AI 机器学习 资源

A Model Context Protocol (MCP) server that uses Google's Gemini Vision API to analyze screenshots of file listings/course contents and automatically organize files based on the extracted order.

This project is a demonstration of the MCP (Model Context Protocol) server, which utilizes the Tavily API for web search capabilities. The server is designed to run in a standard input/output (stdio) transport mode.

A Model Context Protocol server that provides access to ExploitDB functionality, developed by Cyreslab.ai. This server enables AI assistants like Claude to query information about security exploits and vulnerabilities, enhancing cybersecurity research and threat intelligence capabilities.

A lightweight server that enables AI assistants to visually analyze Storybook UI components using the Model Context Protocol (MCP).

This repository contains a collection of custom MCP (Model Context Protocol) servers that I've created to enhance AI capabilities with specialized services.

A Model Context Protocol (MCP) server for integrating Google's Gemini models with Claude Code, enabling powerful collaboration between both AI systems.

A Model Context Protocol (MCP) server that provides AI models with access to XRP Ledger data and functionality.

MCP servers + OpenAI agents.

A collection of Model Context Protocol (MCP) servers designed to extend AI assistants with secure and controlled access to external systems and data sources.

A Simple implementation of a command-line tool that provides access to US weather data through a client-server architecture using the Model Context Protocol (MCP) and Google's Gemini AI. Built to practive and understand how MCP works.

The Limitless TCG Model Context Protocol (MCP) server allows you to use LLMs to integrate with the Limitless TCG API to access tournament and team/decklist data.

A Model Context Protocol (MCP) server that provides image generation capabilities using fal.ai's FLUX.1 Pro model.

A Model Context Protocol (MCP) server for integrating AI assistants with Anki, the popular spaced repetition flashcard software.

The project enables you to have a "natural language" conversation with brew. The most important commands are implemented:

A hierarchical network of AI agents using the Model Context Protocol (MCP). The AI Agents in this network can spawn new agents to have them do work, each agent also includes all the tools that the initiating agent has. The network of agents are capable of working through complex tasks, ranging from research, reporting, to coding.

A Model Context Protocol (MCP) server for accessing IMDB data

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This is a minimal, functional example of an agent powered by LangGraph with tools implemented using MCP (Model Context Protocol) servers instead of traditional LangChain tools. It's based on the official LangGraph tutorial, adapted to demonstrate how to integrate MCP servers as tools.

A Node.js implementation for vector search using LanceDB and Ollama's embedding model.

An MCP (Model Context Protocol) server providing DeepL translation capabilities.

A Model Context Protocol server that provides web content fetching capabilities using Playwright for browser automation. This server enables LLMs to retrieve and process JavaScript-rendered content from web pages, converting HTML to markdown for easier consumption.

A curated list of awesome Model Context Protocol (MCP) servers for DevOps.

This is a Model Context Protocol (MCP) server implementation that enables AI assistants to interact with external services and data sources. The server is designed to work with Claude and other MCP-compatible AI assistants.

The Wordware MCP (Model Context Protocol) server allows you to run your Wordware apps locally. This enables you to integrate Wordware's powerful AI flows directly into your local development environment, making it easier to test and develop applications that leverage Wordware's capabilities.

This is a quick and dirty MCP (Model Context Protocol) trial for interacting with containerlab using AI. The example is tailored for claude desktop.

A Python implementation of a Model Context Protocol (MCP) server that provides various tools for AI assistants to perform actions in a secure and controlled environment.

A Model Context Protocol (MCP) server that provides AI assistants with access to Shioaji trading API for the Taiwanese financial market.

Yet another ArXiv MCP server

A versatile chatbot application that uses MCP (Modular Capability Protocol) to interact with multiple service backends.

Home-brewed chat with your data. Or BAT-brewed, rather. Capable of working with .csv files with our custom python runtime environment, without compromises. Additionally, with the ability to work on Kinaxis data via .xml files.

A scalable and modular Model Context Protocol (MCP) server implementation using Python.

Model Context Protocol server that allows LLMs to get accurate and up-to-date prices and news about stock/cryptocurrencies tickers.

