Explora nuestra colección completa de servidores MCP para conectar la IA con tus herramientas favoritas.
Provides comprehensive stock data querying and analysis functionalities via an MCP server leveraging AkShare.
Offers a comprehensive collection of LangGraph implementations, tutorials, and advanced AI workflows.
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 AI models to interact with and monitor JVM-based applications through a standardized Model Context Protocol (MCP) server implementation.
Enables LLMs to accurately interpret mathematical expressions in scientific papers by fetching and processing LaTeX source from arXiv.
Automates Excel file creation, viewing, and modification using LLM capabilities via a C++-based MCP server.
Dynamically defines mcp tools at runtime by scraping Swagger UI and extracting the swagger.json file.
Enables LLMs to interact with on-disk documents through agentic RAG and hybrid search powered by LanceDB.
Enables management of GitHub Projects programmatically through the Model Context Protocol (MCP) interface.
Enables an LLM to perform static analysis of Portable Executable (PE) files for malware triage.
Enables LLMs to perform AI-powered web searches using the Tavily search API.
Empowers LLMs to maintain memory state across interactions using a neural memory system that learns and predicts sequences.
Automate complex Google Workspace tasks and simplify API authorization by integrating with Gemini CLI via a Google Apps Script-based MCP server.
Enables interaction with WooCommerce stores through the WordPress REST API using JSON-RPC 2.0.
Provides a curated list of open-source AI projects that can potentially be used to generate income.
Provides a server to retrieve synchronized transcripts from YouTube videos.
Provides safe access to your iMessage database through the Model Context Protocol (MCP).
Exposes Twilio's APIs to AI assistants and other tools that support the Model Context Protocol (MCP).
Discovers and analyzes websites implementing the llms.txt standard.
Enables large language models to interact with and manage Heroku Platform resources.
Establishes a foundational server setup for FastMCP applications with integrated development workflows.
Facilitates interaction with AI agents, supporting both default and custom agent configurations for multi-turn conversations and task automation.
Integrates Arduino-based robotics with AI using the MCP framework from Claude AI.
Provides an MCP server for accessing stock market data from the Alphavantage API.
Integrates Google Search functionality into Model Context Protocol (MCP) environments utilizing Gemini's built-in search capabilities.
Enables collaborative workflows for Goose agents through a Model Context Protocol (MCP) server and protocol.
Loads and serves multiple OpenAPI specifications, enabling LLM-powered IDE integrations for API development.
Enables AI agents to analyze job performance, identify bottlenecks, and provide intelligent insights from Apache Spark History Server data.
Enables AI assistants to control robots via ROS 2 topics using the Model Context Protocol.
Enhance Large Language Models' capabilities in generating and validating SPARQL queries for specific knowledge graph endpoints.
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