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.
1088 servers
Transform how you work with Bitbucket by connecting Claude, Cursor AI, and other AI assistants directly to your repositories, pull requests, and code. Get instant insights, automate code reviews, and streamline your development workflow. - Ask AI about your code: "What's the latest commit in my main repository?" - Get PR insights: "Show me all open pull requests that need review" - Search your cod
stats-compass-mcp Turn your LLM into a data analyst. Multiple data science tools via MCP. Restart your client and start asking questions about your data. Run stats-compass-mcp list-tools to see all available tools. Start your message with "Use stats compass to..." — this tells the AI to use the Stats Compass tools instead of trying to write code or use other methods. Local mode: Start with "Use st
title: System for Cross-domain Identity Management (SCIM) MCP Server colorFrom: pink colorTo: blue sdk: docker appport: 7860 pinned: false shortdescription: SCIM 2.0 relay for AI agents to manage identities - building-mcp-track-enterprise scim-mcp is a SCIM (System for Cross-domain Identity Management) relay for AI agents. This MCP server enables LLMs to manage enterprise user identities and group
MCP (Model Context Protocol) server for the Barevalue AI podcast editing API. Allows Claude Code and other MCP-compatible tools to submit and manage podcast editing orders programmatically. - Upload audio files directly from your local machine - Submit orders for AI-powered podcast editing - Check order status and download completed files - Manage webhooks for automated notifications - Pre-validat
A Model Context Protocol (MCP) server enabling AI agents to query information about dependencies in a Ruby project's Gemfile. Built with fast-mcp. Install the gem and add to the application's Gemfile by executing: 1. Generate the binstub: 2. Configure your client to execute the binstub. Here are examples that work for Claude and Cursor: Available on RubyDoc The server provides two tools for AI age
This model context protocol (MCP) server interfaces with the CyberChef Server API. Allowing you to use any LLM/MCP client of your choosing to utilise the tools and resources within CyberChef. 🧰 Available Tools and Resources - getcyberchefoperationscategories: resource - gets updated Cyber Chef categories for additional context / selection of the correct operations - getcyberchefoperationbycategor
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)
An MCP server implementation that integrates the Brave Search API, providing comprehensive search capabilities including web search, local business search, image search, video search, news search, and AI-powered summarization. This project supports both STDIO and HTTP transports, with STDIO as the default mode. To follow established MCP conventions, the server now defaults to STDIO. If you would l
A Model Context Protocol (MCP) implementation that enables secure interaction with MySQL databases. This server component facilitates communication between AI applications (hosts/clients) and MySQL databases, making database exploration and analysis safer and more structured through a controlled interface. - List available MySQL tables as resources - Read table contents - Execute SQL queries with
MCP Server for Chronulus Chat with Chronulus AI Forecasting & Prediction Agents in Claude Claude for Desktop is currently available on macOS and Windows. Install Claude for Desktop here Follow the general instructions here to configure the Claude desktop client. You can find your Claude config at one of the following locations: - macOS: ~/Library/Application Support/Claude/claudedesktopconfig.json
A Model Context Protocol (MCP) server for interacting with Twitter. To install Twikit Twitter Search for Claude Desktop automatically via Smithery: Using mcp-client-cli
An MCP Server, CLI tool, and API that makes phone calls on your behalf using VoIP. Just tell Claude what you want to accomplish, and it will call and handle the conversation for you. This is essentially an MCP Server that bridges between OpenAI's Real-Time Voice API and your VoIP connection to call people on your behalf. You: "Can you call Tony's Pizza and order a large pepperoni pizza for deliver
A Model Context Protocol (MCP) server that provides seamless access to the OpenDota API for querying Dota 2 player statistics, match data, and hero information through AI assistants like Claude. - 20+ Tools across 5 categories for comprehensive Dota 2 data access - Natural Language Support - Fuzzy matching for hero names, lane positions, and stat fields - Dual Transport - Supports both stdio (loca
The Quickchat AI MCP (Model Context Protocol) server allows you to let anyone plug in your Quickchat AI Agent into their favourite AI app such as Claude Desktop, Cursor, VS Code, Windsurf and more. 1. Create a Quickchat AI account and start a 7-day trial of any plan. 2. Set up your AI's Knowledge Base, capabilities and settings. 3. Go to the MCP page to activate your MCP. Give it Name, Description
KISS overzealous agents goodbye. Plug & play agent oversight tool. Based on research: In our study agents calling Vibe Check improved success +27% and halved harmful actions -41% Featured on PulseMCP “Most Popular (This Week)” • 5k+ monthly calls on Smithery.ai • research-backed oversight • STDIO + streamable HTTP transport Plug-and-play mentor layer that stops agents from over-engineering and kee
English | 中文 A lightweight JVM monitoring and diagnostic MCP (Multi-Agent Communication Protocol) server implementation based on native JDK tools. Provides AI agents with powerful capabilities to monitor and analyze Java applications without requiring third-party tools like Arthas. - Zero Dependencies: Uses only native JDK tools (jps, jstack, jmap, etc.) - Lightweight: Minimal resource consumption
- Model Context Protocol (MCP) Server for Fast Healthcare Interoperability Resources (FHIR) APIs - Table of Contents - Demo with HAPI FHIR server - Demo with EPIC Sandbox - Core Features - Prerequisites - Installation - Installing using PyPI Package - Installing from Source - Installing using Docker - Running the MCP Server with Docker - Using Docker Compose with HAPI FHIR Server - Integration wit
Clarity in Code, Confidence in Creation Lucidity is a Model Context Protocol (MCP) server designed to enhance the quality of AI-generated code through intelligent, prompt-based analysis. By providing structured guidance to AI coding assistants, Lucidity helps identify and address common quality issues, resulting in cleaner, more maintainable, and more robust code. Before you commit, just ask Lucid
This MCP let's you play chess against any LLM. To use this chess server, add the following configuration to your MCP config: Play a game: Find a position in a PGN for game analysis: The server provides the following tools: getboardvisualization(): Provides the current state of the chessboard as an image. The board orientation automatically flips based on the user's assigned color. getturn(): Indic
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
This package wraps the dAWShund project in two different servers so you can enumerate AWS IAM data, evaluate effective permissions and obtain a high‑level summary without having to remember a handful of separate scripts. The upstream project describes itself as a way to “put a leash on naughty permissions” and provides three main components: sAWSage – enumerates IAM principals and resource policie
MCP Server for the VictoriaMetrics. To install VictoriaMetrics Server for Claude Desktop automatically via Smithery: Description: Write data to the VictoriaMetrics database. Input Parameters: Description: Import Prometheus exposition format data into VictoriaMetrics. Input Parameters: Description: Query time series data over a specific time range. Input Parameters: Description: Query the current v
A Python-based agent that integrates research providers with Claude Code through the Model Context Protocol (MCP). It supports OpenAI (Responses API with web search and code interpreter, or Chat Completions API for broad provider compatibility) and the open-source Open Deep Research stack (based on smolagents). - Python 3.9+ - OpenAI API access (Responses API models, e.g., o4-mini-deep-research-20
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