AI・機械学習リソース

A simple AI-powered travel assistant built with LangChain and Model Context Protocol (MCP) servers.

This project includes two implementations for interacting with an Azure AI Agent Service agent configured with Model Context Protocol (MCP):

A Model Context Protocol (MCP) server that integrates with the Veracode API to provide AI assistants and automation tools with read-only access to application security information, scan results, and compliance data.

MCP-MCP is a Meta-MCP Server that acts as a tool discovery and provisioning service for the Model Context Protocol (MCP). When an AI assistant needs a capability that isn't currently available, it can ask MCP-MCP to discover and suggest appropriate MCP servers from a comprehensive database of over a thousand servers aggregated from multiple curated sources.

A modular GPT-4 agent orchestrator with memory, recursion, and plugin support.

LangGraphLangChainReActModel Context Protocol (MCP) LangGraphReAct AgentMCP

MCP - AI (Claude, Cursor, Windsurf, VSCode Copilot ) .

A Model Context Protocol (MCP) server built with mcp-framework that provides an image generation tool using Templated.io.

AIWriteX CrewAI AIPy ++AI

Augmented LLM Agent Chat + MCP + RAG

The MCP Weather Server is a comprehensive Model Context Protocol (MCP) compliant server designed to provide AI agents with access to real-time and historical weather data. Built using Python and FastAPI, it integrates with multiple weather APIs to deliver accurate, up-to-date meteorological information.

An MCP server that provides shell command execution and OpenAI Whisper transcription capabilities.

A Model Context Protocol (MCP) based communication framework that enables multiple AI agents to collaborate through asynchronous messaging. Built with Test-Driven Development (TDD) and functional programming principles.

A FastAPI-based service for creating and querying knowledge graphs using Neo4j, with support for PDF processing and RAG (Retrieval Augmented Generation).

Python REPL MCP .

Data-driven insights for Japan's healthcare transformation through AI implementation

Production-ready Model Context Protocol (MCP) server with advanced LLM text generation, context memory management, and intelligent template systems.

InvestMCP is a comprehensive suite of Model Context Protocol (MCP) servers that transform Claude AI into a powerful stock analysis assistant. This project enables seamless integration between Claude and financial data sources, allowing for natural language investment analysis through conversation.

Welcome to the Stagehand repository! This framework empowers developers to automate web browsing tasks using artificial intelligence. It integrates seamlessly with popular tools like Playwright, Puppeteer, and Selenium, making it versatile for various automation needs.

A powerful Ghidra extension that provides an MCP (Model Context Protocol) server, enabling AI assistants and other tools to interact with Ghidra's reverse engineering capabilities through a standardized API.

Claude Historian is an MCP server designed to manage and store conversation history from Claude Code. This project aims to streamline interactions with Claude AI by providing a robust backend that can handle conversation logs effectively. Built using TypeScript, it leverages the MCP SDK to enhance the capabilities of Claude AI.

A Model Context Protocol (MCP) server that provides intelligent access to StoreHub BackOffice APIs, enabling natural language queries for business insights, inventory management, sales analytics, and customer insights.

Building Multi-Agent AI App with Googles A2A (Agent2Agent) Protocol, ADK, and MCP

A collection of Model Context Protocol (MCP) servers that enable Claude and other AI assistants to interact with scientific computing resources and data management services.

Version 0.1.0 MVP public release Conforms to the Model Context Protocol spec (20250618).

A headless AI agent, which integrates with LLMs and MCP servers.

A Model Context Protocol (MCP) server that provides AI assistants with access to Automatisch workflow automation capabilities.

AI Productivity Analysis for Medical Fees in Japan

This repository contains tool configurations optimized for AI agent comprehension and decision-making.

An open-source implementation of the code indexing and context awareness capabilities found in AI-powered IDEs like Cursor and Windsurf, built with Milvus vector database and popular embedding models. You can build your own AI Coding IDE or code search plugin with it, or directly integrate it into your existing IDEs through MCP or VSCode extension.

