# AI tools

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.

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.

The X (Twitter) MCP server is a protocol server for interacting with Twitter through AI tools, supporting functions such as getting tweets, posting tweets, searching on Twitter, and managing followers. It uses Twitter API v2 for secure authentication.

This project is an MCP server integrated with the Market Fiyatı API, providing functions such as querying and comparing the prices of Turkish market products for AI systems like Claude, and supporting URI resource access and data analysis tools.

An MCP server template for building AI assistant tools

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.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It provides a local development guide, a method for connecting with the MCP Inspector, a solution for integrating with the Claude desktop client, and a complete process for deploying to Cloudflare.

MCP Trakt is a server that connects AI with the Trakt.tv API, enabling language models to access real - time entertainment data and personal movie - watching records.

A TypeScript - based MCP server that integrates with the Metabase API, allowing AI assistants to access dashboards, questions, and database resources in Metabase and providing functions such as query execution.

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

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

mcp - client - browser is a TypeScript library that provides MCP (Model Control Protocol) support for browsers, enabling seamless interaction with large language models.

A lightweight MCP server that retrieves relevant documentation content from popular AI libraries such as LangChain, LlamaIndex, and OpenAI by combining web search and content parsing, providing language models with the function of dynamically querying the latest documentation.

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.

An MCP server implemented in TypeScript that provides access and operation support for shadcn/ui components to AI assistants, including obtaining source code, sample code, and installation guides.

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.

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.

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.

The medRxiv MCP Server is a bridge connecting AI assistants with the medRxiv preprint library, enabling the search and access of health science preprints through the Model Context Protocol (MCP).

An MCP (Model Context Protocol) server and client project based on FastMCP and LangChain, including installation dependencies and operation guides.

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.

An MCP server supporting Agent8 SDK development, providing various game development tools and resource search 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.

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

An HTTP Model Context Protocol (MCP) server based on Spring Boot, implemented using Spring AI, supporting OAuth2 authentication and tool invocation capabilities.

This is a startup template for creating a custom MCP server for Puch AI, including job search analysis and image processing tools, supporting secure external connections and authentication.

The MCP server implementation of Foxit PDF API, providing Python and TypeScript versions, exposes more than 35 operations (such as creation, conversion, editing, security, OCR, etc.) of Foxit PDF services as tools available to AI agents.

The Agent skill pack of the SpriteCook AI game asset generation tool, used to guide AI coding assistants to generate pixel art and HD game materials through the MCP tool.

This project is a server based on the MCP protocol, specifically designed to check domain name availability through WHOIS queries and support the integration of domain name checking functionality into tools such as AI assistants.

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.