AI・機械学習リソース

This repository contains the Model Context Protocol (MCP) Server used by AI Agents. It is built using the @modelcontextprotocol/sdk, which allows integration with various AI models. The project uses Node.js and TypeScript to provide a robust implementation of the MCP protocol.

OpenAI image generation MCP server

A universal AI-compatible interface for interacting with the Speechlab AI dubbing platform

The MCP server for CodeVideo. Create software educational content using natural language.

A Model Context Protocol server

This repository shows endtoend plumbing between a Salesforce org and an LLM agent using the Model Context Protocol (MCP).

MCP Advisor is a discovery & recommendation service that helps AI assistants explore Model Context Protocol (MCP) servers using natural language queries. It makes it easier to find and utilize the right MCP tools for specific tasks.

AtomGit MCP AtomGit (MCP) AI AtomGit issuespull requestsbranchlabel

This project defines a Model Context Protocol (MCP) that integrates with the Linear GraphQL API to provide structured, actionable context for Large Language Models (LLMs). The goal is to enable advanced roadmap generation, gap analysis, issue creation, and visualization all driven by your team's real-time Linear data.

A command-line tool that transforms any OpenAPI service into a Model Context Protocol (MCP) server, enabling seamless integration with AI agents and tools that support the MCP specification.

An AI Chatbot powered by large language models and tools like Arxiv, Wikipedia, Tavily, and MCP servers.

The MCP-RAG TypeScript server provides three main tools:

Browser console MCP client and Cursor MCP server. Let your AI assistant control the browser!

A Model Context Protocol (MCP) server for interacting with SeaTunnel through LLM interfaces like Claude.

A Model Context Protocol (MCP) server for integrating the Pinterest API with AI agents and LLMs.

A Model Context Protocol (MCP) server that enables Claude AI to interact with Token.io banking APIs. This server allows Claude to perform various financial operations through natural language requests.

An MCP (Model Context Protocol) server that provides code review functionality using OpenAI and Google models. It serves as a "second opinion" tool for code review that can be used with any MCP client, including Claude Code, Claude Desktop, Cursor, and Windsurf.

When deploying to Vercel, you need to set up the following environment variables in your Vercel project settings:

This is a Model Context Protocol (MCP) server implementation that allows AI assistants to interact with Spotify's API. The server provides endpoints for searching tracks, getting artist information, and managing playlists.

A Model Context Protocol (MCP) server that allows you to get quotes, trade transactions and token information from Monorail's APIs allowing your AI to take advantage our aggregation of 11 exchanges and 7000+ tokens.

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Cloudflare's API.

This repository contains the source code for a TypeScript/Node.js implementation of a Model Context Protocol (MCP) Server. This server can be used to expose various tools and functionalities to MCP-compliant clients.

An MCP (Model Context Protocol) server is a software program that acts as a bridge between Large Language Models (LLMs) and external resources like databases, tools, and data sources. It enables LLMs to interact with these external systems in a standardized and secure way, allowing them to access information and perform actions on behalf of users. Integrated with Gmail Api, now it can send, read, update, filter and delete emails.

A server implementation of the Model Context Protocol (MCP) to enable AI assistants like Claude to interact with Google's Gemini API.

A Model Context Protocol (MCP) server for Flipt, allowing AI assistants to interact with feature flags.

A Model Context Protocol (MCP) server for YARA scanning, providing LLMs with capabilities to analyze files with YARA rules.

The Trustwise MCP Server is a Model Context Protocol (MCP) server that provides a suite of advanced evaluation tools for AI safety, alignment, and performance. It enables developers and AI tools to programmatically assess the quality, safety, and cost of LLM outputs using Trustwise's industry-leading metrics.

A repository for Python AI solutions including MCP (Message Coordination Protocol) server and client implementation.

A Model Context Protocol server that provides browser automation capabilities using BrowserCat's cloud browser service. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment without needing to install browsers locally.

