Model Context Protocol servers let AI agents reach beyond the codebase. They connect your agent to external APIs, databases, search engines, and services through a standardized protocol, so the agent can actually take action, not just write code.
1084 servers
⚡ Fully automated MCP server + JADX plugin built to communicate with LLM through MCP to analyze Android APKs using LLMs like Claude — uncover vulnerabilities, analyze APK, and reverse engineer effortlessly. Thanks to these wonderful people for their contributions ⭐ ljt270864457 LilNick0101 - Read The Docs is now live: https://jadx-ai-mcp.readthedocs.io/en/latest/ JADX-AI-MCP is a plugin for the JA
GitHub Repo MCP is an open-source MCP server that lets your AI assistants browse GitHub repositories, explore directories, and view file contents. Getting started • Feature overview - 💻 Compatible with Cursor, Windsurf, Claude Desktop, and other MCP clients supporting stdio protocol - 🔎 Browse the contents of any public GitHub repository - 📂 Navigate through repository directories and subdirect
A Model Context Protocol server for interacting with Ledger CLI, a powerful, double-entry accounting system accessible from the command line. This server allows Large Language Models to query and analyze your financial data through the Ledger CLI tool. This MCP server exposes Ledger CLI's functionality through a standardized interface, making it easy for AI assistants to help you with financial re
A Model Context Protocol (MCP) server that enables AI tools to interact with Gradle projects programmatically. It uses the Gradle Tooling API to query project information and execute tasks. Provides tools for: - Inspecting Projects: Retrieve detailed, structured information about a Gradle project, including: - Build structure (root project, subprojects) - Available tasks (in the root project)
This server acts as a bridge, exposing the powerful analysis capabilities of a Cortex instance as tools consumable by Model Context Protocol (MCP) clients, such as large language models like Claude. It allows these clients to leverage Cortex analyzers for threat intelligence tasks. Cortex is a powerful, free, and open-source observable analysis and active response engine. It allows you to analyze
Enabling web apps to provide JavaScript-based tools that can be accessed by AI agents and assistive technologies to create collaborative, human-in-the-loop workflows. > First published August 13, 2025 > > Brandon Walderman <brwalder@microsoft.com> > Leo Lee <leo.lee@microsoft.com> > Andrew Nolan <annolan@microsoft.com> > David Bokan <bokan@google.com> > Khushal Sagar <kh
MCP server to interact with Obsidian via the Local REST API community plugin. The server implements multiple tools to interact with Obsidian: - listfilesinvault: Lists all files and directories in the root directory of your Obsidian vault - listfilesindir: Lists all files and directories in a specific Obsidian directory - getfilecontents: Return the content of a single file in your vault. - search
Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol. Quick demo of Langfuse Prompts MCP in Claude Desktop (unmute for voice-over explanations): This server implements the MCP Prompts specification for prompt discovery and retrieval. - prompts/list: List all available prompts - Optio
Manage MCP servers across 13 AI clients from one CLI. Define a server once. Enable it where you want. Keep unmanaged client entries intact. MCP servers are useful, but managing them across multiple AI clients is repetitive and error-prone: - different config locations - different formats (JSON, JSONC, TOML) - repeated env/header setup - easy to overwrite manual client entries - hard to roll back a
A powerful AI-driven Security Operations Center (SOC) Text2SQL framework based MCP Server (Local and Remote) for converting natural language Prompts to SQL queries dynamically, with integrated security threat analysis and monitoring. - Text2SQL Conversion: Convert natural language queries to optimized SQL - Multiple Interfaces: Support for STDIO, SSE, and REST API - Security Threat Analysis: Built
A Model Context Protocol (MCP) server that interfaces with the AniList API, allowing LLM clients to access and interact with anime, manga, character, staff, and user data from AniList. - Search for anime, manga, characters, staff, and studios - Get detailed information about specific anime, manga, characters, and staff members - Access user profiles and lists - Support for advanced filtering optio
An MCP (Model Context Protocol) server that enables AI platforms to interact with YepCode's infrastructure. Run LLM generated scripts and turn your YepCode processes into powerful tools that AI assistants can use directly. - Seamless AI Integration: Convert YepCode processes into AI-ready tools with zero configuration - Real-time Process Control: Enable direct interaction between AI systems and yo
