timestamped Markdown ready for LLMs and RAG), and get_balance. It's a transcript-retrieval API, not speech-to-text: it works on already-published shows, so you skip uploading audio and diarization — typically 5–10× cheaper. Try it free with the demo key pt_demo (no signup).

MCP server that fuses 2–5 AI agents into one unified mind. Features 7 tools: esse_quick, esse_fuse, esse_execute, esse_list_agents, esse_list_sessions, esse_memory, esse_defuse. Supports Venice AI, OpenAI, and Anthropic. One AI. Many agents. Fused.

130+ QA & dev tools for AI agents. Prompt injection scanning, RAG pipeline testing, VLM test suites, semantic assertions, token counting, hallucination checks, and CI-ready LLM evaluation — all via JSON-RPC. Free, no API key, no signup.

Extract structured data from PDFs and documents with Suparse AI OCR.

LLM persona consistency engine — enforce JSON personality and style constraints across interactions. Prevents persona drift with 160,000 deductively-derived behavioral rules.

Unofficial Notion MCP server built on Notion's private API (token_v2 cookie). Full read/write access to your entire Notion workspace — no integration token and no per-page sharing.

Unified LLM API gateway with OpenAI-compatible protocol. Access Claude, GPT, Gemini, DeepSeek through a single endpoint. Pay-per-use at ~70% off official pricing. Supports Alipay/WeChat. Hong Kong/Singapore nodes.

MCP server for structured, read-only email access. Exposes a minimal, auditable API surface — AI agents can search and read emails, but cannot send, delete, or modify your mailbox.

Compare LLM inference costs and find cheap alternatives to OpenAI/Anthropic. Gonka Network offers an OpenAI-compatible API (drop-in replacement, zero code changes) at up to 6800x lower cost than GPT-4o. 比较LLM推理成本，寻找比OpenAI/Anthropic更便宜的替代方案。Gonka Network提供兼容OpenAI的API（无需修改代码），成本比GPT-4o最低降低6800倍。

Remote MCP Server (WebMCP) for industrial vacuum cleaner exploration and configuration. Helps to choose the right vacuuming solution for each specific dust extraction application. Query 150+ products across 24 industrial sectors with full ATEX certification data, technical specifications, and accessory compatibility. **Capabilities:** - Choose the right solution within 180+ models of industrial vacuum - Find vacuums for ATEX Zone 2/21/22 (explosive atmospheres) - Configure for combustible dust (aluminum, titanium, flour, wood) - Select for toxic/carcinogenic dust (Class H, Type H certified) - CNC oil and coolant extraction - Welding fume extraction - Central vacuum systems (CVS) - Compatible accessories by product **20 tools** covering product search, technical specs, filter options, ATEX zones, certifications, and accessories. No authentication required. Public access.

Read-only MCP server for searching, comparing, and recommending 18,000+ UK gyms using LocalGym data.

Job platform for AI agents. Connect Claude, Cursor, or any MCP client. Search tech companies by their real stack, star the ones you'd actually work for, save jobs to your shortlist. Through conversation, populate your profile from a CV, manage applications, and let your agent surface roles that fit your skills. Tech-stack data comes from real job postings, not declared tags.

Runtime security oracle for AI agents — scan prompts, tool calls, and outputs before execution. Pay-per-call via x402/USDC, no accounts needed.

Simulate and evaluate voice & text agents from your editor. Generate synthetic-user "Drivers" from your codebase, run multi-turn simulations against your agents, and pull back transcripts, traces, and scores without leaving your AI assistant.

MCP server for Tessera's LLM cost-optimization layer. Anchored spend, drift detection, recommendations as typed tools.

AI agents excel at executing tasks, but lose context the moment a session ends. Re-explaining project state wastes time, breaks momentum, and burns tokens. **CWIM Kanban bridges the gap.** It injects a persistent memory layer into **Claude Code** and **OpenCode** using the Model Context Protocol (MCP). * 🧠 **Persistent Working Memory:** Your agent automatically tracks its own progress, leaves discovery notes, and recalls context across terminal restarts. * 📋 **Real-Time Visual Dashboard:** Watch your AI agent move cards from `In-Progress` to `Done` on a local Kanban board as it runs commands. * 📂 **Git-Driven Session Isolation:** Auto-detects your repository. When you `cd` into a project, your AI's memory switches context instantly.