Self-hosted MCP Server registry for your private AI agents

AI

A Model Context Protocol (MCP) server for Brutalist UI components, providing AI assistants with access to component source code, examples, styles, and metadata from the Precast Brutalist UI registry.

MCP (Model Context Protocol) Claude AI

This project presents a robust and extensible Model Context Protocol (MCP) server designed to enable seamless interaction between Large Language Models (LLMs) like Claude and your on-premise OpenStack cloud environment. By acting as a standardized interface, this MCP server allows LLMs to manage and query OpenStack resources through natural language commands, bridging the gap between advanced AI capabilities and traditional cloud infrastructure management.

This bot inputs one of the top 10 companies under NSE, dependant on the user, after which collects information from multiple tools, uses MCP to manage context and Gemini API to summarize the content.

MCP AI Powered Threat Intelligence - Revolutionizing Cybersecurity Built by Arjun Trivedi (4R9UN) - Enterprise-Grade Threat Intelligence Platform

"My Secretary" is a Python project that provides a conversational assistant for Gmail and Google Calendar, powered by Google APIs, LangChain, LangGraph and MCP. It enables you to automate email and calendar tasks, interact with language models and use a web frontend for chat-based interaction.

RAG-MCP is a system that combines Retrieval Augmented Generation (RAG) with Multi-Channel Principles (MCP), designed to optimize the interaction experience between Large Language Models (LLMs) and tools. The system intelligently retrieves relevant tools and knowledge, significantly improving token efficiency, response time, and accuracy.

A comprehensive AI-powered research intelligence system that processes PDF research papers, performs advanced web search, and generates perfect PowerPoint presentations with semantic search and research analysis capabilities. Now with full MCP protocol compliance, progress tracking, AI sampling, and seamless FastAPI integration!

Model Context Protocal Implemenation in Pythonic way.It's small project that embracess mcp.Am working on it .....

This repo is for predicting the flow field of a lead-cooled fast reactor main pump under different operating conditions quickly. Like, way faster than rerunning CFD every single time. The idea is: get the trends, save your time, and maybe (just maybe) shorten the design loop in the early stages.

A Model Context Protocol (MCP) server implementation with HTTP streaming capabilities, built with TypeScript and Express. This project demonstrates how to create an MCP server that can communicate with AI clients over HTTP using streaming responses.

Marv is a conversational AI-powered CLI assistant that helps users create, manage, and optimize Google Ads campaigns using natural language. It integrates directly with Google ADK (Agent Development Kit) via MCP tools and runs fully in the terminal using interactive CLI prompts.

Universal MCP server connecting any AI client to Letta.ai's powerful stateful agents.

Browser-based Model Context Protocol (MCP) implementation that enables AI assistants to interact with web applications through standardized MCP tools.

This repository provides a Model Context Protocol (MCP) server that connects LLMs and applications to Decodo's platform. The server facilitates integration between MCP-compatible clients and Decodo's services, streamlining access to our tools and capabilities.

A Model Context Protocol (MCP) server that provides browser automation capabilities using chromedp. This server enables AI assistants to interact with web pages, manage browser instances, and perform various web automation tasks.

This project provides an agentic, MCP-tool-driven system for interacting with a PostgreSQL database using LLMs. It leverages LlamaIndex, Ollama, and a custom workflow to interpret user requests, select appropriate database tools, and execute operations transparently. The system is designed for extensibility and ease of use.

MCPAI - AI

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AI

A comprehensive demonstration project featuring a realistic PostgreSQL dataset for Zava DIY, a fictional home improvement retail company, combined with two specialized Model Context Protocol (MCP) servers. This project showcases advanced retail analytics, AI-powered product search capabilities, and secure multi-store data access patterns.

An AI chatbot application with Model Context Provider (MCP) integration, powered by Langchain and compatibility for all major Large Language Models (LLMs) and Embedding Models.

In German, Muster means "pattern" or "sample." This project provides the building blocks for AI agents to discover patterns and collect samples from any digital environment. It gives them a universal protocol to interact with the world.

This is a minimal example of a Deep Research style MCP server for searching and fetching cupcake orders.