Explore our complete collection of MCP servers to connect AI to your favorite tools.
Automates server, network device inspection, and IT operations with AI-driven monitoring and anomaly detection.
Facilitates interaction with the Inkdrop note-taking application's local data via the Model Context Protocol.
Enables the creation and navigation of multiple, interconnected thought processes.
Enables LLMs like Claude to interact with and automate web browsers via the Model Context Protocol.
Enables developers to interact with AI systems through speech across multiple channels, functioning as both a command-line tool and a Python library.
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol (MCP).
Enables AI-powered chat interactions by integrating with Model Context Protocol (MCP) servers using Spring AI.
Enables language models to leverage AI-powered web scraping capabilities with enterprise-grade reliability.
Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.
Retrieves cryptocurrency listings and quotes from the CoinmarketCap API.
Provides a fully-typed Anki-Connect API client for streamlined development of JavaScript and TypeScript applications that interface with the Anki spaced repetition flashcard software.
Fetches YouTube video transcripts for integration with Large Language Models via Model Context Protocol.
Provides a comprehensive multimodal AI toolkit, integrating powerful capabilities from Zhipu GLM and Pollinations.AI for advanced media analysis and generation.
Enables debugging webpages using Large Language Models by providing an MCP server for Chrome.
Enables AI assistants to generate interactive charts and visualizations from data using the Model Context Protocol.
Provides safe, read-only access to Kubernetes cluster resources for debugging and inspection via a Model Context Protocol server.
Provides a REST API for managing VMware ESXi/vCenter virtual machines using the Model Control Protocol.
Enhances the developer experience by providing specialized tools for UI5 development within agentic AI workflows.
Integrates Google search capabilities, enhanced by AI-powered deep research, into Model Context Protocol-enabled applications.
Enables natural language interaction with Todoist tasks directly from your IDE.
Enables editing and processing of PDF, Word, Excel, and CSV documents.
Enhances Claude AI with real-time web search and premium content access.
Enables LLM agents to control a local Chrome browser instance programmatically via the Chrome DevTools Protocol (CDP).
Enables Large Language Models to explore and understand GraphQL schemas through specialized tools.
Safely executes command-line tools through the Model Context Protocol (MCP).
Enables interaction with X (formerly Twitter) for retrieving tweets, creating new posts, and replying to existing ones.
Provides a lightweight and secure Python code execution sandbox based on IPython and Docker, designed for AI agents.
Provides practical examples and theoretical concepts for developing LLM-powered agents and multi-agent systems using tools like Google ADK.
Connects LLMs to Databricks, enabling natural language interaction with SQL warehouses and job management.
Exposes JSON-RPC functionality through an OpenRPC Model Context Protocol server.
Scroll for more results...