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.
1046 servers
This project is a Model Context Protocol (MCP) server for interacting with the VRChat API. It allows you to retrieve various information from VRChat using a standardized protocol. The VRChat MCP server provides a way to access VRChat's API endpoints in a structured manner. It supports a wide range of functionalities, including user authentication, retrieving user and friend information, accessing
A Model Context Protocol (MCP) server that provides tools for fetching dependency information from Clojars, the Clojure community's artifact repository for Cline, Roo Code, Cody, Claude Desktop etc. The quickest way to use the Clojars MCP Server is to run it directly with npx: You can also install it globally: To install Clojars Dependency Server for Claude Desktop automatically via Smithery: 1. C
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
A backend service for executing beeper transactions on Binance Smart Chain (BSC). This service provides a set of tools for interacting with the BSC blockchain, including balance checking, balance transfers, token transfers, token swaps in Pancakeswap and beeper reward claims. - Get BNB and token balances - Transfer BNB and tokens - Swap tokens in Pancakeswap - Get token prices - Buy and sell token
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
An MCP (Model Context Protocol) server that enables running Bruno collections. This server allows LLMs to execute API tests using Bruno and get detailed results through a standardized interface. Run Bruno collections using the Bruno CLI Support for environment files Support for environment variables Detailed test results including: Overall success/failure status Test summary (total, passed, failed
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
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
A Model Context Protocol (MCP) server for interacting with the App Store Connect API. This server provides tools for managing apps, beta testers, bundle IDs, devices, app metadata, and capabilities in App Store Connect. The App Store Connect MCP Server is a comprehensive tool that bridges the gap between AI and Apple's App Store Connect ecosystem. Built on the Model Context Protocol (MCP), this se
An MCP (Model Context Protocol) server that enables AI assistants like Claude to check domain availability in real-time. Powered by AgentDomainService.com. The Problem: AI assistants can't help you check if a domain is available. Traditional registrars like GoDaddy and Namecheap block automated access with CAPTCHAs and bot detection. The Solution: AgentDomainService provides a simple API that AI c
The local Dynatrace MCP server allows AI Assistants to interact with the Dynatrace observability platform, bringing real-time observability data directly into your development workflow. If you need help, please contact us via GitHub Issues if you have feature requests, questions, or need help. You can add this MCP server to your MCP Client like VSCode, Claude, Cursor, Amazon Q, Windsurf, ChatGPT,
An MCP server for Timeplus. generatesql to give LLM more knowledge about how to query Timeplus via SQL - Execute SQL queries on your Timeplus cluster. - Input: sql (string): The SQL query to execute. - By default, all Timeplus queries are run with readonly = 1 to ensure they are safe. If you want to run DDL or DML queries, you can set the environment variable TIMEPLUSREADONLY to false. listdatabas
This project implements an independently-developed CipherTrust MCP (Model Context Protocol) server that allows AI Assistants like Claude or Cursor to interact with CipherTrust Manager resources using the ksctl CLI. - Important Notice - Prerequisites - Installation - Configuration - Integration with AI Assistants - Environment Variables - Troubleshooting - Project Structure - Contributing This is a
Transform how you manage and track your work by connecting Claude, Cursor AI, and other AI assistants directly to your Jira projects, issues, and workflows. Get instant project insights, streamline issue management, and enhance your team collaboration. - Ask AI about your projects: "What are the active issues in the DEV project?" - Get issue insights: "Show me details about PROJ-123 including comm
- Requirements - Entity Operations - Telemetry Management - Relations - OTA Packages - Entity Data Query - Quick Start Guide - Installation - Docker Image - Build from Sources - Client Configuration - Binary Configuration - Docker Configuration - Environment Variables - Tool Groups Configuration - Available Tools - Device Tools - Asset Tools - Customer Tools - User Tools - Alarm Tools - OTA Tools
Regulatory compliance for AI-powered development tools — classify AI systems, check obligations, and get article-level citations across 240+ articles and 3 major regulations. Full Documentation · Get API Key · API Reference Gibs MCP Server connects your AI development environment directly to a regulatory compliance knowledge base. Currently covering: Every response includes article-level citations
An MCP server for the Rootly API that integrates seamlessly with MCP-compatible editors like Cursor, Windsurf, and Claude. Resolve production incidents in under a minute without leaving your IDE. - Python 3.12 or higher - uv package manager - Rootly API token with appropriate permissions (see below) The MCP server requires a Rootly API token. Choose the appropriate token type based on your needs:
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
An MCP (Model Context Protocol) server that provides AI models and automation tools with access to TheHive incident response platform. This server acts as a bridge between MCP clients (like AI assistants) and TheHive, allowing them to: - Retrieve and analyze security alerts - Access case information - Promote alerts to cases - Perform incident response operations 1. getthehivealerts - Retrieve a l
This is the MCP server of atest. Please start the MCP server with atest gRPC port. or start in Docker or start in npx You can also set the MCP server mode with the --mode flag. or as stdio mode: You can build the binary with the following command: You can build .dxt package with the following command: You can publish the package with the following command:
A Model Context Protocol server that enables retrieval of transcripts from YouTube videos. This server provides direct access to video captions and subtitles through a simple interface. To install YouTube Transcript Server for Claude Desktop automatically via Smithery: - gettranscript - Extract transcripts from YouTube videos - url (string, required): YouTube video URL, Shorts URL, or video ID - l
日本語版 READMEはこちら Model Context Protocol (MCP) server implementation that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account. 1. pushtextmessage - Push a simple text message to a user via LINE. - userId (string?): The user ID to receive a message. Defaults to DESTINATIONUSERID. Either userId or DESTINATIONUSERID must be set. - message.text (string): The plain text
You can run the MCP Server in a Docker container. This is useful if you want to avoid managing Python environments or dependencies on your local machine. See kestramcpdocker. Paste the following configuration into your MCP settings (e.g., Cursor, Claude, or VS Code): - Replace , , and with your actual credentials. - For OSS installations, you can use KESTRAUSERNAME and KESTRAPASSWORD instead of KE
Dependency intelligence infrastructure for AI assistants and agents working with JVM projects. Traditional upgrade workflow: 1. Google "Spring Boot 2.7 to 3.2 migration guide" (5 minutes) 2. Read 50-page migration docs, cross-reference breaking changes (15 minutes) 3. Check Maven Central for compatible dependency versions (5 minutes) 4. Update pom.xml, compile, fix breaking changes (30 minutes) 5.