RAG Documentation MCP Server

Zhipu Web Search MCP Server is a search engine specifically designed for large models. It integrates four search engines, allowing users to flexibly compare and switch between them. Building upon the web crawling and ranking capabilities of traditional search engines, it enhances intent recognition capabilities, returning results more suitable for large model processing (such as webpage titles, URLs, summaries, site names, site icons, etc.). This helps AI applications achieve "dynamic knowledge acquisition" and "precise scenario adaptation" capabilities.

A Model Context Protocol (MCP) server for image generation and manipulation using fal.ai's Stable Diffusion model.

The Inspector MCP Server bridges the gap between AI coding assistants and production application monitoring, enabling developers to leverage AI for faster debugging and improved application reliability. Built specifically for the PHP ecosystem, this server integrates seamlessly with Inspector.dev to provide AI agents with real-time access to production error data and intelligent analysis.

GitLab API, enabling project management

A comprehensive Model Context Protocol (MCP) server for BigCommerce REST API integration. This server provides AI assistants with the ability to interact with BigCommerce stores through three powerful tools: - Products Management: Get all products with advanced filtering - Customer Management: Retrieve and filter customers with comprehensive search options - Order Management: Access orders with customer-product relationship capabilities

AgentBay is a cloud infrastructure designed for AI agents, providing enterprises, developers, and AI vendors with a one-click configuration tool and execution environment for AI Agent tasks. It leverages Alibaba Cloud's Wuying technology to offer secure and efficient computing experiences.

Add Two Number

Retrieving and analyzing issues from Sentry.io

An MCP server implementation that provides a tool for dynamic and reflective problem-solving through a structured thinking process.

PyGhidra-MCP - Ghidra Model Context Protocol Server pyghidra-mcp is a command-line Model Context Protocol (MCP) server that brings the full analytical power of Ghidra, a robust software reverse engineering (SRE) suite, into the world of intelligent agents and LLM-based tooling. It bridges Ghidra’s ProgramAPI and FlatProgramAPI to Python using pyghidra and jpype, then exposes that functionality via the Model Context Protocol. MCP is a unified interface that allows language models, development tools (like VS Code), and autonomous agents to access structured context, invoke tooling, and collaborate intelligently. Think of MCP as the bridge between powerful analysis tools and the LLM ecosystem. With pyghidra-mcp, Ghidra becomes an intelligent backend—ready to respond to context-rich queries, automate deep reverse engineering tasks, and integrate into AI-assisted workflows. Yet another Ghidra MCP? Yes, the original ghidra-mcp is fantastic. But pyghidra-mcp takes a different approach: 🐍 No GUI required – Run entirely via CLI for streamlined automation and scripting. 🔁 Designed for automation – Ideal for integrating with LLMs, CI pipelines, and tooling that needs repeatable behavior. ✅ CI/CD friendly – Built with robust unit and integration tests for both client and server sessions. 🚀 Quick startup – Supports fast command-line launching with minimal setup. 📦 Project-wide analysis – Enables concurrent reverse engineering of all binaries in a Ghidra project 🤖 Agent-ready – Built for intelligent agent-driven workflows and large-scale reverse engineering automation. 🔍 Semantic code search – Uses vector embeddings (via ChromaDB) to enable fast, fuzzy lookup across decompiled functions, comments, and symbols—perfect for pseudo-C exploration and agent-driven triage.

Quake MCP Server

Official MiniMax Model Context Protocol (MCP) server that enables interaction with powerful Text to Speech, image generation and video generation APIs.

summarize chat message

Mdtoword is a powerful Markdown to Word conversion tool that transforms Markdown content into professionally formatted Word documents (.docx). It supports all standard Markdown syntax including headers, paragraphs, lists, tables, code blocks, and blockquotes.

A Model Context Protocol (MCP) server that fetches article data from URLs using newspaper3k.

Model Context Protocol server that integrates AgentQL's data extraction capabilities.

MCP Ambari API is a powerful Model Context Protocol (MCP) server that enables seamless Apache Ambari cluster management through natural language commands. Built for DevOps engineers, data engineers, and system administrators who work with Hadoop ecosystems.

The official local MCP server for Kintone.

Secure file operations with configurable access controls

基于Anduin2017 / HowToCook （程序员在家做饭指南）的mcp server，帮你推荐菜谱、规划膳食，解决“今天吃什么“的世纪难题； Based on Anduin2017/HowToCook (Programmer's Guide to Cooking at Home), MCP Server helps you recommend recipes, plan meals, and solve the century old problem of "what to eat today"

A comprehensive Model Context Protocol (MCP) server that provides unified access to Deutsche Bahn (DB) and German mobility APIs. Built with Python, FastAPI, and FastMCP for seamless integration with Claude Desktop and other MCP clients.

GBOX provides environments for AI Agents to operate computer and mobile devices. Mobile Scenario: Your agents can use GBOX to develop/test android apps, or run apps on the Android to complete various tasks(mobile automation). Desktop Scenario: Your agents can use GBOX to operate desktop apps such as browser, terminal, VSCode, etc(desktop automation). MCP: You can also plug GBOX MCP to any Agent you like, such as Cursor, Claude Code. These agents will instantly get the ability to operate computer and mobile devices.

Official Firecrawl MCP Server - Adds powerful web scraping to Cursor, Claude and any other LLM clients.

A Serper MCP Server