Explora nuestra colección completa de servidores MCP para conectar la IA con tus herramientas favoritas.
Provides deployment infrastructure and server implementations for Columbia's Model Context Protocol (MCP) servers.
Enables interaction with a filesystem via the Model Context Protocol (MCP).
Provides an API to query information about registered applications using the Model Context Protocol (MCP).
Exposes counter management, arithmetic operations, and IP address validation tools via a Server-Sent Events (SSE) endpoint.
Provides real-time and forecast weather information via the Open-Meteo API.
Provides a structured workflow system to guide AI models and developers through consistent and reliable development processes.
Provides real-time access to Zendesign design system components and guidelines within AI coding assistants.
Provides a Model Context Protocol server generated from the Meraki Dashboard OpenAPI specification.
Provides current time in ISO8601 format with timezone support via a Model Context Protocol (MCP) server.
Provides a lightweight and modular server to fetch, process, and serve real-time weather data from APIs.
Discover and stream internet radio stations through a command-line interface and an AI-integrable MCP server.
Monitors and analyzes the Fetch.ai autonomous agent economy, providing real-time insights into agent interactions, transactions, and network health.
Build Model Context Protocol (MCP) servers with Python, leveraging FastMCP for flexible communication options.
Provides an interface to the API Ninjas Random Word API, generating random words of specified types.
Integrates the API Ninjas Thesaurus API, offering a convenient interface to retrieve synonyms and antonyms for words.
Provides an MCP server for accessing real-time weather data from the API Ninjas Weather API.
Enables natural language interaction for CRUD operations across heterogeneous databases like MySQL and PostgreSQL.
Empower AI systems with persistent memory, semantic understanding, and advanced task execution capabilities.
Enables an intelligent assistant to store, retrieve, and update user preferences and memories through an MCP-driven chat interface.
Connects any OpenAI-compatible LLM API to the Model Context Protocol, enabling robust analysis and evaluation of large language model quality.
Generates professional dance notation from natural-language prompts, validating, repairing, and rendering it to SVG for AI agents.
Enables AI assistants to manage Check Point CloudGuard WAF configurations through its Management GraphQL API using natural language.
Facilitates fast, multi-sheet Excel data retrieval and writing using the Model Context Protocol, optimized for large files.
Connects Vunet vuSmartMaps with AI assistants for natural language querying of observability data.
Provides an MCP server interface to manage RS232 serial port connections and data transfer.
Facilitates interaction between MCP clients and Siemens PLCs by acting as a server for python-snap7.
Captures, decodes, and analyzes digital signals for firmware debugging, reverse engineering, and CI/CD hardware verification.
Provides AI-driven token safety checks and market analysis through a CLI and API, leveraging Gemini AI for multi-chain data retrieval.
Enables natural language interaction to programmatically create, preview, and render professional videos using Remotion.
Provides AI models with powerful mathematical computation capabilities by wrapping the MathJS library.
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