🚀 The fast, Pythonic way to build MCP servers and clients

The most reliable AI agent framework that supports MCP.

Build effective agents using Model Context Protocol and simple workflow patterns

The Simple Agent Development Kit.

On-premises conversational RAG with configurable containers

A middleware to provide an openAI compatible endpoint that can call MCP tools

Query MCP enables end-to-end management of Supabase via chat interface: read & write query executions, management API support, automatic migration versioning, access to logs and much more.

A simple CLI to run LLM prompt and implement MCP client.

A Model Context Protocol (MCP) server that enables secure interaction with MySQL databases

Share code with LLMs via Model Context Protocol or clipboard. Rule-based customization enables easy switching between different tasks (like code review and documentation). Includes smart code outlining.

A Model Context Protocol (MCP) server that helps read GitHub repository structure and important files.

A Model Context Protocol (MCP) server for interacting with Twitter.

An MCP extension package for OpenAI Agents SDK

A MCP (Model Context Protocol) server for interacting with dbt.

Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG

🤖 Agentfy is a modular microservices architecture designed to process user requests and execute workflows across multiple social media platforms. ASK ONCE, LET THE AGENT DO THE REST!

BioMCP: Biomedical Model Context Protocol

MCP server for understanding AWS spend

MCP-NixOS - Model Context Protocol Server for NixOS resources

A Model Context Protocol (MCP) server that provides tools to interact with LinkedIn's Feeds and Job API.