#mcp

The .NET library to build AI agents with 30+ built-in connectors.

Self-hosted Bun/TypeScript agent runtime with composable tools, memory, skills, transports, and policy.

Python SDK for m8tes — give every customer their own AI agent through one API. Hosted runtime, 150+ integrations, scheduling, memory, human-in-the-loop.

Terminal code review with vi-like bindings. Live diffs, comments the agent answers, PR review, MCP built in.

PostgreSQL migration linter. Blocks unsafe migrations before merge: 112 rules, the real Postgres parser, lock analysis, auto-fix. CLI, GitHub Action, MCP.

CLI, MCP server, and npm library that turns any website into an API — no docs, no SDK, no browser.

Persistent memory & code intelligence server for AI coding agents. Deploy on VPS for shared memory across machines. Hybrid search (BM25 + pgvector), knowledge graph, impact analysis. 14 MCP tools. Works with Claude Code, OpenCode, Cursor, and any MCP client.

mcp tools for your favorite agent - be the best guide you can be

An MCP Server that enables AI assistants to interact with your local browsers.

Ask a human before your MCP tool does something irreversible — elicitation on both protocol revisions, with a two-call confirmation token for clients that cannot be asked

🏀 API FFBB — Modern async & typed Python SDK for FFBB public data (clubs, competitions, standings, lives) and Meilisearch search. Modern alternative to ffbb-api-client.

MCP server giving AI assistants verifiable access to PubMed, Europe PMC, US/UK drug labelling, and ClinicalTrials.gov. Built by PharmaTools.AI.

Streaming privacy for LLM apps: pii-leak-benchmark (does your gateway leak PII in streams?), chunk-invariance (one-line test for split-boundary leaks), mcp-ssrf-check, and a self-hosted redacting gateway.

Node-based canvas for AI media workflows - chain 100+ image, video, voice & music models (Seedance, Veo, Kling, Flux, ElevenLabs, Suno) into pipelines that run on schedules, webhooks & Telegram, then publish to 20+ platforms. Self-hostable with your own API keys. MCP server (150+ tools), SDK & CLI.

🌍 Terraform Model Context Protocol (MCP) Tool - An experimental CLI tool that enables AI assistants to manage and operate Terraform environments. Supports reading Terraform configurations, analyzing plans, applying configurations, and managing state with Claude Desktop integration. ⚡️

OKX trading MCP server — connect AI agents to spot, swap, futures, options & grid bots via the Model Context Protocol.

Canary is a local Interactive Brokers risk desk for MCP, CLI, the paired app, and Go. Standard binaries and every MCP tool are read-only; gated broker actions require the separate trading build.

Oto connector library (oto.tools) — open source, consommée par oto-cli (façade) et oto-mcp (serveur)

Make forms easier, LLM tools safer. Natural-language quantities, units, dates & ranges parsed into canonical values — zero dependencies, two-way.

Full-featured MCP support for Ruby and RubyLLM—making it easy to build structured, composable LLM workflows in pure Ruby.

Meta Ads (Facebook/Instagram) MCP server for Claude, ChatGPT, Perplexity & Cursor — the Meta node of Pipeboard’s 5-platform family (+ Google, TikTok, Snap, Reddit). Hosted remote MCP, badged Meta Business Partner, free plan — no self-hosting required.

📼 A declarative AI agent environment manager, written in Rust

PortOne MCP Server for Developers

Build admin dashboards in minutes with Vue 3 & PrimeVue

No repository description published.

Python CLI framework for tools AI agents can call safely: one-call manifest, JSON envelope on every exit, typed exit codes. Implements the CLI Agent Spec

Search & analytics data as infrastructure — MCP server for Google Search Console, Bing Webmaster Tools, Google Adsense and GA4, designed for AI agents and automation.

Statistical testing framework — 23 tests, effect sizes, power analysis

Moonshot kimi k3 terminal based coding agent & harness running on your own Cloudflare account.

Deep code indexing MCP server for AI agents. 25 tools: hybrid FTS5 + embedding search, call graphs, git blame/hotspots, build system analysis. Multi-repo workspaces, GPU-accelerated semantic search, 10 languages via tree-sitter. Fully local, zero cloud dependencies.