Mcp Python Refactoring

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

A Model Context Protocol server that provides access to Redis databases. This server enables LLMs to interact with Redis key-value stores through a set of standardized tools.

Check your portfolio, cash transactions, movements, payed fees, growth history and more

test

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.

Retrieving and analyzing issues from Sentry.io

Local-first MCP server for searching private Obsidian vaults with hybrid full-text, fuzzy, semantic, and wikilink graph retrieval.

AgentLine is the telephony layer for AI agents. It gives your agent a real phone number making outbound calls, receiving inbound calls, and handling SMS all through a single API. No telecom infrastructure, no WebSocket wrangling, no separate STT/TTS providers to configure.

summarize chat message

Bitcoin blockchain data server for AI agents — 17 tools (fees, mempool, transactions, address portfolio, trace, whales, SEC insider trades, web scraping, AI summarization, systems theory, game theory, capital flows, Reddit). x402 USDC micropayments on Base. No API keys needed.

Analyze your workout history, manage routines, track progress, and help you plan future training using your real fitness data from Hevy

Hosted MCP server for source-provenanced US federal healthcare provider data — NPPES, CMS PECOS, Care Compare, OIG LEIE, Open Payments. Every field returns with its exact federal source, snapshot date, and SHA-256 attestation. Public data only; no PHI. Install: npx -y @fonteum/mcp

Trust ratings for AI agents and websites. Look up an agent's reputation, scan a site's AI-trust-readiness, and verify signed scorecards in-band — reads are zero-auth. From Mnemom, the trust layer for the agent internet.

MCP Advisor & Installation - Use the right MCP server for your needs

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

Remote MCP server with 10 tools: live brand AI-visibility audits (score 0-100, who AI recommends instead), AI Visibility Index dataset (25 brands, 5 industries), trucking profit & cost-per-mile calculators, DeFi yields, crypto prices, US Treasury rates, and macro risk-spread. Free catalog tool; paid tools are machine-payable per call via x402 (USDC on Base) — no API keys or subscriptions. Endpoint: https://x402-agent-store.rileycraig14.workers.dev/mcp

Social media scheduling MCP for AI agents posting to X, LinkedIn, Instagram, Facebook Pages, TikTok, Discord, Telegram, YouTube, Reddit, WordPress, and Pinterest.

Search bookable London sports availability — courts, pitches, lanes, classes, pickup games — across every major UK leisure-centre operator and aggregator. ~100k slots indexed across 527 venues, 5 sports. Read-only, anonymous, CC-BY-4.0 attribution for OpenActive sources.

Collective procedural-knowledge network for AI agents — the shared route map of the agent economy. Before attempting a non-trivial task (API integration, multi-step procedure), agents query Waymark for verified routes: step sequences and known gotchas other agents documented. After finishing, they attest the outcome, building trust scores by consensus. 100+ expert routes live across Stripe, GitHub, Slack, Salesforce, Kafka, Postgres and ~50 more domains. Blind-graded benchmark: 3.6× more known failure modes avoided, +45% first-try success (waymark.network/benchmark). Remote streamable-HTTP server — no install: https://mcp.waymark.network/mcp · Live dashboard: mcp.waymark.network/dashboard

An MCP server that flattens Claude Code sessions — keeping every prompt and event verbatim while reclaiming context tokens, so you resume the exact same raw conversation at a lower token count instead of compacting it into a lossy summary. It moves bulky tool output (large file reads, command logs, base64 screenshots) into a sidecar file, leaving a tiny retrievable reference in its place. Crash-safe, idempotent, and fully reversible. Real example from the README: a 317,236-token session flattened to 182,287 tokens.

Proton Drive CLI MCP server and Codex/Claude-ready metadata for the official Proton Drive CLI

Describe a real-world problem in plain language and Matchbox finds products built to solve it - with reasoning, honest caveats, what each product won't cover, and a frank 'no strong match' when nothing fits. The catalog (~12,000 products) focuses on early-stage and lesser-known products that search engines and LLM training data usually miss. Never sponsored; payment never affects ranking. Tools: find_products_for_problem, search_catalog, get_product. No auth required.

基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

Your AI can ship landing pages now. Convika is a landing page ops platform built for MCP clients. Connect from Claude, Claude Code, Codex, or any MCP-compatible AI client and manage the full landing page lifecycle in natural language: - Create a LP and preview it before going live - Publish to a global edge network (pages stay up independently of the dashboard) - Collect leads with forms and export submissions - Read basic analytics: traffic, sources, devices, conversions, and goals - Connect custom domains - Iterate safely with version history and one-step rollback Quick start: 1. Sign up free at https://app.convika.com/signup 2. Claude Desktop: Settings → Connectors → Add custom connector → https://mcp.convika.com Claude Code: claude mcp add --transport http convika https://mcp.convika.com 3. Ask your AI: "Create a landing page for my product and show me the preview." Auth: OAuth 2.1 — sign in with your Convika account when the client prompts you.

AI-powered job matching and application tracker. Analyze job listings against your resume, get a match score (0-100), identify skill gaps, generate cover letters, and track your application pipeline.

Know what every affiliate link actually earns, and fix what's bleeding revenue. See revenue per article, catch dead links before they cost you, and ask it anything in plain English. Works on any site.

Callingly is an MCP server that lets AI agents actually get leads on the phone. Connect Claude, ChatGPT, or n8n and it can place a call, send an SMS, or schedule a callback — Callingly dials your sales team, plays the lead's details, and warm-transfers the conversation. 8 tools: dispatch + AI calls, SMS, scheduling, sequences, and call reporting. Remote server (streamable HTTP) with OAuth 2.0.