An MCP server focused on intelligent meeting transcription, action item extraction, meeting summary generation, and collaborative office automation workflows.

Hosted MCP server for Conductor Relay, an agent-to-agent exchange where AI agents register with cr_agent_ bearer keys, start with zero managed DB-CPTM, discover verifier-backed work, claim jobs, submit results, and earn initial managed DB-CPTM by completing supported tasks. Public tools expose exchange status, network stats, CPTM pricing, agent registration, job discovery, claim/submit workflows, balance lookup, and optional sandbox support. CPTM is closed-economy v0 with no external withdrawal. closed-economy v0 with no external withdrawal.

Save 30-75% on Manus AI credits with zero quality loss. Intelligent model routing (Standard/Max), smart testing, context hygiene, and section-by-section optimization. Audited across 22 scenarios with 12 vulnerability fixes.

MEMANTO is a memory agent. It remembers, recalls, and answers - so your agents can achieve long-term goals and avoid confusion.

Curated by Archimedes Market with a verified Trust Report. Expose any LangChain chain, agent, or tool as an MCP server. Schema-aware tool registration, tool-call tracing, retry/timeout policies, structured output validation. Bridges the LangChain ecosystem into Claude / ChatGPT / Cursor without rewrites. → archimedes.market/assets/312e3c99-f858-44e7-ba2c-fcaf408825a8.

DeepSeek API for AI agents. Cost-effective LLM inference via MCP protocol. Built by an agent, for agents.

Governance firewall for autonomous AI agents. Intercept every agent action in real time, enforce configurable rules, and block violations before they execute.

Prompt injection and PII detection MCP server for AI agents. Deterministic, sub-25ms. Returns CLEARED/ANONYMIZED/BLOCKED verdict with matched signatures, PII entities, and GDPR Art.30 audit report. 2,000 free requests/month.

Stop re-explaining yourself to agents. Give it the right context right when it is needed. LLMs are stateless — each conversation starts from scratch. ContextBook gives your AI tools a persistent, searchable knowledge library to draw the right context when they need it. No bloatware, no pre-loaded junk. Just the right information, at the right time.

On-demand live vision for AI agents. Open a session at a lat/lng, receive a JPEG snapshot or WebRTC stream, settle per-second in USDC on Base. The agent-first way to give an LLM eyes on the physical world. Four tools today: get_session, get_frame, get_stream_url, cancel_session. Drop the MCP server into Claude Desktop, Cursor, or Claude Code with one npx command + a Luxxon API key from console.luxxon.dev. Currently on Base Sepolia testnet. Docs: https://docs.luxxon.dev.

MCP server that audits AI-bot visibility. Reports per-bot robots.txt verdicts for 22 AI user-agents (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.), Cloudflare AI-default flags, on-page schema, sitemap, llms.txt, SPA-shell detection, and cross-model brand mentions via Perplexity + OpenRouter. Produces a 0-100 score with explainable deductions. SSRF-guarded (blocks loopback / link-local / cloud IMDS), cost-capped (per-call + daily). MIT, 24 tests, runs on stdio or HTTP.

AI agent readability scanner — score any public URL against the Vercel Agent Readability Spec, llmstxt.org, and 6 agent-protocol manifests (MCP, A2A, agents.json, agent-permissions, UCP, x402). 59 checks with per-check fix guidance. Same engine as agent-ready.dev.

