# AI tools

This project is an MCP server that connects to the OpenAI DALL - E API, designed specifically for AI assistants such as Roo Code, providing comprehensive image generation functions and control options.

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.

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 modular server based on FastAPI and FastMCP, integrating mathematical tools, weather APIs, web searches, audio generation, and external API calls, supporting AI tool calls and resource routing.

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

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.

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.

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.

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 MCP API is a watermark removal service for Sora2 videos based on the model context protocol. It can be quickly integrated into mainstream MCP-compatible tools such as Claude Desktop and OpenAI, and can intelligently remove video watermarks through simple API key authentication.

This is an Android MCP toolkit designed for AI agents, providing tools such as SVG to VectorDrawable conversion, ADB log reading, UI automation, and text length estimation, aiming to efficiently connect the Android development process with AI agents.

TPC Server is a backend service for recording and tracking the thought processes of AI agents or projects. It manages the associated data of thoughts, plans, and changes through structured logging and provides Web interface and API access.

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

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.

This project demonstrates how to deploy a remote MCP server on Cloudflare Workers and implement OAuth login functionality. It supports local development and debugging, can be connected via the MCP Inspector or Claude desktop client, and is finally deployed to Cloudflare for remote access.

Scraper.is MCP is a web scraping tool integration package based on the Model Context Protocol (MCP), which allows AI assistants to scrape web content through the MCP protocol, supporting multiple format outputs and real-time progress updates.

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.

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.

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.

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 through the MCP Inspector and Claude desktop client, and can finally be deployed to the Cloudflare cloud.

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.

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

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.

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.

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

A basic project for developing custom MCP servers, providing a complete architectural pattern, example tools, and development infrastructure to support AI assistants in connecting to external data sources or APIs.

Airtable MCP is a service that connects AI tools with Airtable, supporting querying, creating, updating, and deleting records through natural language. It includes functions such as basic management, table operations, schema operations, record filtering, and data migration.

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.