Heavily inspired by https://blog.cloudflare.com/remote-model-context-protocol-servers-mcp/ and https://github.com/cloudflare/ai/tree/main/demos/remote-mcp-github-oauth. If you're having issues I actually suggest reviewing the Cloudflare docs vs worrying too much about debugging inside this specific repo.

A Model Context Protocol (MCP) server implementation that enables AI assistants like Claude to interact with DuckDB for powerful data analysis capabilities.

An MCP server for recording audio and transcribing it using OpenAI's Whisper model. Designed to work as a Goose custom extension or standalone MCP server.

A MCP server implementation for generating images with Midjourney.

A Model Context Protocol server that provides knowledge graph management capabilities. This server enables LLMs to create, read, update, and delete entities and relations in a persistent knowledge graph, helping AI assistants maintain memory across conversations. This is a Go implementation of the official TypeScript Memory MCP Server.

Build your own Claude-compatible MCP (Model Context Protocol) server using Python! This project walks through how to deploy your own tools (like a to-do app, database integration, or image editing features) and run them locally with Claude Desktop.

This hackday project provides a Model Context Protocol (MCP) server that acts as a bridge to the Clarifai API and is meant to run on user's machine (so locally). It allows MCP clients (like IDE extensions) to interact with Clarifai, such as image generation and inference, using standard MCP requests without overloading LLM context with heavy binary results.

This project provides a Model Context Protocol (MCP) compliant server that exposes functionalities from the HERE Maps Platform APIs as tools for Language Models.

A Model Context Protocol (MCP) server that enables semantic analysis of chat conversations through vector embeddings and knowledge graphs. This server provides tools for analyzing chat data, performing semantic search, extracting concepts, and analyzing conversation patterns.

A Model Context Protocol (MCP) server implementation in TypeScript that provides various utility tools for LLMs like Claude. This server includes calculator, datetime, and note-taking tools, with an extensible architecture for adding more tools.

This is an MCP (Model Context Protocol) compatible tool that allows MobSF (Mobile Security Framework) to scan APK and IPA files directly via Claude, 5ire, or any MCP-capable client.

This project implements a Model Context Protocol (MCP) server in Python. Its primary function is to provide Large Language Models (LLMs) like Anthropic's Claude with real-time access to the latest documentation for specified Python libraries (Langchain, LlamaIndex, OpenAI) before they generate code suggestions.

This repository contains a Model Control Protocol (MCP) server implementation that allows Claude Desktop to use Deepseek models running in Docker.

API Daum API Model Context Protocol(MCP) . AI Daum .

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

xgmem is a TypeScript-based Model Context Protocol (MCP) server for enabling project-specific and knowledge graph-based memory for Claude, LLM agents, and other tools. It supports storing, retrieving, and managing entities, relations, and observations per project, with a focus on flexibility and cross-project knowledge sharing.

A simple command-line MCP (Model Context Protocol) client for testing MCP servers using Python. It supports chatting with various LLM providers and connecting to multiple MCP servers.

The MariaDB Vector MCP server provides tools that LLM agents can use to interact with a MariaDB database with vector support, providing users with a natural language interface to store and interact with their data. Thanks to the Model Context Protocol (MCP), this server is compatible with any MCP client, including those provided by applications like Claude Desktop and Cursor/Windsurf, as well as LLM Agent frameworks like LangGraph and PydanticAI.

This MCP server allows any large language model (LLM) using the Model Context Protocol (MCP) to access any public API from the Zyla API Hub by providing:

An MCP (Model Context Protocol) server that provides access to Practera's GraphQL API, allowing AI models to query Practera learning data.

A collection of servers implementing the Model Context Protocol.

A Model Context Protocol server that provides browser automation capabilities using Puppeteer and Steel. This server enables LLMs to interact with web pages, take screenshots, and execute JavaScript in a real browser environment.

Claude Code MCP servers Currently, we have collected the most suitable MCP services for Claude AI from Github and various MCP service directories. If you have also developed and built relevant MCP services, you are welcome to submit them to our Github open-source project. Thank you very much. Github Issues

This model context protocol (MCP) server interfaces with the CyberChef Server API. Allowing you to use any LLM/MCP client of your choosing to utilise the tools and resources within CyberChef.