AI-native property MCP server for Northern Cyprus (KKTC). Nine read-only tools — search active listings, get the live price index, compare cities, estimate rental yield, look up KKTC legal procedures, profile districts — pulled live from evlek.app, where every listing is KYC-verified. Compatible with Claude Desktop, ChatGPT Apps, Perplexity, Cursor, and any MCP client. Multilingual (TR, EN, RU, DE, AR), 6 cities, GBP-primary pricing. First proptech in the region built MCP-first — making KKTC property data discoverable through AI assistants instead of fragmented websites. Endpoint: https://evlek.app/api/mcp Docs: https://evlek.app/mcp Glama: https://glama.ai/mcp/connectors/app.evlek/mcp-server (Healthy, A grade) Smithery: https://smithery.ai/servers/onurd8898/evlek

Verify AI agent tool calls with content-addressed, HMAC-attested receipts. Free third-party verification API for AI agents. Call verify_action(claim, evidence) to get an independent integrity check on whether your claimed action matches the actual evidence. Useful for catching silent failures: incorrect SQL operations, file-op mismatches, API call inconsistencies, and code-diff scope creep. Five specialized verifier kinds: - code_diff: verb / path / identifier coherence with unified diff - db_op: row delta + SQL operation + ID match - file_op: existence state + line/size delta - api_call: request body and response status coherence - generic: conservative fallback Returns: - aar_verdict: verified | contradicted | insufficient_evidence | unsafe_to_verify - verdict: ok | mismatch | uncertain (legacy 3-value alias) - reasoning, confidence - receipt: verify_action_receipt.v0 with HMAC-SHA256 signature, content-addressed via SHA-256 hashes of claim and evidence Cross-vendor: works with Claude Code, Cursor, Cline, Codex, Codeium, and any MCP-compatible harness. Stateless, per-request, no API key, no registration. Pure Python stdlib (no pip install). Anonymized telemetry only — no PII, no model fingerprint, no raw claim/evidence retention. Honest scope: this is a small reference implementation, not a canonical inter-vendor standard. v0 receipts use HMAC-SHA256 (symmetric, single-issuer); v1 with ed25519 + multi-issuer is on the roadmap. The hosted endpoint has no SLA — self-host for stability (git clone && ./start.sh). 90-day probe with explicit kill criteria. If adoption appears, v1 schema work begins. If response is null, the null is itself a publishable data point.

Lucairn is an EU-based privacy gateway that sits between your MCP-enabled agent and the upstream LLM (Claude, GPT-4o, o1/o3/o4). What it does: - Automatically detects and replaces PII — names, emails, IBANs, addresses, phone numbers, customer IDs — with placeholders before reaching the upstream LLM. The model never sees the raw values. - Each response carries a signed compliance certificate (ed25519 + RFC 3161 timestamp + Sigstore Rekor inclusion proof) that proves what was redacted, when, and by which sanitizer layer. - Cross-provider BYOK: bring your own ANTHROPIC_API_KEY and/or OPENAI_API_KEY. Routing is automatic by model prefix (claude-* → Anthropic, gpt-* / o1-* → OpenAI). - Free Developer tier with 1,000 requests/month. Pro and Enterprise tiers unlock higher quotas and re-linkage of placeholders to original values in the response. Exposes one MCP tool, `chat_via_lucairn`, using the Anthropic Messages API wire format. Compatible with any MCP client (Claude Desktop, Cline, Continue, Cursor, etc.). Source: https://github.com/Declade/lucairn-sdks Glama listing: https://glama.ai/mcp/servers/Declade/lucairn-sdks Docs: https://lucairn.eu

Preflight spend control for AI agents. Block runaway agent loops before they start - not after the bill arrives. Per-request cost ceilings, budget checks, and outcome-based metering in 2 MCP tool calls.

TensorFeed is an MCP server for real-time AI ecosystem data. Free tools cover AI news, service status, model pricing, today's summary, agent activity, and the daily MCP server registry snapshot. Premium tools (paid per call in USDC on Base, x402-compatible) cover ranked model routing, news search, history series, cost projection, provider deep-dives, model comparison, and digest watches. AFTA-certified: code-enforced no-charge on 5xx, breaker, schema fail, or stale data, with Ed25519-signed receipts on every paid call.

Open registry of skills, tools, datasets, prompts, and playbooks for local LLMs. Search 155+ resources, get AI-powered recommendations, and install capabilities on demand for Ollama, LM Studio, and llama.cpp. Free, open, community-built.

MCP server that exposes agent-memory-daemon to any MCP-compatible client — Kiro (CLI & IDE), Claude Desktop, Cursor, and others. The daemon does the thinking (consolidation + extraction); this server is a thin filesystem bridge so agents can read, append, and search memory through the Model Context Protocol.

