Explore our complete collection of MCP servers to connect AI to your favorite tools.
Translates high-level natural language-like commands into specific actions for Arduino-based LED systems via a RESTful API.
Enables AI assistants like Claude to directly interact with Gmail for comprehensive email management and communication using natural language.
Enables programmatic interaction with Memos for creating memos and attaching files via the Model Context Protocol.
Queries all public information across the osu.edu domain and its subdomains.
Enables collaborative workflows through multiple AI agent interactions.
Load images from local paths or remote URLs to enable AI agents to analyze visual content.
Provides a RESTful API and Model Context Protocol (MCP) server for services used by subtype.space.
Exposes relational database operations as MCP tools, enabling LLMs and agents to securely query and manipulate data.
Establishes a foundational server environment using standard I/O for integrating Model Context Protocol functionalities.
Manage AI prompts with collections, variables, execution history, and import/export capabilities.
Access comprehensive Portuguese weather, sea state, fire risk, and seismic data from the IPMA API through a Model Context Protocol server.
Accesses comprehensive weather data from OpenWeatherMap, including current conditions, forecasts, alerts, and historical information.
Facilitates interaction with MCP servers using Streamlit and Retrieval-Augmented Generation (RAG).
Integrates with the Coolify self-hosted deployment platform API to manage servers, applications, and services with advanced batch operations.
Manages Model Context Protocol (MCP) servers by adding/removing them in predefined groups, integrating with tools like Claude and Cursor.
Provides a production-ready server and a comprehensive client for the FastMCP protocol, equipped with essential features for robust application development and deployment.
Provides secure, auditable remote access to a system shell for executing commands and streaming output.
Serves Eldora UI components via the ModelContextProtocol for seamless integration into supported IDEs and AI clients.
Deploy an unauthenticated Model Context Protocol server on Cloudflare Workers, designed for flexible AI agent development.
Manages and summarizes notes through a custom URI scheme and provides tools for note creation within the Model Context Protocol ecosystem.
Serves as a foundational FastAPI application demonstrating integration with the Model Context Protocol for client communication.
Manages Bybit trading operations through a Node.js-based Model Context Protocol server.
Equips autonomous AI agents with a metacognitive oversight layer, preventing reasoning lock-in and improving alignment.
Integrates Aptos blockchain access into AI applications for managing accounts, tokens, and transactions.
Provides a fast and responsive Text User Interface for monitoring and managing Docker containers directly from the terminal, including real-time log streaming and CPU usage.
Establishes a ChromaDB-based local knowledge base system supporting text and PDF documents for vectorized storage and efficient similarity retrieval.
Automates systematic document organization, converts PDFs to Markdown, and enforces a universal project documentation standard.
Empowers AI clients to interact with and control Linux GNOME desktop environments, automating various system and application tasks.
Orchestrates AI agents and their associated tools by defining infrastructure in YAML for unified local deployment.
Enables AI assistants to interact with blockchain data and smart contracts through the MultiBaas platform.
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