A system monitoring tool that exposes system metrics via the Model Context Protocol (MCP). This tool allows LLMs to retrieve real-time system information through an MCP-compatible interface. This tool provides the following monitoring capabilities: - CPU Information: Usage percentage, core count, and detailed CPU info - Memory Information: Virtual and swap memory usage - Disk Information: Disk usa
A comprehensive set of PDF manipulation tools built with the Model Context Protocol (MCP) framework. - Display: Render PDF pages as images - Merge: Combine multiple pages into a single long page - Metadata: Extract document metadata - Text: Extract text blocks and detailed text information - Snippets: Create freeform or full-width snippets from PDF pages - Fuse: Combine pages from multiple documen
文颜（Wenyan） 是一款多平台 Markdown 排版与发布工具，支持将 Markdown 一键转换并发布至： - 以及其它内容平台（持续扩展中） 文颜的目标是：让写作者专注内容，而不是排版和平台适配。 文颜目前提供多种形态，覆盖不同使用场景： - macOS App Store 版 - MAC 桌面应用 - 跨平台桌面版 - Windows/Linux - CLI 版本 - 命令行 / CI 自动化发布 - 👉 MCP 版本 - 本项目 - 核心库 - 嵌入 Node / Web 项目 本仓库是 文颜的 MCP Server 版本，基于模型上下文协议（Model Context Protocol），旨在让 AI 助手（如 Claude Desktop）具备自动排版和发布公众号文章的能力。 - 与 AI 深度集成：让 AI 帮你管理公众号的排版和发布 - 支持 SSE 模式
This repository is archived as of August 25, 2025. Going forward, the Azure MCP team is using https://github.com/microsoft/mcp to develop the code and issues formerly in this repository. Please see the following for more context:
An MCP server that connects to OPC UA-enabled industrial systems, allowing AI agents to monitor, analyze, and control operational data in real time. This project is ideal for developers and engineers looking to bridge AI-driven workflows with industrial automation systems. - Read OPC UA Nodes: Retrieve real-time values from industrial devices. - Write to OPC UA Nodes: Control devices by writing va
A small Model Context Protocol (MCP) server built with FastMCP that provides an interface to a NetBox instance. This repository exposes NetBox resources (sites, site-groups, devices, etc.) as MCP tools and runs a streaming HTTP transport so clients can connect and receive streamed responses from the MCP server. - FastMCP: The MCP tool registry and runtime. Tools are defined in app.py and decorated
An MCP server that provides real-time access to Chainlink's decentralized on-chain price feeds, optimized for seamless integration into AI agents and autonomous systems - Query Latest Price: Fetch the latest price for a specified price feed pair (e.g., FIL/ETH) on a given chain (e.g., ethereum), including price, decimals, round ID, and timestamp. - Query Price by Round ID: Retrieve price data for
search golang packages and their docs from pkg.go.dev, provide the infomation to llm as mcp server You can download the compiled binary from the releases page. Or you can install it from source, compile it by yourself: just use your client to request. it servers on stdio - localCache - [x] use a local cache to avoid search every time(From reddit user) - searchPackage - [x] imported by how many pac
Read and write to a Pinecone index. The server implements the ability to read and write to a Pinecone index. - semantic-search: Search for records in the Pinecone index. - read-document: Read a document from the Pinecone index. - list-documents: List all documents in the Pinecone index. - pinecone-stats: Get stats about the Pinecone index, including the number of records, dimensions, and namespace
An MCP server (stdio transport) that wraps Hugging Face's LocalPythonExecutor (from the smolagents framework). It is a custom Python runtime that provides basic isolation/security when running Python code generated by LLMs locally. It does not require Docker or VM. This package allows to expose the Python executor via MCP (Model Context Protocol) as a tool for LLM apps like Claude Desktop, Cursor
A Model Context Protocol (MCP) server for converting Markdown content to interactive mindmaps. Or using uvx: Or using docker safer and easier. Three installation methods have been successfully tested on macOS and Linux. For Windows users experiencing issues with npx for this MCP, consider using the Docker method. Alternatively, if you use Visual Studio Code, the "Markmap" extension offers a potent
arvo-mcp is a Model Context Protocol (MCP) server that connects your AI assistant to Arvo, an AI-powered fitness coach. Access your workout history, personal records, body composition, and training plans directly from Claude Desktop, Cursor, or any MCP-compatible client. Perfect for fitness enthusiasts who want to: - 🏋️ Ask "What's my workout today?" and get your personalized training plan - 📊 T