PQS is the fastest way to get better output from any AI model. Score any prompt before it hits the model. Get a grade (A-F), score out of 80, percentile, and 8-dimension breakdown across clarity, specificity, context, constraints, output format, role definition, examples, and chain-of-thought structure. Built on PEEM, RAGAS, MT-Bench, G-Eval, and ROUGE frameworks. Pre-flight, not post-hoc. The AI input quality problem is real. PQS solves it. MCP Tools: - score_prompt: Free. Returns grade (A-F), score out of 80, percentile, and full 8-dimension breakdown. No API key needed. - optimize_prompt: $0.025 USDC via x402. Returns a rewritten, higher-scoring version of your prompt with before/after dimension deltas. Requires API key from promptqualityscore.com. HTTP API (x402-native on Base): - /api/score/free: Free. Grade, percentile, and 8-dimension breakdown. No payment required. - /api/score: $0.025 USDC. Single score, pay-per-call. - /api/score/full: $0.125 USDC. Grade, percentile, dimension breakdown, and rewrite. - /api/score/batch: $0.25 USDC. Score multiple prompts in a single call. - /api/preflight: $0.05 USDC. Lightweight pre-flight quality check. Paste a prompt. Get an optimized version. Ship better work. Cheaper than one bad prompt. https://promptqualityscore.com

Audit-grade memory backbone for agent teams. Bi-temporal facts (event time + transaction time, with recall(as_of=...) replay), 6-step deterministic retrieval (no LLM in the critical path), conversation ingest with speaker-locked dual-pass extraction, per-tenant Postgres row-level security, and Ed25519-signed provenance. Postgres + pgvector + Neo4j defaults; ArangoDB / DynamoDB / Cosmos / AlloyDB also supported. Listed on the official MCP Registry as io.github.bolnet/attestor.

LeafEngines is an agricultural intelligence MCP server that provides comprehensive tools for soil analysis, crop recommendations, weather forecasts, and environmental impact assessment. It integrates USDA data with local sources for international coverage. The server supports free tier access with test key `leaf-test-370df0a2e62e` for immediate use, plus paid tiers for commercial applications. Version 2.0.2 includes telemetry integration for anonymous usage tracking.

Filesystem-first MCP server for Obsidian vaults with an LLM-Wiki layer on top.

Your Data. Your AI. Your Rules. Ontheia is a self-hosted, open-source AI agent platform. Run AI agents, automate workflows, and connect AI models to any tool — entirely on your own infrastructure, without sending data to external cloud services.

Check whether a task can run on a local model instead of cloud before every inference call. Saves money on every call that does not need cloud.

Compile semantic document edits into correct Google Docs batchUpdate requests. UTF-16 arithmetic, cascading index shifts, OT-compatible ordering. MIT licensed.

Give AI agents structured database intelligence. Deterministic SQL, NULL trap detection, EXPLAIN pre-flight. MIT licensed.

Connect any MCP-compatible AI to Royal Mail and Parcelforce shipping. This server exposes five tools that let Claude, Cursor or any MCP client book orders, fetch postage labels, track shipments and cancel bookings through the official Click & Drop API. Covers 33 UK and international services, including 1st and 2nd Class, Tracked 24 and 48, Special Delivery, Parcelforce express and international tracked. Accepts both friendly service keys (for example tracked-24 or parcelforce-48) and raw Service Register codes (TOLP24, PFE48) directly. Typical workflows: daily order fulfilment from ecommerce platforms, customer service triage for tracking queries, returns handling, multi-carrier price comparison when paired with apc-mcp, bulk fulfilment days, and shipping quotes at checkout. Booking, tracking and cancellation verified end-to-end against the live Click & Drop API. Label retrieval requires a Royal Mail OBA account.

Model intelligence for AI agents — syntax, parameters, pricing, and routing for 67+ generative AI models (Midjourney, Flux, Suno, Runway, DALL-E, Stable Diffusion). 7 tools that let any MCP client recommend, compare, optimize, and price AI model calls.

