AI・機械学習リソース

A Model Context Protocol (MCP) server for integrating Amplitude analytics into AI workflows. This server allows AI assistants like Claude to track events, page views, user signups, set user properties, and track revenue in Amplitude.

A Model Context Protocol server that AdsPower browser LocalAPI. This server enables LLMs to interact with start browser, create browser, update browser fingerprint config ...

This MCP Server integrates with AI Tools to manage your time entries in Clockify, so you can register your time entries just sending an prompt to LLM.

A simple Model Context Protocol (MCP) server that provides audio transcription capabilities using MLX Whisper on Apple Silicon Macs.

A Model Context Protocol (MCP) server that allows AI assistants like Claude to read notes from the Bear note-taking app. This implementation connects directly to the Bear SQLite database in a read-only mode, ensuring your notes remain safe and unmodified.

A simple MCP server of knowledge base for RAGFlow.

A Python implementation of the Model Context Protocol (MCP) server that enables Claude AI to seamlessly interact with your Shopify store data. With this integration, Claude can access product catalogs, customer information, and order details, providing more intelligent and contextual assistance for e-commerce tasks.

A Model Context Protocol (MCP) server for Compresto, providing AI assistants with real-time data about Compresto's usage statistics.

A Model Context Protocol (MCP) server that tries to solve condebase indexing (until agents can).

MCP-Use is the open source way to connect any LLM to MCP tools and build custom agents that have tool access, without using closed source or application clients.

A playground for experimenting with Model Context Protocol (MCP).

This is a minimal Cloudflare Worker template for generating images using the workers-mcp package and Cloudflares Workers AI.

Claude MCP server for Macrostrat API

Key Features | How To Use | Connecting Your LLM | Architecture | Development

A Model Context Protocol server for file modifications. This server provides functionality to modify files through Claude or other AI assistants using MCP.

MCP AI

Interact with your product security findings using natural language.

A powerful knowledge graph server for AI agents, built with Neo4j and integrated with Model Context Protocol (MCP).

A comprehensive infrastructure for enabling multi-agent AI swarms powered by specialized Model Context Protocol (MCP) servers. This monorepo contains the full stack of components needed to orchestrate, connect, and empower intelligent agents with various specialized capabilities.

This project is a simple and functional application that uses the MCP (Model Context Protocol) to create a sticky notes system powered by AI. It leverages FastMCP, the mcp[cli] interface, and integrates with Claude Desktop.

This MCP Server provides an LLM interface for interacting with your Cloud Foundry foundation. It was built with the Spring AI MCP project.

This MCP server is used to provide Godot documentation to the Godot RAG model.

A Model Context Protocol (MCP) implementation for secure text embeddings with privacy-preserving features using the Mirror SDK.

A Model Context Protocol (MCP) server implementation for accessing eRegulations API data. This server provides structured, AI-friendly access to eRegulations instances, making it easier for AI models to answer user questions about administrative procedures.

A Model Context Protocol (MCP) server that exposes an Advanced Bayesian Monte Carlo Tree Search (MCTS) engine for AI-assisted analysis and reasoning.

A Model Context Protocol (MCP) server that enables Retrieval Augmented Generation (RAG). It indexes your documents and serves relevant context to Large Language Models via the MCP protocol.

O AverbePorto-MCP um servidor MCP (Model Context Protocol) que permite a integrao com a plataforma AverbePorto, facilitando o acesso aos servios de autenticao e envio de documentos atravs de ferramentas de IA (Inteligncia Artificial).

A simple server implementation for the Model Context Protocol that provides a unified API for multiple AI model providers.

A Model Context Protocol (MCP) server for ComfyUI that provides image generation and prompt optimization services.

A Model Context Protocol (MCP) server that provides current date and time information to AI agents. This server allows AI agents to access the current date and time in various formats and timezones.

A Model Context Protocol (MCP) server that provides translation capabilities using the DeepL API.

MCP Server l mt my ch trin khai giao thc Model Context Protocol (MCP), cho php cc m hnh ngn ng ln (LLMs) tng tc vi cc cng c v dch v bn ngoi mt cch chun ha.

This is a Model Context Protocol (MCP) implementation for interacting with a forecasting website. It enables LLMs to make, update, and delete forecasts, as well as retrieve forecast data and access external information through Perplexity API.

CLIfirst memorybank toolkit for Cursors ModelContextProtocol persistent context, /memory & /note commands, zero UI.

This comprehensive guide walks you through the process of creating both a Model Context Protocol (MCP) server and a client with a graphical user interface using Python. MCP is designed to facilitate communication between language models and tool providers, enabling powerful AI-based applications. By the end of this tutorial, you'll have a functional MCP system with both server and client components that can interact seamlessly.

AI-Powered MCP Gateway for Tool Orchestration

Project NOVA (Networked Orchestration of Virtual Agents) is a comprehensive, self-hosted AI assistant ecosystem that leverages n8n workflows, LLMs, and 25+ specialized Model Context Protocol (MCP) servers to create a powerful, extensible agent system capable of controlling both digital environments and physical devices in your home.

This is a Model Context Protocol (MCP) server that integrates with the Icypeas API to provide work email finding capabilities.

MCP (Model Context Protocol) Claude MCP AI

DeepReGoogle GeminiAI APIDenoCLI

This project implements a memory system for LLM conversations using Redis Graph for long-term memory storage.

A Model Context Protocol (MCP) server that enables AI agents to access FlexPrice invoice and customer data efficiently.

Contrast's MCP server allows you as a developer or security professional to quickly remediate vulnerabilities found by Contrast products. By combining the abilities of a LLM and Coding Agent of your choice and Contrast's unique vulnerability data it is possible to easily remediate vulnerabilities in your code or 3rd party libraries.

The Model Context Provider (MCP) Server is a lightweight and efficient system designed to manage contextual data for AI models. It helps AI applications retrieve relevant context based on user queries, improving the overall intelligence and responsiveness of AI-driven systems.

This project implements a basic TCP server written in Rust using tokio and reqwest to handle Model Creation Protocol (MCP) requests. The server listens for incoming connections and processes JSON-RPC requests to interact with registered models, create sessions, generate responses, and close sessions.

A FastMCP Server which allows an LLM to send MIDI sequences into any software that supports MIDI input.

MCP server for enriching banking data using the Ntropy API. This allows LLM agents that work with financial data to easily call any of the Ntropy API endpoints.

A lightweight, local-first code review tool that uses AI to provide quick feedback on your code changes. Built with TypeScript and powered by Ollama, it analyzes git diffs and offers actionable suggestions to improve your code.

Model Context Protocol (MCP) server implementation that enables Claude Desktop to interact with Google's Gemini 2.5 Pro Experimental AI model.

En MCP-server fr att Claude For Desktop ska kunna "chatta med" och analysera rsredovisningar och organisationsdata hos Bolagsverket. Servern exponerar 3 verktyg, sk MCP Tools.

MCPoke Server is a Model Context Protocol (MCP) server that connects to the Pokmon API, enabling Claude and other AI assistants to access comprehensive Pokmon information. This implementation provides integration with Claude Desktop to enhance conversations about Pokmon.

A Model Context Protocol server for Elasticsearch clusters. Enables LLMs to manage indices and execute queries.

The collection of MCP servers for AIOps.

This document guides on how to use Verodat (https://verodat.io) in a Model Context Protocol server (used for plugging code and data into A.I. systems such as Claude Desktop).