This repository contains MCP server that will host Browser Use Agent as tool and access to different API services from other solution Phantom QA Agentic Workflow. The APIs call into services in Phantom RAG Platform

An MCP server to extend the context window / memory of agents. Useful when coding big features or vibe coding and need to store/recall progress, key moments or changes or anything worth remembering. Simply ask the agent to store memories and recall whenever you need or ask the agent to fully manage its memory (through cursor rules for example) however it sees fit.

The Tazapay MCP Server is a Model Context Protocol (MCP) server designed to bridge LLM-based tools with Tazapay's Payments API. It supports structured tool invocation for seamless payment automation and foreign exchange capabilities.

This server acts as a command execution gateway for the Buu platform, exposing tools to manage teams, subthreads, and generation requests using a standardized MCP interface.

In the era of rapidly evolving AI applications, the need for systems that can combine static domain knowledge with real-time web information has never been greater. Traditional retrieval-augmented generation (RAG) models often rely on pre-indexed data, limiting their responsiveness to new developments. The MCP-RAG Server bridges this gap by integrating semantic vector search (via Qdrant) with real-time web search capabilities (via Scrapeless), offering a production-ready foundation for intelligent question answering systems. Whether you're an enterprise building internal knowledge agents or a developer experimenting with LLM integration, this guide will walk you through the complete setup and usage of MCP-RAGensuring you're equipped to deploy a modern, responsive AI knowledge system.

A Model Context Protocol (MCP) server that provides AI-powered visual analysis capabilities for Claude and other MCP-compatible AI assistants.

A Model Context Protocol (MCP) server that enables AI assistants to interact with IDA Pro for reverse engineering and binary analysis tasks.

A powerful MCP server that supercharges Claude with documentation search capabilities

MCP (Model Context Protocol) para generar documentacin automtica y detallada de proyectos directamente con IA, incluyendo anlisis a nivel de cdigo.

Model Context Protocol Server for Dify AI. This server enables LLMs to interact with Dify AI's chat completion capabilities through a standardized protocol.

This repository contains a growing collection of practical, hands-on testing guides for identifying and understanding vulnerabilities in Large Language Models (LLMs), AI systems, and agent frameworks.

This project demonstrates the use of MCP sampling with FastAPI and OpenAI.

Interactive visualizer for Anthropic's Memory MCP knowledge graphs. Instantly explore, debug, and analyze entities, relations, and observations from memory.json files generated by the Knowledge Graph Memory Server.

This project demonstrates a fully local Model Context Protocol (MCP) client using:

(LLM)(MCP)(RAG)Agent

An MCP (Model Context Protocol) server that provides AI-powered code reviews without storing or logging any source code.

Chain of Draft Server is a powerful AI-driven tool that helps developers make better decisions through systematic, iterative refinement of thoughts and designs. It integrates seamlessly with popular AI agents and provides a structured approach to reasoning, API design, architecture decisions, code reviews, and implementation planning.

MCP PDF Server PDF Model Context Protocol(MCP) .

This repository contains an implementation of a Model Context Protocol (MCP) server built using n8n. The MCP server provides AI systems with access to various external tools and services through a standardized interface.

Hika MCP Server is a Server-Sent Events (SSE) implementation for the Hika AI knowledge search tool. This server component facilitates real-time streaming of AI-generated perspectives and knowledge extensions to enhance the search experience.

Natural language interface for scRNA-Seq analysis with cellrank through MCP.

A Model Context Protocol server that allows LLMs to configure the TerraAPI dashboard.

An MCP server that integrates with a self hosted Ollama container and returns information related to VistA patients.

A locally-running Python REPL server that integrates with Claude Desktop through the Model Context Protocol (MCP).

Welcome to the mem0 repository! This project focuses on enhancing memory management for AI agents, providing state-of-the-art solutions in the field. With the introduction of OpenMemory MCP, we offer a local and secure memory management system designed to improve the performance and reliability of AI applications.

A Modular Context Provider (MCP) server for data science projects. This server exposes endpoints to provide guidance, rules, and code examples for ML and data science workflows, as well as general Python project best practices for agent-based systems.

An MCP server for Kubeflow Trainer.