Strata is a self hosted AI memory server. Your AI remembers everything across every session, on your own hardware. Key features: . Semantic search (find memories by meaning, not keywords) . Per-agent API keys with granular permissions . 3D constellation viewer with live agent activity . File vault (attach real documents to memories) . CSV audit log (full transparency on every agent action) . Pre-Strata history import (your memory doesn't start at install day) . Global MCP kill switch (emergency brake, only a human can undo) . Automatic deduplication . 10 structured thought types . Backend using PostgreSQL . Runs on a Raspberry Pi Always on, always local, always yours.

Yamaru Hardware Probe gives Claude Desktop and other MCP clients real visibility into your machine. 10 expert tools: full hardware inventory, real-time performance & thermal monitoring, RAM pressure analysis, SMART storage health, antivirus impact diagnostics, and LLM compatibility checks (VRAM fit, quantization prediction). Perfect for AI engineers, developers,vibe coder, gamers, and creators who want grounded answers instead of "it depends on your config". Apache 2.0, privacy-first (auto-anonymization), npm-installable.

Japanese LLM security APIs — prompt injection detection (jpi-guard) + PII masking (PII Guard). Free to start, no credit card required.

External QA layer for OpenClaw memory — diagnose, guard, and remediate your agent's memory. OpenClaw only adds to memory, never removes. Over time this causes silent degradation: stale long-term memories pointing to deleted files, false-positive short-term entries getting promoted, and SOUL.md drifting with task instructions that don't belong in an identity file. openclaw-memhealth intercepts the memory pipeline at every stage: • memory_health_check_oc() — quick scan: zombie count, false-positive rate, retrieval health score • memory_longterm_audit_oc() — deep audit of MEMORY.md: source validity, duplicate detection • memory_promotion_audit_oc() — pre-promotion quality gate: 5 checks before entries enter MEMORY.md • memory_soul_check_oc() — audit SOUL.md for boundary violations and identity drift • memory_config_doctor_oc() — infer minScore/embedding issues from behavior data • memory_dashboard_oc() — visual health dashboard with bilingual support (zh/en) LLM API key optional. All read-only tools are zero-risk.

petro-mcp — Petroleum Engineering MCP Server petro-mcp exposes petroleum engineering workflows to Claude and other MCP-compatible LLMs through natural language. Instead of writing Python scripts, just ask your AI assistant. Capabilities (80+ tools across the full upstream workflow): - Well Logs (LAS): Parse LAS files, extract curves and headers, compute Vshale, porosity (density, neutron-density, sonic, effective), water saturation (Archie, Simandoux, Indonesian), permeability (Timur, Coates), and net pay. - Decline Curve Analysis: Arps exponential/hyperbolic/harmonic fits, advanced models (Duong, PLE, SEPD), EUR calculation, Monte Carlo EUR distributions, bootstrap confidence intervals, probabilistic forecasts, price sensitivities. - Rate Transient Analysis (RTA): Agarwal-Gardner, Blasingame, NPI, flowing material balance, normalized rate, sqrt-time, material balance time, permeability estimation, radius of investigation. - Production Analytics: CSV production data queries, trend analysis, anomaly detection (shut-ins, rate jumps, water breakthrough, GOR blowouts), producing ratios (GOR, WOR, water cut). - PVT & Reservoir: Black-oil correlations (Standing, Beggs-Robinson, Hall-Yarborough, Lee-Gonzalez-Eakin, Sutton), brine PVT, bubble point, oil compressibility, gas Z-factor, volumetric OOIP/OGIP, recovery factors, Havlena-Odeh, P/Z analysis. - Drilling & Wellbore: Hydrostatic pressure, ECD, kill mud weight, MAASP, burst/collapse pressure, bit pressure drop, nozzle TFA, annular velocity, dogleg severity, vertical section, well survey, anticollision, wellbore tortuosity. - Production Engineering: Nodal analysis (Vogel IPR + VLP), Beggs-Brill multiphase flow, choke flow, erosional velocity, Turner/Coleman critical rates, hydrate temperature/inhibitor, ICP/FCP, HPT. - Economics: NPV, IRR, payout period, PV10, breakeven price, well economics, operating netback, price sensitivity. - Units: Oilfield unit conversions across pressure, rate, volume, length, density, viscosity, and more. Why petro-mcp? Purpose-built for petroleum engineers. Other energy MCP servers focus on commodity prices; this one runs the actual engineering calculations — log interpretation, decline analysis, reservoir engineering, drilling, production, and economics — all through plain English. Install: pip install petro-mcp → configure in Claude Desktop → ask away. Links: GitHub: https://github.com/petropt/petro-mcp · PyPI: https://pypi.org/project/petro-mcp/ · Web tools: https://tools.petropt.com License: MIT · Author: Groundwork Analytics

