MCP (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.
1042 servers
A personal filesystem that works as your life operating system — designed to be read, queried, and operated on by an AI agent. Life OS is a structured set of markdown files that give an AI agent (Goose, Claude, or any LLM with filesystem access via MCP) persistent context about your life — who you are, what you're working on, what you're learning, and what's happened. The AI reads these files at t
A Model Context Protocol (MCP) server for the Discord API (JDA), allowing seamless integration of Discord Bot with MCP-compatible applications like Claude Desktop. Enable your AI assistants to seamlessly interact with Discord. Manage channels, send messages, and retrieve server information effortlessly. Enhance your Discord experience with powerful automation capabilities. Manual Installation M
한국어 | English 1969년 Ken Thompson이 Unix를 만들 때, 그는 출력 대상이 사람이라고 가정했다. 정확히 말하면 터미널 앞에 앉아 있는, 눈이 달린 생물. 반세기가 지났다. 이제 터미널을 읽는 것은 사람만이 아니다. AI 에이전트는 ls -la를 실행하고, 그 출력을 받는다. 그리고 거기서 진짜 작업이 시작된다. 공백을 기준으로 분리하고, 첫 번째 열이 권한이고, 세 번째가 소유자이고, 파일명이 어디서 시작하는지를 토큰을 태워가며 추론한다. 인간의 눈이 0.1초에 처리하는 것을. 이것은 번역이 아니다. 암호화된 적도 없는 메시지를 해독하는 일이다. 세 번의 번역이 일어난다. 첫 번째: 커널이 파일시스템 메타데이터를 stat 구조체로 관리한다. inode, mode, uid, gid,
Every multi-step tool workflow burns an LLM round-trip per step. The agent calls tool A, waits, sends the full context back to the model, gets a decision to call tool B, calls it, sends everything back again. Each round-trip re-transmits 2K–10K tokens on what is essentially plumbing. For a session with 20 two-step workflows, that's 20 wasted model calls, ~100K wasted tokens, and 20–40 seconds of a
Real-time global intelligence across 30+ domains with 109 MCP tools, a live ops-center dashboard, a CLI, and a Qdrant vector store for enterprise-grade semantic search across accumulated intelligence. All data comes from free, public APIs — no paid subscriptions required. Built for AI agents that need world awareness: market conditions, geopolitical risk, military posture, supply chain disruptions
A Model Context Protocol (MCP) server that provides SQL analysis, linting, and dialect conversion capabilities using SQLGlot. The SQL Analyzer MCP server provides tools for analyzing and working with SQL queries. It helps with: - SQL syntax validation and linting - Converting queries between different SQL dialects (e.g., MySQL to PostgreSQL) - Extracting and analyzing table references and dependen
A Model Context Protocol (MCP) server implementation for running k6 load tests. - Simple integration with Model Context Protocol framework - Support for custom test durations and virtual users (VUs) - Easy-to-use API for running k6 load tests - Configurable through environment variables - Real-time test execution output Before you begin, ensure you have the following installed: - Python 3.12 or hi
MCP (Model Context Protocol) server that exposes TestCollab test management functionality to AI assistants like Claude. - Test Case Management - listtestcases - List test cases with filtering, sorting, and pagination - gettestcase - Fetch a single test case with full details (including steps) - createtestcase - Create test cases with steps and custom fields - updatetestcase - Update existing test
A Model Context Protocol (MCP) server that provides browser automation capabilities using Playwright. This server enables LLMs to interact with web pages through structured accessibility snapshots, bypassing the need for screenshots or visually-tuned models. This package provides MCP interface into Playwright. If you are using a coding agent, you might benefit from using the CLI+SKILLS instead. -
- A minimal server/client application implementation utilizing the Model Context Protocol (MCP) and Azure OpenAI. 1. The MCP server is built with FastMCP. 2. Playwright is an an open source, end to end testing framework by Microsoft for testing your modern web applications. 3. The MCP response about tools will be converted to the OpenAI function calling format. 4. The bridge that converts the MCP
A Model Context Protocol server for the QA Sphere test management system. This integration enables Large Language Models (LLMs) to interact directly with QA Sphere test cases, allowing you to discover, summarize, and chat about test cases. In AI-powered IDEs that support MCP, you can reference specific QA Sphere test cases within your development workflow. - Node.js (recent LTS versions) - QA Sphe
