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LADU’s MCP server connects AI assistants directly to LA County ADU data. Ask about any address and get a plain-English buildability verdict, the parcel’s zoning and regulatory overlays (hillside, coastal, fire, flood, historic, fault zones), and the governing city’s ADU rules. Query permit statistics for any of 51 supported LA cities — totals, year-over-year trends, and valuation distributions from 19,000+ cleaned permit records going back to 2018. Compare two cities side by side, estimate project costs by type and finish level, or find permitted ADUs near an address.

Local daemon that tracks Claude Code and OpenCode sessions in real-time. Exposes an MCP server so Claude can query its own usage mid-session: quota status, session cost, top tools, weekly insights, burn rate, and model breakdown. No cloud, no accounts — everythin stays on disk.

A Go MCP server that indexes .md/.docx/.html/.pdf into a searchable knowledge graph and runs drift audits to flag stale, conflicting, or undocumented content — letting agents govern documents like code.

Budget & cost control for AI agents: hard per-agent spend caps, rate limits, idempotency, and human-in-the-loop approval — enforced before each LLM call, not after the invoice. One hosted MCP endpoint (no proxy or self-hosting), settled via x402 (USDC on Base).

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.

Superfact is a remote MCP server that turns your agent's output into a beautiful, shareable public page. Call superfact.publish with structured JSON and a template, and get a clean public URL back in seconds. No model in the publish path: JSON in, templated HTML out. Vendor-neutral and MCP-native. Free during preview.

Intentions gives your AI assistant a personalized timing layer through MCP. Ask when to act — a date, week, month, year, or hour — and get a clear 0–100 timing score, verdict, and explanation based on your own energy profile rather than generic advice. Use it to compare launch dates, find the best travel window, choose interview timing, or scan upcoming periods for support, pressure, and friction. Includes day, month, year, hour, and energy chart tools. Free tier includes 5 readings/day. Hour-level precision is available on Pro.

Enable AI agents such as Claude, Co-Pilot, Codex, and other compatible tools to create, manage, and optimize advertising campaigns on ChatGPT.

MCP-native memory layer for Claude Code, Cursor, Cline, Continue, and 16 other AI tools. Hybrid search (BM25 + pgvector + graph), self-hosted on Supabase + Vercel, 100% MIT, no paywall.

An open-source MCP server that makes government pet-food and veterinary-drug recall data queryable by AI assistants. Search and filter active recalls, fuzzy-match a specific product, and subscribe to email alerts — sourced daily from the Government of Canada (CFIA) and the US FDA (OpenFDA). Zero config: just npx.

Neural-OS — The mobile-first AI agent OS. Featuring sovereign agent tools for DePIN compute arbitrage, data bounty hunting, enterprise lead bartering, and live crypto pricing execution.

Web and local search using Brave's Search API

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

LADU’s MCP server connects AI assistants directly to LA County ADU data. Ask about any address and get a plain-English buildability verdict, the parcel’s zoning and regulatory overlays (hillside, coastal, fire, flood, historic, fault zones), and the governing city’s ADU rules. Query permit statistics for any of 51 supported LA cities — totals, year-over-year trends, and valuation distributions from 19,000+ cleaned permit records going back to 2018. Compare two cities side by side, estimate project costs by type and finish level, or find permitted ADUs near an address.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

mcp-kinetic-gain is a single stdio MCP server that exposes all eleven Kinetic Gain Protocol Suite specs to any MCP-compatible client (Claude Desktop, Cline, Cursor, etc.) — 71 tools across AEO Protocol, Prompt Provenance, Agent Cards, AI Evidence Format, MCP Tool Cards, AI Tutor Cards, Student AI Disclosure, Classroom AI AUP, Clinical AI Disclosure, AI Incident Card, AI Procurement Decision Card, plus the DefenseTech 6-pack tooling shipped in v0.8.0. Includes ed25519 attestation verification, hash-chained audit-stream event composition and chain verification (offline AND live against a running audit-stream-py via the optional AUDIT_STREAM_URL env var), cross-spec drift detection, and a Decision Intelligence preview that generates a PolicyBundle from a Decision Card, infers rubric status, and plans incident remediation. Also doubles as a CLI: `npx mcp-kinetic-gain validate path/to/doc.json` auto-detects which Suite spec a JSON file belongs to and validates it against the same zod schemas the MCP tools use. No API key. No build step. Headline tools: aup_check_compliance, decision_card_validate, decision_card_to_policy_bundle, attestation_verify, suite_doc_drift, audit_chain_verify, audit_event_emit, audit_events_query, audit_chain_verify_live. Repo: https://github.com/mizcausevic-dev/mcp-kinetic-gain Suite: https://suite.kineticgain.com License: Apache-2.0

Market knowledge layer for AI agents. Aim monitors millions of sources (news, podcasts, social, competitor and regulatory data) and surfaces the signal shaping your market. Remote MCP server (streamable HTTP, OAuth) at https://mcp.startaiming.com/mcp. Learn more at https://www.startaiming.com

Connect Cursor, Claude Desktop, and Codex to your Devvyboard workspace. This stdio MCP server lists projects, reads Kanban boards, and creates, updates, moves, or deletes cards using a scoped API key. Requires Devvyboard Pro and Node.js 20+.

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MCP server to provide Figma layout information to AI coding agents like Cursor

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.

A Model Context Protocol (MCP) server that integrates with Jina AI Search Foundation APIs.

CryptoQuant MCP gives AI agents direct access to institutional-grade on-chain and market data across Bitcoin, Ethereum, XRP, stablecoins, and ERC20 tokens — covering 245 endpoints across exchange flows, miner data, network indicators, derivatives, fund data, and more. Built for analysts and developers who need defensible, data-driven answers, not approximations. Query real-time metrics like exchange netflow, MVRV, SOPR, realized price bands, funding rates, and miner revenue directly inside any MCP-compatible agent — no manual data export, no dashboard switching. Backed by CryptoQuant's professional research team, whose institutional-grade analysis is also accessible via the MCP through research and QuickTake endpoints. Supported assets: BTC, ETH, XRP, Stablecoins, ERC20, TRX Data categories: Exchange flows, miner flows, market indicators, network data, derivatives, fund data, lightning network, mempool, DeFi, AMM/DEX data

Create a remote sandbox that can execute code/run commands/upload and download files. 创建远程沙盒，可以执行代码/运行命令/上传下载文件

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

A deterministic, offline design-intelligence engine for AI coding tools. Replaces improvised UI generation with structured constraints plus a rule-based anti-AI-slop linter. Ships as a Claude Code plugin, a Python package, an MCP server (18 tools), and a 17-IDE installer.

Open-source memory for AI coding agents. Tell your agent to "remember" something in Cursor, Claude Code, Codex, or Gemini CLI, and Krimto saves it as a plain markdown file in a git repo you own — not rows in a vendor's database. Recall it later in a new chat, a different editor, or on another machine. One npx command, no account, no API key. Apache-2.0, with a user → team → org scope hierarchy so a team can share memory while personal notes stay private. Run: npx @krimto-labs/krimto init

Give your AI agents native, governed access to Salesforce. 700+ purpose-built tools spanning every Salesforce object — Accounts, Leads, Opportunities, Cases, Campaigns, Orders, and more — all protected by DataGrout's enterprise security layer.