MCP server that exposes the full FAOSTAT API as tools for AI assistants — query UNFAO Food & Agriculture Statistics in natural language via Claude, Cursor, or any MCP-compatible client.

Web scraping, crawling, and data extraction for AI agents. 5 built-in tools: scrape (clean markdown from any URL), crawl (follow links across entire sites), map (discover all URLs on a domain), extract (structured JSON via schema), and search (web search with optional page scraping). 833ms average latency, single binary, 6 MB RAM. Self-host free or use managed cloud at fastcrw.com with 500 free credits. Firecrawl-compatible API. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP-compatible client.

Scan any website for AI agent readiness — payment protocols (x402, MPP, SPT, L402), MCP servers, OpenAPI specs, llms.txt, plugins, and more. Returns scored reports with 80+ checks.

Persistent memory for AI agents, important things stick, forgotten things fade, outdated facts get pruned automatically using the Ebbinghaus forgetting curve.

Conkurrence measures whether multiple AI models produce consistent outputs on your evaluation tasks. It tells you which items your AI agrees on and which need human review — using Fleiss' κ, Kendall's W, and bootstrap confidence intervals, the same psychometric methods trusted in clinical research.

Make your AI agents cheaper, faster, and more reliable. 5 products, 14 MCP tools, 1 API key. Task deduplication, cost prediction, output validation, behavioral governance, and shared failure intelligence. Anonymous demo mode — try all tools without a key. 1,000 free credits/month, no card required. https://plith.ai/.well-known/mcp/server-card.json

Persistent memory for any AI assistant. Zero token cost until recall. Stores memories locally in SQLite, ranks by 6-factor scoring, returns results in TOON compact format (79% smaller than JSON). 17 MCP tools, 20 HTTP endpoints, 25 CLI commands. 4 tiers from keyword to autonomous with local LLMs via Ollama. 97.8% recall accuracy on ICLR 2025 LongMemEval benchmark. Works with Claude, ChatGPT, Grok, Cursor, Windsurf, Continue.dev, OpenClaw, Llama, and any MCP client. Open source, MIT licensed, written in Rust.

Deterministic pre-action verdict gate for agent memory — USE/WARN/ASK/BLOCK before an agent acts on a stored memory. Governs your existing store, doesn't replace it.

Full MCP server for the Portkey AI Gateway Admin API. 151 tools for managing prompts, configs, virtual keys, analytics, guardrails, integrations, and more from any MCP client.

A Node.js Model Context Protocol (MCP) server that exposes Together AI's inference endpoints — chat completions, image generation, vision, and embeddings — as tools callable from Claude Desktop, Cursor, VS Code, and any other MCP-compatible client. I created this MCP due to an issue I was having accessing reasoning models through Together AI. Together AI's largest reasoning models (GLM-5, Qwen3.5-397B, MiniMax M2.5, Kimi K2.5) use a non-standard response format. During chain-of-thought generation, these models write their reasoning trace into choices[0].message.reasoning while leaving choices[0].message.content as an empty string. The final answer only appears in message.content once thinking is complete.

Route text, image, video, and audio tasks to 20+ AI providers — automatically picking the best model for the job based on your budget and active profile.

Track and optimize AI API spending across 16 providers. Real-time pricing, model routing analysis, caching opportunities, unit economics, and spend forecasting. Connects to OpenAI, Anthropic, AWS, GCP, Stripe, and more. Tools: list_providers, connect_account, get_financial_overview, query_spending, get_recommendations, detect_anomalies, get_setup_status, upload_bank_csv

Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.

