AI & Machine Learning MCP Servers

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate

Ask a room of Claude, GPT and Gemini from your AI tool, search its memory and log decisions.

Hong Kong Health MCP Server providing health data tools

AutoGen MCP

MCP server that detects and fixes LLM prose patterns (slop) in text

基于 Claude API 的视觉识别 MCP server:为不支持视觉的主模型多一双眼睛。内部 http 直调视觉网关,图片放 user message 顶层 image content block,tool_result 仅返回文字描述,绕开 tool_result 内嵌 image 的网关兼容缺陷。

Instagram Direct Messages MCP server for Claude Desktop

Asynchronous MCP wrapper for OpenAI Codex CLI with context filtering

Browser-based voice input/output for AI Assistant conversations via MCP (Model Context Protocol)

A vector embedding-based code semantic search tool with MCP server and multi-model integration. Can be used as a pure CLI tool. Supports Ollama for fully local embedding and reranking, enabling complete offline operation and privacy protection for your code repository

Integrate Arduino-based robotics (using the NodeMCU ESP32 or Arduino Nano 368 board) with AI using the MCP (Model Context Protocol) framework from Claude Anthropic

A Memory System for AI Agents - Rust-based semantic memory with embeddings, LLM consolidation, and MCP support

Learn how to implement MCP client with SwiftUI and Anthropic API

MCP Crew AI Server is a lightweight Python-based server designed to run, manage and create CrewAI workflows.

Unofficial study guide for Anthropic's Claude Certified Architect (CCA-F) certification. Covers agentic loops, multi-agent systems, subagents, MCP servers, hooks, tool routing, CLAUDE.md hierarchy, slash commands, plan mode, and Claude Code CI/CD pipelines.

基于ollama推理框架本地部署的Agent应用，实现MCP工具调用，短长期记忆等功能。|| A locally deployed agent application built on the Ollama, featuring MCP tool integration along with both short-term and long-term memory support.

This is a repository of collection of many agents build on top of Langchain , Langgraph, MCP and so many amazing tools

Simple MCP Client CLI Implementation Using LangChain ReAct Agent / TypeScript

AI-Powered Document Intelligence for Paperless-ngx — Semantic search, auto-classification, receipt extraction, DATEV export. 100% local with Ollama. MCP Server for Claude Code.

AI-powered autonomous code debugger built with MERN Stack + Groq AI + MCP — upload your project ZIP, let the AI agent inspect, analyze, and fix bugs step by step.

AI image and video generation, editing, and region repair via Gemini, OpenAI, and Grok.

39 AI tools: transcription, video description, image & video generation, TTS, music, OCR via deAPI

A tutorial on how to use Model Context Protocol by Anthropic and Agent2Agent Protocol by Google

A Model Context Protocol (MCP) server implementation connecting Claude Desktop with DeepSeek's language models (R1/V3)