Building a Remote MCP Server on Cloudflare (Without Auth)

GitLab API, enabling project management

Run web automation through an MCP. Connect AI agents to real-world tools and browser automation through our powerful MCP server.

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.

MCP server to provide Figma layout information to AI coding agents like Cursor

MCP Advisor & Installation - Use the right MCP server for your needs

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

天气

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.

One API for Search, Crawling, and Sitemaps

Let AI automatically analyze the site. Not limited to site monitoring, competitive product analysis, automatic keyword mining, n8n integration, etc.

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 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

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

A MCP server to send notification when task finish.

AI image generation using various models

通过高德api获取城市天气信息

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).

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

A lightweight MCP server for Android operating system automation. This server provides tools to interact directly with Android devices, enabling automated testing, app interaction, and device control.

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

Read-only database access with schema inspection

Image-generation,include qwen-image,flux,flux-krea

一个基于模型上下文协议（MCP）的中国节假日和农历信息服务器，为AI助手提供准确的法定节假日、调休安排、中国传统节日、农历转换、二十四节气和八字计算功能。西方节日都是固定公历日期，不需要查询工具。 项目地址：https://github.com/Eis4TY/china-festival-mcp

A Model Context Protocol server that provides time and timezone conversion capabilities. This server enables LLMs to get current time information and perform timezone conversions using IANA timezone names, with automatic system timezone detection.

Web and local search using Brave's Search API

NetForensicMCP is a Model Context Protocol (MCP) server designed to empower Large Language Models (LLMs) with advanced offline network traffic analysis and threat intelligence capabilities. Built on top of Wireshark's tshark, NetForensicMCP provides comprehensive PCAP analysis tools for cybersecurity professionals, threat hunters, and network forensics investigators.