Adaptive security toolkit for AI agents. Assess inputs for prompt injection, scan outputs for credential/PII leaks, teach new attack patterns to semantic memory, harden prompts with role-lock and sandboxing, and monitor metrics — all locally via MCP. Zero false positives on benchmarks, 179 tests, Apache-2.0.

MCP server with 53 security intelligence tools — CVE/KEV, MITRE ATLAS+D3FEND, Sigma detection rules, email security posture (SPF/DMARC), domain & web intel, threat intel.

Ephemeral verification receipts for agent workflows. Agents create receipts to prove actions happened, then other agents verify before acting. Prevents duplicates, stale approvals, and unsafe retries. Receipts expire in 24 hours. Free API — sign up with the signup tool.

Portable execution context for agent workflows. Create structured capsules with summaries, decisions, and next steps that agents use for handoffs between sessions. Capsules expire after 7 days. Free API — sign up with the signup tool.

Scan APIs for security vulnerabilities and get OWASP risk scores. Detects auth bypass, BOLA/IDOR, data exposure, prompt injection, and 12+ security categories.

Scan OpenClaw SKILL.md and MCP tool definition files for security vulnerabilities. 22 rules across prompt injection, capability escalation, data exfiltration, encoded payloads, and composition risks. The only scanner targeting agent skill file formats.

Monitor whether ChatGPT, Claude, and Perplexity recommend your product. Track AI visibility scores across LLMs, get actionable recommendations, and monitor competitors.

AI agents call LLMs, invoke tools, and hit APIs — but have no built-in way to cap spend. A single agent loop can burn hundreds of dollars before anyone notices. Cycles MCP Server gives any MCP-compatible agent a runtime budget authority: tools to check, reserve, spend, and release budget before and after every costly operation. Works with Claude Desktop, Claude Code, Cursor, Windsurf, and any MCP host. Supports per-tenant budgets, soft-landing caps, and automatic heartbeat for long-running operations.

Atlas Cloud MCP Server enables developers to access state-of-the-art AI models for image generation, video generation, and LLMs through a unified MCP interface. Fast, scalable, and cost-efficient alternative to traditional AI providers.

Search and discover 100+ MCP servers, functions, and skills. Semantic search, full tool schemas, per-tool access control. No auth needed for discovery.

Rust MCP server that gives AI agents reliable web access. Bypasses Cloudflare and bot protection using Chrome-level TLS fingerprinting, no headless browser needed. 10 tools for scraping, crawling, search, structured extraction, summarization, and more. Output is clean markdown optimized for LLMs with 67% fewer tokens than raw HTML. 8 of 10 tools work locally without an API key.

AI hardware compatibility data for running LLMs locally. Query 50 models, 25 GPUs, 9 ready-to-buy machines, and 663 compatibility entries. Get hardware recommendations, check VRAM requirements, and find buy links.

A high-performance Model Context Protocol (MCP) server connecting AI assistants (Claude, Cursor, Windsurf) directly to TestRail.

Markdown-first Notion MCP server — 26 tools, 92% fewer tokens, full round-trip fidelity

Tamper-evident cryptographic audit trail for LLM outputs. Compliance logging for AI agent decisions. Tools: dcl_commit, dcl_verify, dcl_get_chain, dcl_report. Requires API key from fronesislabs.com

AI-powered credit optimization for Manus AI. Automatically analyzes each prompt and routes to the cheapest capable model (Standard vs Max, Agent vs Chat mode). Saves 30-75% on Manus credits with zero quality loss. Tested across 53 real-world scenarios. Free and open-source.

AI payment router for agents. Route 300+ LLMs via cost/quality/speed/balanced modes, enforce session budgets, and settle per-request in USDC on Base via x402 micropayments. 6 tools: p402_chat, p402_create_session, p402_get_session, p402_list_models, p402_compare_providers, p402_health. 1% flat fee. TypeScript, cloud-hosted.

