Descubre nuestra colección curada de servidores MCP para developer tools. Explora 20631 servidores y encuentra los MCP perfectos para tus necesidades.
Enables chatting with Chronulus AI forecasting and prediction agents within Claude.
Provides an agentic abstraction layer for building high precision vertical AI agents in Python.
Enables an MCP client to play a game of Minesweeper.
Implements a Model Context Protocol (MCP) server that integrates with Vectorize for advanced vector retrieval and text extraction.
Automates Windows desktop tasks using AutoIt functions and the Model Context Protocol (MCP).
Provides a standardized JSON interface for interacting with Plex Media Server, enabling automation and integration with other tools.
Manage MCP servers within the Claude App ecosystem through a command-line interface.
Executes code and configurations from Large Language Models (LLMs) in secure, isolated Docker containers.
Manages code snippets with AI-powered features using Azure Functions, OpenAI, and Cosmos DB, and exposes them as Model Context Protocol (MCP) tools for clients like GitHub Copilot.
Enables interaction with the Dynatrace observability platform directly within development workflows.
Enhances Claude Code MCP with orchestration, reliability improvements, and self-contained execution patterns.
Provides a secure, unified memory layer that enables AI applications to retain context and preferences across multiple platforms.
Provides a command-line interface for managing Tiger Cloud database services and integrates a Model Context Protocol server to assist AI agents in generating production-ready Postgres code.
Facilitates the creation of Model Context Protocol (MCP) servers in TypeScript with a minimal and composable framework.
Automates WeChat Mini Program developer tooling through a FastMCP server, enabling programmatic control and inspection.
Generates high-quality images from text prompts using the Z-Image-Turbo model, optimized for local execution with both command-line and web interfaces.
Builds a comprehensive graph of your codebase, providing deterministic program understanding for AI-assisted code intelligence instead of embedding-based RAG.
Facilitates remote control and automation of Windows desktops via the Model Context Protocol, empowering AI agents and cross-platform workflows.
Leverages Google's Gemini AI and Claude Code for advanced, multi-model code analysis, reasoning, and debugging of complex systems.
Transforms OpenAPI-described REST endpoints into selectively filtered tools for direct use or integration with AI agents.
Scroll for more results...