Descubre nuestra colección curada de servidores MCP para developer tools. Explora 20484 servidores y encuentra los MCP perfectos para tus necesidades.
Provides a foundation for interacting with an MCP server using Python.
Provides file system operations, including reading, writing, creating, moving, searching, and retrieving metadata for files and directories.
Enables AI assistants to interact with and manipulate Godot projects through the Model Context Protocol.
Implements a basic MCP server using Express.js that leverages OpenRouter with GPT-4.0 as the client.
Provides access to housing-related data in Hong Kong via a FastMCP interface.
Provides an MCP server interface to the api.random.org service for generating true random numbers, strings, and UUIDs.
Enables Large Language Models to co-debug Texas Instruments embedded systems by providing real-time variable monitoring, memory manipulation, and analytical capabilities through an OpenOCD proxy architecture.
Facilitates seamless communication and coordination among Claude Code instances operating across diverse project directories.
Provides efficient GDScript code analysis for AI assistants by extracting file structure, symbols, and dependencies.
Provides GenAI agents with a secure mechanism to inspect dataset samples before performing analysis.
Analyzes code for security risks and manages code snapshots using AI, integrating directly with Model Context Protocol-compatible AI tools.
Searches Model Context Protocol documentation using advanced ranking algorithms and provides full document content retrieval.
Unifies the hosting of lightweight command-line interface tools and HTTP services by registering them as Model Context Protocol tools via configuration.
Enhance workflows by enabling custom command management for permission requests and status notifications in projects.
Exposes the Plutocalc Designer REST API as MCP tools for integrating water and wastewater treatment system sizing.
Lock, diagnose, and repair Node.js development environments.
Manages, shares, and reproduces LLM conversations across clients, acting as a natural language optimized notebook for AI interactions.
Provides a memory and code intelligence layer for software agents to enhance AI-assisted development.
Provides AI coding agents with structurally precise code subgraphs from a local-first, graph-based context manager, enabling deep code intelligence.
Exposes five precise Java code navigation tools to AI coding assistants via the MCP protocol within IntelliJ IDEA.
Scroll for more results...