Explore our complete collection of MCP servers to connect AI to your favorite tools.
Provides reference implementations for Model Context Protocol (MCP) servers, demonstrating how to give Large Language Models (LLMs) secure, controlled access to tools and data sources.
Enables Cursor to utilize a PostgreSQL database for storing model contexts.
Enables Large Language Models to interact with TapData for database connection inspection, schema retrieval, and CRUD operations.
Provides access to current trending news headlines and detailed content for use by Large Language Models.
Provides access to MySQL databases through a Model Context Protocol (MCP) server.
Deploys a Paper Minecraft server within a Docker container.
Enables AI assistants to query information about internet-connected devices and services using the Hunter API.
Demonstrates potential security attack vectors against Model Control Protocol (MCP) architectures.
Enables querying of live Oracle data from LLMs like Claude Desktop using natural language through a read-only MCP interface.
Develops an MCP client to interact with tools, resources, and prompts exposed by an MCP server using the FastMCP framework.
Transforms a Zuora OpenAPI specification into a Model Context Protocol (MCP) server for streamlined API interaction.
Provides real-time information and trip planning for the Washington, DC Metro system through natural language queries.
Integrates Tesseract OCR functionality as a Model Context Protocol server for efficient text extraction from images and PDFs.
Facilitates confidential AI computing and TEE infrastructure on the Phala Network as a production-ready Model Context Protocol server.
Provides a headless integrated development environment for AI agents.
Facilitates cross-browser tab grouping through a secure server and an optional machine learning microservice for enhanced organization.
Indexes local documents and runs Retrieval Augmented Generation (RAG) search to provide context for AI tools.
Implements a Model Context Protocol (MCP) server, enabling AI assistants to securely interact with external tools and data sources.
Provides a production-ready server for Pokémon Model Context Protocol (MCP) tools, featuring secure deployment, authentication, and comprehensive monitoring.
Automates the entire lifecycle of documentation, including creation, maintenance, quality assessment, and synchronization for software projects.
Generate high-quality images rapidly from text prompts using an intuitive web interface.
Generates semantic class names for CSS using AI, streamlining development, optimizing AI output, and enhancing SSR safety with support for popular frameworks.
Empower AI assistants with deep code analysis capabilities for test generation, security audits, and refactoring suggestions.
Enables AI assistants to access a database of human-curated content recommendations.
Prevents AI coding agents from hallucinating outdated model names by providing instant access to accurate API model IDs, pricing, and specifications for over 46 models across 7 providers.
Enables secure, read-only SSH access for AI agents and other programs to audit servers, run diagnostics, and inspect logs without risking data changes.
Enhances AI coding assistants with persistent memory, real-time context control, and robust anti-hallucination capabilities.
Facilitates real-time communication and structured collaboration for AI agents by providing a central hub for message exchange and conversation management.
Manages time-off requests and team availability through any MCP client.
Converts various content types including PDFs, HTML, URLs, and images into PNG screenshots.
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