Covid Mcp Server

An MCP server that can extract text from PDFs and images. It supports: * Native text extraction from PDFs (embedded text) * OCR for scanned PDFs and images using Tesseract

This is an enhanced MCP (Model Context Protocol) server that provides xray vulnerability scanning capabilities for ModelScope hosting.

百度地图核心API现已全面兼容MCP协议，是国内首家兼容MCP协议的地图服务商。

A Model Context Protocol server for seamless document format conversion and processing

An MCP service designed for deploying HTML content to EdgeOne Pages and obtaining an accessible public URL.

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.

Browser automation and web scraping

高德地图官方 MCP Server

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Advanced MCP Server for terminal management with GitHub Copilot integration Transform your development experience with intelligent, non-blocking terminals perfectly integrated with GitHub Copilot and VS Code.

基于七牛云产品构建的 Model Context Protocol (MCP) Server，支持用户在 AI 大模型客户端的上下文中通过该 MCP Server 来访问七牛云存储资源、利用 Dora 服务进行图片操作等。 如果有什么需求欢迎在下方评论，您也可以在 github 仓库中提 issue。

BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.

A Model Context Protocol (MCP) server for SearXNG search engine with multi-query parallel search support

Location services, directions, and place details

A powerful Model Context Protocol (MCP) server that provides contextual codebase understanding across multiple codebases and AI assistance for your development workflow.

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.

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

GoWeb3 Data MCP Server provides events and news curated by GoWeb3.fyi

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.

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.

Read-only database access with schema inspection

Repository management, file operations, and GitHub API integration

The QuantConnect MCP Server is a bridge for AIs (such as Claude and OpenAI o3 Pro) to interact with our cloud platform. When equipped with our MCP, the AI can perform tasks on your behalf through our API such as updating projects, writing strategies, backtesting, and deploying strategies to production live-trading. To get your user Id and API token, see Request API Token (https://www.quantconnect.com/docs/v2/cloud-platform/community/profile#09-Request-API-Token). Our MCP server is multi-platform capable. The options are `linux/amd64` for Intel/AMD chips and `linux/arm64` for ARM chips (for example, Apple's M-series chips).

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A MCP (Model Context Protocol) server for fetching HuggingFace daily papers.

A high performance email search MCP for teams & companies. Secure & scalable across multiple email accounts and archives with support for custom filters (e.g., customer facing communications only). This MCP is used to facilitate seamless integration to mxHERO Mail2Cloud Advanced. Mail2Cloud Advanced is a high performance data pipeline to a company's email data. Mail2Cloud Advanced connects to company email services and optimizes the content for fast, scalable and secure access by AI solutions