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Turns Model Context Protocol server tools available in AutoGen >= v0.4

FastMCP Server for USPTO data

A powerful MCP Server that enables AI assistants like Claude to interact with humans through intuitive GUI dialogs. This server bridges the gap between automated AI processes and human decision-making by providing real-time user input tools, choices, confirmations, and feedback mechanisms.

SwiftLens is a Model Context Protocol (MCP) server that provides deep, semantic-level analysis of Swift codebases to any AI models. By integrating directly with Apple's SourceKit-LSP, SwiftLens enables AI models to understand Swift code with compiler-grade accuracy.

Dynamic FastMCP extends the Model Context Protocol Python server with context-aware tools that adapt their behavior and descriptions based on user, tenant, and request context.

Model eXecution + Context Protocol: Enterprise-Grade Data-to-AI Infrastructure

AI-Powered Threat Intelligence MCP tool

A Model Context Protocol (MCP) server that enables AI assistants to securely access and analyze Microsoft Fabric Analytics data through authenticated API calls.

A Model Context Protocol (MCP) server that enables AI assistants to control Keynote presentations through AppleScript automation.

A Model Context Protocol (MCP) server that provides comprehensive access to MetaTrader 5 trading platform functionality through Python.

Expose Django admin models to MCP (Model Context Protocol) clients. Add a mixin to your ModelAdmin classes and let AI assistants like Claude perform CRUD operations, execute admin actions, and explore relationships—all respecting Django's permission system.

The Simple Agent Development Kit.

A detailed hands-on tutorial for learning Model Context Protocol (MCP) server development with Python. Includes working examples, VSCode debugging setup, tests, and a step-by-step guide covering everything from basic architecture to deployment. Perfect for anyone wanting to build AI-integrated tools and to understand how Claude extensions work.

SAP Datasphere MCP Server - AI-powered access to SAP Datasphere APIs

A Model Context Protocol (MCP) server that enables AI assistants to securely interact with Odoo ERP systems through standardized resources and tools for data retrieval and manipulation.

The universal configuration manager for your AI assistants. Define context once in a single ai-rulez.yml file, and use the CLI to generate synchronized instructions for Claude, Cursor, Copilot, and all your favorite AI tools.

Model Context Protocol server for Dash-style docsets

An MCP Server for PDFs

This is a Model Context Protocol (MCP) server that gets answers from your Perfetto Traces. It turns natural‑language prompts into focused Perfetto analyses.

FreeCAD MCP - Open-source Model Context Protocol server for FreeCAD automation

Spark is a powerful, multi-provider LLM interface for conversational AI with integrated tool support. It supports AWS Bedrock, Anthropic Direct API, and Ollama local models through both CLI and Web interfaces.

OmniMind: An open-source Python library for effortless MCP (Model Context Protocol) integration, AI Agents, AI workflows, and AI Automations. Plug & Play AI Tools for MCP Servers and Clients, powered by Google Gemini.

A Custom MCP Server for LinkedIn integration built with FastMCP.

Python A2A is a powerful, easy-to-use library for implementing Google's [Agent-to-Agent (A2A) protocol](https://google.github.io/A2A/). It enables seamless communication between AI agents, creating interoperable agent ecosystems that can collaborate to solve complex problems.

A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-loop, thinking mode, model params config, MCP prompts, custom system prompt and saved preferences. Built for developers working with local LLMs.

Architectural intelligence layer for AI coding agents. Structural graph, architecture governance, multi-agent orchestration, vulnerability mapping. 139 commands, 101 MCP tools, 26 languages, 100% local.