AI・機械学習リソース

LangChain-MCP-Adapters is a toolkit provided by LangChain AI that enables AI agents to interact with external tools and data sources through the Model Context Protocol (MCP). This project provides a user-friendly interface for deploying ReAct agents that can access various data sources and APIs through MCP tools.

This guide explains how to run the Ollama server in Docker, pull the llama3 model, and make it accessible to other containers (e.g., FastAPI or LangChain apps) through a custom Docker network.

mcp-observer-server is an MCP (Model Context Protocol) server that monitors file system events and provides real-time notifications to MCP clients. It acts as a (more bi-directional) bridge between your local file system and AI assistants like Claude Inspector, enabling them to respond to file changes automatically.

MCP Space is a complete platform for building and deploying AI tools using the Model Context Protocol (MCP). The system enables developers to create powerful AI agents through an intuitive chat interface without writing code, then deploy them with a single click to Cloudflare Workers.

ShadowPay is an AI-driven system designed to help users optimize their debt repayment strategies using advanced financial tools and intelligent assistance. The system is architected as a modular platform consisting of three main components:

Este repositorio contiene una suite de agentes de IA construidos con el framework Agno, demostrando diversas capacidades y casos de uso.

Several MCP demos (like an mcp server) written in Java with Spring Boot 3.5.x and Spring AI.

Empowering Universal Image Generation for AI Chatbots

This repository contains the client for the Openmost Matomo MCP server. It enables you to connect Claude AI Desktop (or any other LLM that supports MCP Model Context Protocol) to a Matomo analytics instance, via the Openmost MCP server.

The Model Context Protocol (MCP) provides a standardized approach for connecting context sources to large language models (LLMs). This tutorial demonstrates how to build a functional MCP server using Python's MCP SDK, enabling you to expose data, tools, and templates to LLM applications.

A comprehensive Docker Compose setup for multiple AI and development tools, all containerized and ready to deploy.

This repository demonstrates how to use MCP tools with both LangGraph and Crew AI.

An MCP (Model Context Protocol) server that allows AI assistants like Claude to create and manipulate 3D objects in a Babylon.js scene through text commands.

MCP server to expose kdriver to LLMs

Autonomous Memory Management System for Claude AI with Multi-Provider LLM Integration & Graph Database

Qiita MCP Gemini AI & Notion

The MCP Content Processor provides an automated, scalable API for code enhancement, OpenAI-powered code review, and seamless GitHub PR-based automation. It powers the Ethical AI Insider platform and supports multi-file pull requests, squash merges, webhook/event-based workflows, and automated documentation.

All about model context protocol + agentic RAG.

A Model Context Protocol (MCP) server that provides Nmap scanning capabilities for AI assistants and other MCP clients.

An MCP (Model Context Protocol) server that provides access to Enso documentation hosted on Mintlify, with integrated AI capabilities.

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

An AI-native Model Context Protocol (MCP) server that provides comprehensive project management context to AI agents. Built for seamless integration with Claude, OpenAI, and other AI systems via the Helios-9 API.

You can think of Agentic as RapidAPI for LLM tools.

Sync MCP (Model Context Protocol) configurations across AI tools.

A Model Context Protocol server that enables seamless interaction with Code Graphs.

A chatbot capable of answering user queries from uploaded PDFs, DOCX, PPTX, CSV, and TXT/MD using an agent-based architecture with Retrieval-Augmented Generation and Model Context Protocol for agent communication.

Link to Workshop: https://www.aiuserconference.com/speaker/hari-patchigolla

A minimal ModelContextProtocol server template for building AI assistant tools. This starter provides a basic structure for creating MCP tools that can be used with AI assistants like Claude.

Composable Contexts for High-Quality, AI-Powered Development

Welcome to the Strands MCP Q Index Perplexity repository! This project combines Strands Agents with MCP Tools, utilizing the Amazon Q Business Cross App index and the Perplexity Ask API.

A FastAPI-based server that implements the Model Context Protocol to provide relevant information to AI models when processing user queries.

Un chatbot inteligente especializado en cotizacin y estimacin de costos de construccin, con interfaz web y lnea de comandos.

Promot Share MCP Server MCP (Model Context Protocol) Cursor IDE AI

Add voice + tools to OpenAI's Realtime API in 3 lines of code.

zmir toplu tama verilerine eriim salayan bir Model Balam Protokol (MCP) sunucusu, AI asistanlarnn ehir ulam verilerini ve analizlerini sorgulamasna olanak tanr.

Welcome to the SchemaPin repository! This project focuses on the SchemaPin protocol, designed to cryptographically sign and verify AI agent tool schemas. Our goal is to prevent supply-chain attacks, ensuring that your AI tools remain secure and trustworthy.

A Simple AI agent for chat and using LLM and RAG

Chit-chat with multiple LLM models with MCP, RAG, history saving and loading

A simple Python module for creating Model Context Protocol (MCP) servers with Server-Sent Events (SSE) support.

Empowering spatial transcriptomics research by providing AI agents with a standardized interface to Nextflow pipelines, Viash components, and comprehensive documentation, accelerating discovery in the OpenProblems project.

Este proyecto implementa un servidor MCP (Model Context Protocol) que proporciona una serie de herramientas y servicios tiles para mejorar la experiencia de interaccin con modelos de lenguaje como Claude o ChatGPT o para su uso como servidor MCP en n8n u otros.

A high-precision, multi-language code search and analysis server for AI agents and developers, built on the Model Context Protocol (MCP).

ImageAlfred is an image Model Context Protocol (MCP) tool designed to streamline image processing workflows

H2OGPTe MCP Server is a Model Context Protocol (MCP) server that prifor the H2OGPTe project. The server is just a local proxy forwarding traffic to REST API endpoints of H2OGPTe executed as commnad.

The MCP (Model Context Protocol) Hub is an advanced multi-agent research and code assistant built using Gradio's MCP server functionality. This project demonstrates how to build a sophisticated workflow of interconnected AI agents that collaborate to provide comprehensive research capabilities and generate executable Python code.

An AI-powered ERPNext application builder that leverages Claude Hooks and advanced context engineering to generate complete ERPNext applications from PRDs or templates.

Now that you've got the basics of MCP down, it's time to dive deeper into the MCP features that will help you build more advanced AI connected apps.

An MCP (Model Context Protocol) server for interacting with the Trading Simulator API. This server enables AI models like Claude to check balances, check prices, and execute trades via an MCP-compatible interface.

MCP con Python para LM Studio

A comprehensive Model Context Protocol (MCP) server that provides access to Open-Meteo weather APIs for use with Large Language Models.

FastGPT FastMCP AI

NFTI your AI Agents & Virtual IP. Bridging intelligent agents, MCP protocols, and RWA to create a new era of digital sovereignty.

The Watsonx.data Document Library Retrieval MCP Server is a Model Context Protocol (MCP)-compliant service that seamlessly connects AI agents with document libraries in watsonx.data, enabling intelligent data retrieval and interaction.

The open alternative to Dia Connect your browser to AI models. No browser switching neededworks seamlessly with any Chromium browser including Chrome & Arc.

A Model Context Protocol (MCP) server that connects AI assistants to Pega Platform for case management and workflow automation.