# AI tools

This project studies the MCP server deployment scheme used by the research team, including local development configuration and Kubernetes containerization deployment, and explores how to implement team - shared AI tool services.

MCP image extraction and conversion service, providing local/network image processing and Base64 encoding functions for AI assistants

This is an MCP server that connects to the Coreflux MQTT broker, providing Coreflux and MQTT operation tools for AI assistants such as Claude.

This is a custom AI tool demonstration project based on Cloudflare Workers and the MCP protocol, which can be integrated with AI assistants such as Claude and Cursor to expand AI functions.

A lightweight MCP server that enables intelligent skill matching through the FunctionGemma model, allowing AI agents to acquire dedicated skills on demand and avoiding context window overload.

This project implements an MCP server that provides services for the RAG web browser Actor, enabling AI assistants to perform web searches, scrape the content of specified URLs, and return cleaned content in Markdown format.

Kontxt MCP Server is a codebase context analysis service based on the Gemini model, providing codebase understanding tools for AI clients and supporting multiple transport protocols and context attachment functions.

Awesome - MCP - ZH is a collection of MCP (Model Context Protocol) resources tailored for Chinese users, including basic introductions, usage guides, client, server, and community resources to help users quickly get started with MCP.

This project is an MCP client based on LangChain, used to demonstrate how to call MCP server tools through the LangChain ReAct Agent. It supports the LLMs of Anthropic, OpenAI, and Groq and provides the function of converting MCP tools to LangChain tools.

The RISKEN MCP server is a protocol server that provides RISKEN API integration, supporting automated data acquisition, scanning, and analysis, as well as building AI tool applications.

The Model Context Protocol (MCP) is an open-source protocol that provides a series of reference implementations and community-built servers, enabling large language models (LLMs) to access tools and data sources securely and controllably. The project includes implementations of various functional servers, covering areas such as file systems, databases, search, and API integration, and supports development with TypeScript and Python SDKs.

This project demonstrates how to build a remote MCP server on Cloudflare Workers, including the OAuth login function, and supports connection and use through the MCP Inspector and Claude desktop client.

The OpenAPITools SDK is a multi - AI platform tool management library that provides a unified interface to support the integration and execution of tools for models such as Claude, GPT, and LangChain, and supports both local and API usage modes.

A lightweight screenshot microservice based on FastAPI, compatible with the MCP protocol, supporting full - screen, region, and window screenshots, suitable for AI agents and automation tools.

A Go language debugging service based on the MCP protocol that allows AI assistants to interactively debug Go programs through the Delve debugger.

The OpenAPITools SDK is a Python toolkit that provides developers with a unified interface to manage and execute tools across multiple AI API providers, supporting Anthropic Claude, OpenAI GPT, and the LangChain framework, and two usage modes: local and API.

A cryptocurrency news MCP server based on NewsData.io, providing functions such as real-time news acquisition, keyword search, and news summary generation.

A web content acquisition and processing tool based on the MCP protocol

ALAPI MCP Server is an implementation of the MCP protocol server based on the ALAPI platform, providing over 100 commonly used API services and supporting easy integration into various AI applications through the MCP protocol.

The MCP Prompts Server is a service system for managing and applying AI prompt templates, supporting multi-format conversion, variable replacement, and resource integration. It can work in collaboration with other MCP services.

A Wikipedia search service based on the MCP protocol, providing a structured interface for AI to access Wikipedia content.

The MCP server of pure.md provides a service for converting web page content to Markdown for AI clients

Quick-start Auto MCP is a tool that helps users quickly register the Anthropic Model Context Protocol (MCP) in Claude Desktop and Cursor. It provides functions such as RAG document search, Dify workflow, real-time web search, and supports one-click generation of JSON configuration files.

A Model Context Protocol server for integrating Ollama with MCP clients such as Claude Desktop

An MCP server that connects Shopify store data with AI clients, providing tools for querying product and customer information

This project implements a Telegram message sending service based on the MCP protocol, allowing AI assistants to send Telegram messages through the local service.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, allows connection to the service via the MCP Inspector or Claude Desktop app, and can be finally deployed to the Cloudflare cloud.

A Python template project for creating a VS Code MCP server, following the best practices of production-level MCP servers, providing infrastructure for configuration management, logging, and tool implementation.

A voice synthesis server compatible with VOICEVOX, which realizes integration with tools like Cursor through the MCP protocol

An MCP server that provides audio input/output functions, supporting the interaction between AI assistants like Claude and the computer's audio system, including functions such as recording and playing audio files.