AI・機械学習リソース

MCP-native agent orchestration platform for intelligent document processing with real-time capabilities.

A Model Context Protocol (MCP) server that provides tools for searching YouTube videos, retrieving transcripts, and performing semantic search over video content.

Flowise Chat for SNOW-MCP-Demo

This project implements an intelligent agentic system that leverages the Model Context Protocol (MCP) to provide tool-calling capabilities to Large Language Models (LLMs). The system consists of an agent runner that communicates with a local LLM and an MCP server that exposes utility tools for weather information and currency conversion.

AI

A Model Context Protocol (MCP) server that provides structured access to the Comic Vine API, allowing AI assistants to easily query and retrieve comic book information in a conversational format.

A powerful PDF Question-Answering System that uses advanced embedding models and LLMs with Coarse-to-Fine search (RAG) approach. Features seamless MCP (Model Context Protocol) integration with Claude Desktop and comprehensive directory management capabilities.

A Model Context Protocol (MCP) server for Attio, the AI-native CRM. This server enables AI assistants like Claude to interact directly with your Attio data, providing a seamless integration between conversational AI and your CRM.

This project provides a Model Context Protocol (MCP) server that allows interaction with a Label Studio instance using the label-studio-sdk. It enables programmatic management of labeling projects, tasks, and predictions via natural language or structured calls from MCP clients. Using this MCP Server, you can make requests like:

+ AI (NEW!)

A Model Context Protocol (MCP) server that enables AI assistants to check email, process messages, and learn user preferences through interaction.

A CLI host application that enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP). Currently supports Openai, Azure Openai, Deepseek and Ollama models.

An AI Agent with optional Human-in-the-Loop Safety and Model Context Protocol (MCP) integration

Enable fast, free real-time web search and access premium data from trusted media brandsnews, financial markets, sports, entertainment, weather, and more. Build powerful AI agents with Dappier

Cyclops MCP allows your favorite AI agent to manage your Kubernetes applications. Cyclops MCP servers provide tools for agents to create and update existing applications safely.

Relay16 is a modern Nostr social client that integrates AI-powered tools through DVMCP (Data Vending Machine Context Protocol) for enhanced social media experiences.

This repository demonstrates a real-world use case of the Model Context Protocol (MCP) using .NET and Semantic Kernel. It integrates multiple MCP servers and a client that can invoke services dynamically through natural language chat. Read more about it here

An MCP (Model Context Protocol) server that allows AI agents to query and manage jobs in the AI Connect platform.

An MCP server that enables AI agents to control web browsers using browser-use.

Status: Production Ready | Version: 2.1.0 Features: Collaborative Memory Editing | Real-time Synchronization | Vector Consistency

Model Context Protocol (MCP) is a lightweight framework for managing and sharing contextual memory across language models in real time.

Flint is a FastAPI-based server that integrates with the Blender MCP (Multimodal Capability Protocol) addon, enabling the generation and export of 3D models from text prompts using Claude. This guide provides step-by-step instructions for setting up and running an MCP server on macOS, configured to work with visionOS. To use Flint you will require an API key for accessing Claude.

-> Visit the Course on Udemy

DouBaoFreeImageGen MCP MCP

This project demonstrates the integration of a Large Language Model (LLM) with a Couchbase database using the Model Context Protocol (MCP) and the OpenAI Agents SDK. It showcases how an AI agent can understand natural language queries, interact with a Couchbase instance to retrieve or manipulate data, and provide meaningful responses. This demo specifically focuses on querying a sample database travel-sample containing information about hotels, airports, airlines, routes, and landmarks, primarily within an inventory scope.

Transform text, YouTube videos, and web content into beautiful mind maps using AI

FastMCP-based Model Context Protocol (MCP) server for querying Feyenoord football match data using natural language. Compatible with Claude Desktop and other MCP clients.

MCP (Model Context Protocol) AIAIMCP

A minimal tool to generate synthetic datasets using MCP-Use and OpenAI.

A demonstration project for the Medium article "Build Your iOS Library MCP Server to Supercharge AI Agent Search". This project showcases how to create a Model Context Protocol (MCP) server that makes design system components and documentation easily discoverable by AI assistants.

An intelligent MCP (Model Context Protocol) server that transforms your Limitless Pendant data into actionable insights for AI tools like Claude, Windsurf, and others. This enhanced version provides advanced features like natural language time queries, automatic meeting detection, smart action item extraction, and comprehensive daily summaries.

A comprehensive Model Context Protocol (MCP) server providing advanced access to the UniProt protein database. This server offers 26 specialized bioinformatics tools enabling AI assistants and MCP clients to perform sophisticated protein research, comparative genomics, structural biology analysis, and systems biology investigations directly through UniProt's REST API.

Aiming to make using MCP with RubyLLM as easy as possible.

Intelligent code analysis and visualization powered by Model Context Protocol

An AI-powered chatbot assistant for generating reports fast, smart, and in PDF

A collection of tools for working with FHIR (Fast Healthcare Interoperability Resources) data, designed to be used with Large Language Models via the Model Context Protocol.

This Snowflake MCP server provides tooling for Snowflake Cortex AI features, bringing these capabilities to the MCP ecosystem. When connected to an MCP Client (e.g. Claude for Desktop, fast-agent, Agentic Orchestration Framework), users can leverage these Cortex AI features.

A demo mcp server written in Java with Spring Boot 3.5.0 and Spring AI.

MCP Server for the Grok API, enabling chat, completions, embeddings and model operations with Grok AI.

Model Context Protocol (MCP) AI

pythonMCPServer

FastAPIAIAPI

A local OCR server using Mistral OCR, compliant with MCP principles. This server allows you to perform OCR on uploaded images and interact with it via a Model Context Protocol (MCP) interface.

This repository contains an MCP (Model Context Protocol) server that integrates with Sensay.ai's Replika. The goal is to bridge the gap between AI code generation tools (like Cursor IDE) and your organization's business rules (e.g. pricing, KYC compliance, regulatory data). The MCP server exposes an API for developers and AI agents to query business logic stored in Replika's RAG system, enabling direct access to business knowledge while writing code.

MCP Vision Adapter is a universal, open-source MCP (Model Context Protocol) adapter for all CLI projects. It is designed to modernize and connect your classic automations, scripts, and detection tools to LLM/agent ecosystemsno matter how old or gold they are!

A Model Context Protocol (MCP) server for AI-powered resume tailoring. This service lets you tailor your resume/CV for specific job descriptions automatically, creating both Markdown and LaTeX/PDF versions optimized for ATS systems.

AI AgentMCPAgent

(MCP) Django Ninja AI Claude AI

Model Context Protocol (MCP) AI

This is a simple MCP (Model Context Protocol) server that connects to the PokAPI and exposes tools that an LLM can use to fetch Pokmon data, list popular Pokmon, and build a tournament squad.

A modular Model Context Protocol server for AI services with multiple transport options and dynamic service selection. Built with SOLID principles for maintainability and extensibility.

A tiny Ruby implementation of the Model Context Protocol (MCP) that makes it easy to create and serve tools locally for AI assistants.

This project demonstrates a multi-tool AI agent using LangGraph, FastMCP, and Streamlit.

Summarize, Transcribe, and Sentiment

A powerful multi-agent system for automatically reviewing, updating, and improving educational materials about the Model Context Protocol (MCP).

This project implements an AI-powered financial analysis system using CrewAI, which can analyze stock data and generate visualizations based on natural language queries.