Explore our complete collection of MCP servers to connect AI to your favorite tools.
Bridges modern AI assistants with retro computing by exposing the VICE Commodore emulator's powerful debugging capabilities.
Generates production-ready React components using natural language processing and a deep understanding of Reablocks components.
Enables AI clients like Claude Desktop to interact with the Productive.io API for comprehensive project, task, and people management.
Discover and research Model Context Protocol (MCP) servers using the powerful Exa AI search engine, seamlessly integrating with AI assistants.
Integrates weather API services with multiple AI models, demonstrating a complete Model Context Protocol (MCP) client-server architecture.
Provides client access to SQL databases, supporting MySQL and PostgreSQL.
Manages contextual data within DICOM tools, supporting medical imaging and machine learning pipelines.
Manages Linux automation operations with a comprehensive set of 88+ tools accessible via SSH.
Facilitates building and exploring multi-agent AI workflows with ready-to-use projects for various applications.
Enables production-ready, parallel corpus analysis for AI-powered applications through a memory-mapped architecture.
Executes TypeScript code in a secure sandbox environment, enabling calls to other MCP servers through an IPC bridge.
Enables AI assistants to interact with and control smart home devices managed by Home Assistant.
Provides large language models with programmatic access to Trilium Notes instances, enabling AI assistants to manage digital notes.
Performs semantic code search across local projects and Git repositories using AI embeddings with support for OpenAI and Ollama.
Facilitates communication and collaboration between Model Context Protocol (MCP) clients on a local machine.
Empowers AI agents to interact with local code and data through an optimized Python-based Model Context Protocol server.
Exposes API Market's endpoints as Model Context Protocol (MCP) resources, allowing Large Language Models to discover and interact with over 200 APIs defined by OpenAPI specifications.
Enables local Chrome/Chromium tab automation for OpenCode clients by relaying Chrome DevTools Protocol commands without remote debugging.
Demonstrates a basic JSON-RPC client and server implementation using Node.js.
Connects large language models to the Firelinks platform, enabling programmatic access to link management, statistics, and domain control.
Enables connection to and interaction with multiple database systems through a unified interface.
Provides a lightweight, Windows-native tool server for Claude Desktop, offering essential capabilities for shell execution, file management, process control, and system information.
Provides a persistent, semantic memory system for large language models to overcome context limitations across conversations.
Manages to-do lists within the Claude Desktop environment, enabling task organization and prioritization.
Facilitates real-time interaction, debugging, and validation of REST API endpoints directly through LLM assistants.
Analyzes, searches, and debugs log files across various formats using AI directly within AI environments.
Provides a modern C++ implementation of the Model Context Protocol for building AI-powered applications with external tool integration.
Enables Claude AI to interact with Postman collections and environments via an API.
Converts HTML files or content strings to high-fidelity PDF documents using Puppeteer's browser rendering engine.
Provides a Go SDK for building Model Communication Protocol (MCP) tools and servers.
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