Explora nuestra colección completa de servidores MCP para conectar la IA con tus herramientas favoritas.
Connects to the Perplexity API, enabling real-time, web-wide search within the Model Context Protocol ecosystem.
Connects Language Servers to Model Context Protocol (MCP) clients, providing advanced code analysis and manipulation capabilities to LLMs.
Enables interaction with native Apple apps like Messages, Notes, and Reminders through the Model Context Protocol.
Enables Claude Desktop to directly implement features, fix bugs, and refactor codebases on your computer, eliminating the need to copy code into chat windows.
Install other MCP servers via Claude by specifying their npm or PyPi package names or local paths.
Connects a Zotero research library with AI assistants to facilitate searching and discussing research papers.
Provides access to real-time and historical stock market data for AI assistants through the Model Context Protocol (MCP).
Enables creating, editing, and manipulating PowerPoint presentations through the Model Context Protocol.
Enables AI assistants to create, read, and manipulate Microsoft Word documents through a standardized interface.
Enables interaction with iOS simulators for tasks like UI inspection, UI interaction, and screenshot capture.
Enables AI assistants to interact with and manage n8n workflows through natural language.
Connect any AI agent to Solana protocols for autonomous interaction with web3 functionalities.
Facilitates communication with MCP servers by providing a LangGraph agent and a CopilotKit-powered frontend.
Enables Large Language Models (LLMs) to interact with external tools through the Model Context Protocol (MCP).
Integrates any LLM supporting function calling capabilities into a desktop application.
Integrate and manage MCP (Model Context Protocol) servers within Neovim, offering a centralized configuration and intuitive UI.
Provides a command-line interface for interacting with Model Context Protocol (MCP) servers using stdio and HTTP transport.
Control Unreal Engine through natural language using the Model Context Protocol (MCP).
Automates interactions with Twitter, including scraping data, sending tweets, and engaging with Grok AI, all without needing the official Twitter API.
Empowers RSS with AI to automatically filter, summarize, and deliver important information, reducing information overload.
Integrates Google Workspace services with AI assistants and applications via the Model Context Protocol.
Enables human-in-the-loop workflows for AI-assisted development tools by providing a simple Model Context Protocol (MCP) server.
Scans Model Context Protocol (MCP) servers for common security vulnerabilities like prompt injections and tool poisoning.
Enables semantic search and workflow automation for medical and scientific papers using AI.
Augment Large Language Models with advanced agent techniques for enhanced reasoning, memory, and intelligent decision-making.
Provides a powerful, self-hostable AI Agent platform for maximum privacy and flexibility, acting as a complete drop-in replacement for OpenAI's Responses APIs with advanced agentic capabilities on consumer-grade hardware.
Provides a modular and extensible Python framework for building and managing Auto-GPT agents.
Provides scalable, fast, and disk-friendly vector search capabilities directly within PostgreSQL.
Unify access to diverse data sources, from files and databases to popular applications, by querying them with SQL and integrating with large language models.
Empowers AI coding tools to generate robust, performant, and modern PostgreSQL code by providing deep, versioned expertise.
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