Best AI GitHub Repos

# mcp-tunnels Connect Claude to an MCP server running inside your private network through an Anthropic [**MCP tunnel**](https://platform.claude.com/docs/en/agents-and-tools/mcp-tunnels/overview) — no inbound ports, no public exposure, no IP allowlisting on your origin. Traffic flows over an outbound-only connection. > **Research preview.** MCP tunnels is provided "as-is" with no uptime or > support commitment and depends on a third-party transport provider > (Cloudflare). Review the > [securit

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.

Mercado Pago full-product integration toolkit. One agent routes to four orchestration skills (mp-integrate wizard, mp-webhooks, mp-test-setup, mp-review) that pull every endpoint, payload, and snippet live from the official Mercado Pago MCP server. The MCP must always be connected — there is no offline mode.

Mergify Community Issue Tracker

🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

Access official Microsoft documentation, API references, and code samples for Azure, .NET, Windows, and more.

Plan a migration from Google Cloud Platform (and OpenAI/Gemini AI workloads) to AWS. Analyzes your Infrastructure-as-Code files, app code, and GCP billing data to discover resources, design an AWS architecture, estimate costs, and generate migration artifacts — including AI-provider mapping to Amazon Bedrock. Processing is local; your data stays in your environment.

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

Build beautiful documentation sites with Mintlify. Convert non-markdown files into properly formatted MDX pages, add and modify content with correct component use, and automate documentation updates.

Secure access to Miro boards. Enables AI to read board context, create diagrams, and generate code with enterprise-grade security.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

MLE-bench is a benchmark for measuring how well AI agents perform at machine learning engineering

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Specification and documentation for the Model Context Protocol

The OpenAI Model Spec

Keep your coding agent up to date with the latest web best practices

Run your monday CRM in plain language. Build a pipeline from scratch, start the day with a ranked deal briefing, spin up a forecast dashboard, audit board health, clean up messy data in bulk, and turn meeting notes into deal updates. Every skill writes back into monday as a real update, doc, or dashboard. Built on the official monday MCP connector.

Official Claude plugin for MongoDB (MCP Server + Skills). Connect to databases, explore data, manage collections, optimize queries, generate reliable code, implement best practices, develop advanced features, and more.

Connect to MongoDB Atlas clusters only through the Atlas Managed MCP Server. Sign in with your Atlas account to explore data, manage collections, optimize queries, generate reliable code with MongoDB best practices, and manage Atlas resources such as clusters, projects, database users, and network access. If you are running a different MongoDB deployment or want to run a local MongoDB MCP Server, install the MongoDB (Self-Managed MCP) plugin instead.

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflows for you

Run agents like Hermes, LangChain Deep Agents, and OpenClaw more securely inside NVIDIA OpenShell with managed inference

Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.