A powerful MCP server for Google search that enables parallel searching with multiple keywords simultaneously. - Parallel Searching: Supports searching with multiple keywords on Google simultaneously, improving search efficiency - Browser Optimization: Opens multiple tabs in a single browser instance for efficient parallel searching - Automatic Verification Handling: Intelligently detects CAPTCHA
mcp-name: io.github.wmarceau/hvac-quotes HVAC equipment RFQ (Request for Quote) management via MCP for Claude Desktop. - Submit RFQs to HVAC equipment distributors - Check RFQ status and track responses - Get and compare quotes from multiple distributors - Simulate quotes for testing workflows Add to your claudedesktopconfig.json: Submit a Request for Quote to HVAC distributors. Check the status o
Octomind provides a whole e2e platform for test creation, execution and management including auto-fix. With this MCP server you can use Octomind tools and resources in your local development environment and enable it to create new e2e tests, execute them and more. see https://octomind.dev/ and https://octomind.dev/docs/mcp/install-octomind-mcp for more details. The server uses the following enviro
This is a Model Context Protocol (MCP) server that integrates AgentQL's data extraction capabilities. - extract-web-data - extract structured data from a given 'url', using 'prompt' as a description of actual data and its fields to extract. To use AgentQL MCP Server to extract data from web pages, you need to install it via npm, get an API key from our Dev Portal, and configure it in your favorite
Português | MCP server for fetch web page content using Playwright headless browser. - JavaScript Support: Unlike traditional web scrapers, Fetcher MCP uses Playwright to execute JavaScript, making it capable of handling dynamic web content and modern web applications. - Intelligent Content Extraction: Built-in Readability algorithm automatically extracts the main content from web pages, removing
remotely attestable MCP server This project contains an MCP Server that is remotely attestable by MCP clients. To achieve this, a trusted execution environment is used, which generates a certificate representing the currently-running code of the attestable-mcp-server. The attestable-mcp-server sends this certificate in the TLS handshake to an MCP client before connecting that proves the code it's
A comprehensive security operations platform that integrates multiple security tools into a unified interface. This platform provides a centralized way to run various security scanning and testing tools. - Unified Interface: Single entry point for multiple security tools - Docker Support: Easy deployment using Docker - JSON Output: Consistent JSON output format across all tools - Error Handling: R
⚡ 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
This server provides access to the Shopify Storefront API via MCP, allowing AI assistants to query and interact with your Shopify store data. - Access to product, collection, and inventory data - Cart creation and management - Support for GraphQL queries and mutations - Automatic token handling and validation - Easy integration with MCP-compatible AI assistants 1. Clone this repository 2. Install
A Model Context Protocol (MCP) server for querying NIST National Vulnerability Database (NVD) API endpoints. This MCP server exposes tools to query the NVD/CVE REST API and return formatted text results suitable for LLM consumption via the MCP protocol. It includes automatic query chunking for large date ranges and parallel processing for improved performance. Base API docs: https://nvd.nist.gov/d
A Model Context Protocol (MCP) server that interfaces with the HackMD API, allowing LLM clients to access and interact with HackMD notes, teams, user profiles, and history data. - Get user profile information - Create, read, update, and delete notes - Manage team notes and collaborate with team members - Access reading history - List and manage teams - Dual transport support: Both HTTP and STDIO t
Universal Deployment Tracker for AI Assistants Track deployments across all platforms directly in your AI conversation. No more context-switching. No more dashboard hunting. Watch Full Demo · Live Badge Demo ───────────────────────── Get started in under 30 seconds: That's it! The server is now running and ready to be configured in your AI assistant. ───────────────────────── deploy-mcp supports m
IMPORTANT: This project is deprecated. Spacebridge MCP server is now available over HTTPS. See instructions at https://spacebridge.io A Model Context Protocol (MCP) server that integrates with the SpaceBridge REST API (https://spacebridge.io/docs) to automate issue management across connected issue trackers. SpaceBridge-MCP is a Model Context Protocol (MCP) server designed to integrate AI developm