Explora nuestra colección completa de servidores MCP para conectar la IA con tus herramientas favoritas.
Provides mathematical and statistical functions to Large Language Models (LLMs) via a simple API.
Provides AI assistants with access to healthcare data and medical information tools.
Executes MySQL database queries and streams the results via Server-Sent Events (SSE).
Automates Windows desktop tasks using AutoIt functions and the Model Context Protocol (MCP).
Provides an all-in-one Model Context Protocol (MCP) server with AI search, RAG, and integrations for services like GitLab, Jira, and Confluence.
Provides programmatic control over system operations including mouse, keyboard, window management, and screen capture functionality.
Enables searching and fetching of articles from the PubMed database.
Integrates SonarQube with AI assistants via the Model Context Protocol, enabling access to code quality metrics and issue data.
Searches for jobs based on user-defined criteria and provides detailed information.
Executes code and configurations from Large Language Models (LLMs) in secure, isolated Docker containers.
Enables easy access to stock data from Xueqiu API through Claude or other AI assistants.
Creates and manages structured project documentation as interconnected Markdown files.
Integrates the Interactive Brokers Web API with the Model Context Protocol, enabling programmatic access to financial market data and trading functionalities.
Provides a flexible server and web application for deploying Hugging Face Hub API and search endpoints.
Provides advanced code analysis and reasoning capabilities by orchestrating Google's Gemini AI and Claude Code for complex debugging and understanding distributed systems.
Provides example implementations for building agentic AI solutions with AWS, utilizing the Model Context Protocol.
Integrates Grafana Loki log data with the Model Context Protocol for AI agent interaction.
Provides AI coding assistants with persistent, cognitive memory of specific codebases, enabling long-term learning and recall across sessions.
Exposes any FHIR Server or API as a Model Context Protocol (MCP) Server to facilitate standardized access to healthcare data.
Offers a comprehensive collection of LangGraph implementations, tutorials, and advanced AI workflows.
Enhance Large Language Models' capabilities in generating and validating SPARQL queries for specific knowledge graph endpoints.
Facilitates the creation of Model Context Protocol (MCP) servers in TypeScript with a minimal and composable framework.
Empower AI agents to build effectively with Sanity using a collection of resources and integrations.
Integrates Model Control Protocol (MCP) capabilities into Spring Boot web applications through a configurable, non-invasive plugin.
Enables LLMs and agentic workflows to seamlessly interact with real-time and historical stock market data through the Model Context Protocol (MCP).
Orchestrates multiple AI models through an 8-step workflow, delivering high-quality, validated code with token optimization and automatic context preservation.
Builds a comprehensive graph of your codebase, providing deterministic program understanding for AI-assisted code intelligence instead of embedding-based RAG.
Provides AI full read-write access to a Logseq knowledge graph, enabling comprehensive traversal, analysis, and content management.
Expose Elementor data, widgets, and page design tools as Model Context Protocol (MCP) tools, enabling AI agents to programmatically create and manipulate WordPress page designs.
Renders web pages into structured, agent-readable representations using headless Chromium for AI agents.
Scroll for more results...