🤖 AI与机器学习 AI 工具

A workshop showcasing LLM evolution in travel assistance with MCP integration.

A versatile chat platform that integrates LangChain, custom MCP servers, and various AI models for enhanced chat capabilities.

MCpeg is an experimental gateway for Model Context Protocols, enabling rapid human-LLM collaboration.

A powerful retrieval-augmented generation (RAG) system that combines LinkUp's web search capabilities with CrewAI's document processing workflows to provide comprehensive, contextual answers.

MCP Server enhances Claude with structured reasoning and decision analysis.

Multi-Reasoning MCP orchestrates tasks with Codex, Gemini, and OpenAI, featuring a warm subprocess and fast search.

This project is designed to help you explore and understand the Model Context Protocol (MCP) through practical examples and utilities.

Simple, MCP server for web search in local LLMs usage.

A modern weather agent with React frontend and Node.js backend using MCP tools.

A starter template for AI agents with LangGraph, featuring MCP integration and a chat UI.

Bridge Google's Gemini CLI to any MCP-compatible AI assistant.

🛰️ A minimal MCP (Model Context Protocol) server built in Python using LangChain, LangGraph, and uv to fetch real-time weather temperature using GROQ LLM + WeatherAPI. Accepts natural language queries like "What's the weather in Tokyo?" and responds with live temperature data.

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A simple docker-compose setup for running LLM with MCP servers locally.

🎯 SHARP - Generate interactive 3D scenes from a single image in less than a second. All-in-One Docker with Web UI + REST API + MCP Server.

Learning-MCP: A deep dive into Model Context Protocol.

NasCoder Perplexity MCP offers advanced AI integration with multiple API models for enhanced search and reasoning.

A collection of MCP Servers

# A Book of Wisdom A book that provides random and philosophical answers to your questions.

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A server providing text counting tools for AI models using MCP.

A fashion recommendation system built with FastAPI, React, MongoDB, and Docker. It uses CLIP for image-based clothing tagging and provides a simple UI for users to upload images and receive recommendations

MCP Server for Mistral AI API - chat, embeddings, fine-tuning, OCR, audio transcription, agents and more

MCP client using Bedrock Converse

RAG Brain provides persistent memory for AI agents, enhancing learning and context retention.

Music generation MCP Server using Sonauto's API for Claude Desktop.

An MCP server that turns yor AI agent into a corn and wheat farming specialist

Serveur de recherche MCP avancé Google avec Fallback automatique

Nostr Explore MCP is a server for AI assistants to explore Nostr conversations and publish content.

A practical POC demonstrating how to build and run a local MCP server with Retrieval-Augmented Generation (RAG) for semantic search over internal documentation. Leverages Node.js, TypeScript, Hugging Face embeddings, and an in-memory vector store to enable fast, context-aware answers in tools like Cursor.

A collection of Generative AI samples using AWS services and partner products.

Veille technologique locale utilisant le protocole MCP, Claude desktop et un dashboard Streamlit . Commentaires et contributions bienvenus

🔥 3,800+ ready-to-import n8n workflows spanning AI agents, Box MCP demos, Pinecone RAG starters, and community automations — JSON-only exports with per-source licenses preserved.

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A hands-on project exploring Model Context Protocol (MCP) for AI integration.

A collection of tools to help an AI agent understand images through requests. After giving a single image, the request to zoom in and look about colors, measure dimensions, just a miscellaneous feature set to extend an AI agent in image handling.

A Demo Student Services Model Context Protocol Server

MCP server simulating protein folding on Modal cluster.

MCP Server

Um MCP Server que julga input e output para saber se o LLM alucinou ou não

MCP server for logical reasoning, proof construction, and problem-solving.

A toolkit for detecting adversarial modifications in fine-tuned language models.

This is a minimal demonstration project for the Model Context Protocol (MCP) — a simple standard for exchanging model context between clients and servers. It is designed to be easy to understand, lightweight, and practical for integration with OpenAI-compatible clients.

spring ai, mcp client, aws bedrock.

为多步Agent任务提供长期记忆的路由、写入、反思与刷新能力，支持跨会话上下文延续与重复工作流优化。

A minimal, production-ready Model Context Protocol (MCP) server enabling LLMs to perform web searches via DuckDuckGo. Built with FastAPI and Server-Sent Events (SSE).

A minimalistic FastAPI MCP server example using Chroma DB.

为7×24小时运行的AI Agent提供三层持久化记忆架构，以资源→记忆项→记忆分类替代平面文件，实现结构化长期记忆管理。

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