Explore our complete collection of MCP servers to connect AI to your favorite tools.
Automate code quality analysis, identify improvement opportunities, and coordinate multi-AI agents for software development.
Executes a basic TypeScript program using Bun.
Provides comprehensive Cantonese dictionary lookup and linguistic analysis functionality via an MCP server.
Serves as a MCP Server for interacting with the SondeHub API, designed for MCP experimentation.
Provides HTTP API access for programmatic management of Obsidian vaults and Markdown files.
Provides secure access to SimBrief flight planning data for Model Context Protocol (MCP) clients.
Facilitates OSINT research on Indicators of Compromise (IoCs) by integrating multiple threat intelligence sources for agentic AI models.
Enables developers to create and deploy custom AI tools as an MCP server, integrating with platforms like Claude Desktop.
Manages Clerk user accounts through an MCP server, enabling direct interaction with AI clients for administrative tasks.
Enables Claude to interact with specified directories on a system via a Model Context Protocol (MCP) server.
Centralize, secure, and orchestrate over 100 Model Context Protocol (MCP) servers, enabling AI assistants to access them through a unified multi-tenant gateway.
Facilitates bidirectional conversion between App Store Optimization (ASO) and web SEO data.
Provides a real-time, streamable HTTP and SSE server for querying anime lists via the Jikan API on Cloudflare Workers.
Provides a modular ecosystem of servers designed for AI-driven extensibility and open-source collaboration.
Automates the entire GitHub Pull Request lifecycle, from comprehensive code review and intelligent fixes to status monitoring and final merges.
Provides a suite of utility tools for computer agent ecosystem integration, enabling tasks like meeting data downloads and server status checks.
Enables AI agents to seamlessly read, search, and intelligently modify Google Sheets data, specializing in high-performance cell update functionality.
Monitors home lab infrastructure in real-time with a production-ready dashboard for optimal performance and management.
Manages grocery lists via simple CRUD operations, leveraging a Firebase Firestore backend.
Integrates Tesseract OCR functionality as a Model Context Protocol server for efficient text extraction from images and PDFs.
Verifies and reports the supported Model Context Protocol (MCP) capabilities of connected hosts or clients.
Enables database interaction with Snowflake through a Model Context Protocol (MCP) server, allowing the execution of SQL queries and exposure of data insights and schema context.
Unifies AI development by enabling seamless workflows across multiple models through a single interface.
Integrates Browserbase's headless browser capabilities with large language models (LLMs) via the Model Context Protocol (MCP).
Integrates LightRAG capabilities with AI tools via a unified MCP protocol interface.
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers, enabling AI agents to access custom tools without authentication.
Provides AI agents with simplified, structured access to curated Axiom log queries.
Exposes a user's GitHub starred repositories as structured resources for large language model (LLM) applications.
Provides an interface to the API Ninjas Random Word API, generating random words of specified types.
Enables natural language-driven SSH automation and remote system management via the Model Context Protocol.
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