# AI tools

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

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.

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.

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 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.

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.

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

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 demonstrates how to deploy a remote MCP server on Cloudflare Workers, implement the OAuth login function, and support connection and use through the MCP Inspector and the Claude desktop client.

An AI agent forwarding solution based on the MCP protocol, realizing unified HTTP interfaces and fast integration of large model services.

This project demonstrates a disk usage query service based on the MCP protocol, allowing Claude AI to obtain real-time disk information of a Mac system through a local server and present it in a structured and user-friendly manner.

FastMCP is a TypeScript-based framework for building MCP servers that support client sessions. It provides simple definitions for tools, resources, and prompts, supports functions such as authentication, session management, returning image and audio content, logging, error handling, SSE communication, etc., and includes CLI tools for testing and debugging.

A production-ready MCP server template for hosting custom AI tools and prompt templates, supporting remote deployment and local operation, helping developers quickly build AI model interaction tools.

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

The Ragie Model Context Protocol server provides knowledge base retrieval capabilities

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.

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.

Build a custom Python MCP server for connecting AI agents and tools to achieve standardized communication and context management.

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 project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement the OAuth login function. It supports local development and debugging, connection and testing through the MCP Inspector, and integration with the Claude desktop application to invoke MCP services. Finally, it provides a complete process for deploying to Cloudflare and connecting remote clients.

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 supporting Agent8 SDK development, providing various game development tools and resource search functions

Jina AI MCP Tools is a Model Context Protocol server integrating Jina AI's basic search API, providing web content extraction, web search, and fact-checking functions, and supporting integration through the Cursor editor.

The Shell MCP Server is a service that provides secure Shell command execution capabilities for AI applications, supporting multi - platform and multi - Shell environments.

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

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

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login, supporting connection and use through the MCP checker and Claude desktop client.

An MCP server that converts Notion pages to Markdown, providing a bridge for AI assistants to efficiently process Notion content.