# AI tools

A weather data server based on the Model Context Protocol that connects to the OpenWeatherMap API via SSE to provide real-time weather query services for AI clients.

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.

GitHub Repo MCP is an open-source MCP server that allows AI assistants to browse GitHub repositories, explore directory structures, and view file contents. It supports MCP clients such as Cursor.

This project is a tool for running a Model Context Protocol (MCP) server. It encapsulates the functions of the CodeQL query server and supports interaction with CodeQL through structured commands and document search.

An MCP server designed for Pi-hole that exposes Pi-hole functionality as a tool available to AI assistants, supporting multi-Pi-hole configuration and remote management.

MCP Marketplace is a platform that centrally displays and distributes MCP (Model Context Protocol) servers. Users can submit their own MCP servers and install them with one click through Cline. This platform aims to simplify the discovery and deployment process of MCP servers, support submission through GitHub repositories, and provide detailed installation guides.

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

A simple MCP client-server project implemented in Python, supporting direct tool invocation and LLM interaction based on OpenAI.

A Model Context Protocol (MCP) server based on Supabase, which provides AI assistants with the ability to interact with Supabase databases through standardized tools, supporting database operations such as addition, deletion, modification, and querying.

A simple example of an MCP server that provides basic mathematical calculation functions

The MCP server project of DanchoiCloud supports various client configurations

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.

An MCP server project that enables Claude to directly access the documentation of popular libraries such as LangChain, LlamaIndex, and OpenAI, search through the Serper API and parse content using BeautifulSoup to enhance the AI's context understanding ability.

CrewAI Crew is a multi - agent AI system project based on the crewAI framework, aiming to complete complex tasks through configuration and collaboration.

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

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 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.

Steel MCP Server is a server based on the Model Context Protocol. Through the integration of the Puppeteer tool and the Steel browser, it enables LLM models like Claude to perform automated operations such as web page navigation, clicking, and input. It supports both local and cloud running modes and provides web page interaction and screenshot functions.

Firecrawl MCP is a model context server extension for the Zed AI Agent, supporting the configuration of the Firecrawl service through an API key and integration into the Zed assistant mode.

A TypeScript-based MCP server that provides AI image and video generation functions and requires support from the API key of GPT4O Image Generator.

Guide to setting up the SUSE AI demonstration environment. Deploy Rancher Fleet and the SUSE AI stack through a K3s cluster, and integrate the MCP service and Open-WebUI to achieve Kubernetes interaction functions.

An MCP server based on Python that uses Pandoc to provide powerful document conversion functions, supports conversion between multiple formats such as Markdown, DOCX, HTML, PDF, etc., and is suitable for integration with AI agents.

MCP Palette is a desktop application for managing Model Context Protocol server configurations, providing a centralized interface to configure, manage, and deploy MCP servers for large language models.

Implementation of the Feishu MCP Server, providing the ability for large AI models to interact with the Feishu API, mainly supporting bitable operations.

An MCP server implemented in Python, connecting AI agents with Zhitou Data Service's Shanghai-Shenzhen data API, providing real-time A-share market data query functions.

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 simple PostgreSQL MCP server template project designed to help developers quickly build their own MCP servers. The project provides tools, resources, and prompt templates for interacting with the PostgreSQL database, supporting querying database content through natural language.

The Web Browser MCP Server is a Python-based MCP protocol server that provides web browsing and content extraction functions for AI assistants.

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

BrowserTools MCP is a powerful browser monitoring and interaction tool that enables AI applications to capture and analyze browser data through a Chrome extension, supporting multiple audit and debugging functions.