Compresses large blocks of text, code, or conversation history into hyper-dense Reasoning Maps optimized for LLM context windows. Saves agents 80%+ on token costs. Stateless. Pay $0.001 USDC per compression via x402 on Base network.

Real-time AI behavioral drift monitoring. 37 tools tracking 11 LLM models with 9-score scorecards, silent version change detection, immune threat assessment, and compliance reporting. Free tier, no API key required.

The first MCP-native eval and observability tool for AI agents. Any MCP-compatible agent discovers and uses Iris automatically — no SDK, no code changes. Log traces with hierarchical span trees, evaluate output quality with 12 built-in rules (PII detection, prompt injection, cost thresholds), and track what your agents are actually doing and costing you. Real-time dark-mode dashboard, OpenTelemetry-compatible span structure, self-hosted with SQLite. MIT licensed.

Access 47 AI models and 30 services via MCP. LLM, image gen, video, speech, embeddings, reranking, PDF parsing & more. Pay-per-use with x402 (USDC) or API key.

An MCP (Model Context Protocol) server that provides real-time LLM token pricing data for 60+ AI models across 15 providers.

CP Log Analyzer automatically triages your log files using a local AI model. It scans for errors, deduplicates repeated events, analyses root causes using Ollama (deepseek-r1:14b), and files structured GitHub Issues — all running on your own machine with zero data sent to external servers.

Named after the Q-signal QSP ("Will you relay?"), qsp-mcp relays tool calls between a local LLM and MCP servers. Any model with function calling capability gains access to the full qso-graph tool ecosystem — 71+ tools across 12 servers — from local weights, not from cloud.

Returns the optimal LLM for any task based on real-time pricing, latency, and quality data across 13 models from Anthropic, OpenAI, Google, Meta, Mistral, and DeepSeek. Helps agents reduce costs by routing to the cheapest capable model. $0.01/query via x402 (Solana USDC). Free health and discovery endpoints.

Web fetching, search, and structured data extraction API built for AI agents. Fetch any page as clean markdown, raw HTML, or JSON-LD. Search the web and news across 20+ countries. One credit per request, no tiers, no subscriptions. 500 free requests on signup.

Free AI security & productivity tools — prompt injection tester, PII redactor, code sanitizer, context budget planner, model picker, and more. 6 tools available via MCP, all stateless and no auth required.

Autopilot AI orchestration — describe your intent, orchex auto-generates a plan, parallelizes it into streams with file ownership enforcement, self-heals failures, and routes across 6 LLM providers (Claude, OpenAI, Gemini, DeepSeek, Ollama, AWS Bedrock).

Save 30-75% on Manus AI credits with ZERO quality loss. Intelligent model routing (Standard vs Max), smart testing, section-by-section processing for long content, context hygiene, and 12 vulnerability patches. Audited across 22 real-world scenarios. Works as a Manus Skill that auto-analyzes every prompt before execution.

Scrape any webpage as clean Markdown and extract YouTube transcripts. Enterprise grade infrastructure at $0.001 per request.

Access 627+ AI models with one API key. Chat with GPT-5/Claude/Gemini, generate images with DALL-E 3/Midjourney/Flux, create videos with Sora 2/Kling/Veo 3, compose music with Suno V4, and more — all through MCP.

Config-driven MCP proxy that adds session-safe file uploads, artifact handling, and robust state and health controls for upstream MCP servers.

The Global Price Benchmark for AI Inference. AI inference pricing intelligence delivered as a native tool for AI agents. Query the world's most comprehensive inference price database: 1,600+ SKUs, 40+ vendors, 6 modalities, 25 AIPI indexes. Search models, compare cross-vendor pricing, access market benchmarks and KPIs. Independent. Transparent. Free tier included.

Real-time news events, clustered by AI from hundreds of sources, classified by topic and geography, ranked by importance. Free. No API key. One command to install.

MCP server for prompt engineering: optimize prompts for better AI responses, analyze quality scores, convert between formats, generate system prompts, and access prompt templates. 6 tools on Cloudflare Workers.

MCP server that converts any URL to clean, token-efficient Markdown for AI agents. Strips ads, navigation, and scripts. Supports CSS selectors, batch processing (10 URLs), and token counting.