# AI tools

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.

A server based on the Model Context Protocol that integrates the ntfy push notification service, enabling LLMs and AI agents to send highly customizable notifications to devices.

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

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.

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

The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants

This is an MCP server project based on the Runway API, allowing users to call various AI generation functions of Runway through Claude Desktop, including tools such as video generation, image generation, video editing, and upscaling.

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.

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.

MCP2Lambda is an MCP protocol server that runs AWS Lambda functions as tools for large language models (LLMs). AI models can call Lambda functions to access private resources and AWS services without code modification.

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 demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, can be connected through the MCP inspector or the Claude desktop application, and is finally deployed to the Cloudflare cloud service.

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 via the MCP inspector and Claude desktop client.

This project demonstrates how to create an unauthenticated remote MCP server on Cloudflare Workers and supports connection and use from the AI Playground and Claude desktop client.

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.

This project provides a basic MCP server implementation, including simple examples, Docker containerization demonstrations, and automation scripts, supporting the rapid construction of custom MCP services and integration with systems such as Jira.

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

An MCP protocol server that provides access to the tools on the Toolhouse platform

The SurrealDB MCP Server is a server that provides a standardized interface for AI assistants to interact with the SurrealDB database, supporting data querying and operations.

This project demonstrates how to set up a remote MCP server on Cloudflare Workers and implement OAuth login. It supports local development and debugging, connection testing via the MCP Inspector, integration with the Claude desktop application, and final deployment to the Cloudflare platform.

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.

Supergateway is a tool used to convert MCP servers based on standard input and output into services accessible via SSE or WebSocket, facilitating remote debugging and integration.

A service based on the Model Context Protocol (MCP) that provides search, category browsing, and usage example functions for the Lucide React icon library, supporting AI coding assistants and proxy applications to access icon resources.

The Pyth Network MCP Server provides real-time access to decentralized oracle price feeds, supporting price data for over 1,930 assets, including cryptocurrencies, stocks, foreign exchange, etc. It provides market data services for AI agents through 5 tools, 4 prompts, and 3 resources.

The Ergs MCP Server is a tool based on the model context protocol that provides the ability to interact with the Ergs API, allowing AI assistants to search and browse data sources

Agent Payment MCP is a one - click installer that provides advanced tools for AI programming assistants, including intelligent mathematical calculation, synthetic data generation, text processing, Python isolated execution, network tools, etc., and adopts a pay - as - you - go model.

This project implements an API server that complies with the MCP protocol for searching the PRIDE Archive proteomics database and supports AI models to interact with proteomics datasets through structured function calls.

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

MCP integration for UploadThing, supporting AI assistants to upload files via the MCP protocol.