API Development Servidores MCP

Strava

Enables Claude to interact with Strava data, providing access to activities, details, kudos, and laps.

Unimus

Integrates Unimus network configuration management data with large language models (LLMs) via a read-only Model Context Protocol server.

Cloudinary

Exposes Cloudinary Upload & Admin API methods as tools for AI assistants.

Kakao Local

Connects to the Kakao Local API and Kakao Map services.

Fetch

Retrieves web page content and YouTube video transcripts efficiently.

Mcpgen

Generates Model Context Protocol (MCP) servers from OpenAPI or GraphQL specifications, simplifying integration with AI systems.

Dub.co

Enables AI agents to create, update, and manage short links via the Dub.co link shortening service.

FastMCP Dynamic Server

Dynamically loads and registers tools, resources, and prompts for a FastMCP server implementation.

Amazon LP

Provides a Model Context Protocol server for accessing Amazon Leadership Principles and their associated video transcripts.

Orm Discovery

Enables users to query and interact with tools via a command-line interface.

AEM Edge Delivery

Processes mathematical calculations and interprets natural language math queries via a Node.js server.

WorldTime

Provides the current time for a specified location using the WorldTime API and TimezoneDB.

Weather

Provides real-time weather data to AI agents via the Model Control Protocol (MCP).

Feature Request Collection

Connects AI tools to a Supabase database, enabling queries of the feature_suggestions table.

OpenWeatherMap

Integrates OpenWeatherMap API to provide comprehensive weather data and forecasts for AI assistants.

Jina AI Search

Connects AI assistants and applications to Jina AI's advanced search, reading, and knowledge retrieval capabilities via the Model Context Protocol.

Unified Hub

Connects multiple independent Model Context Protocol servers, exposing a unified interface to clients like large language models and applications.

Perplexity AI

Integrates Perplexity AI's API into an MCP server, providing advanced search capabilities.

Servers Prototype

Demonstrates integrating large language model agents with external tools and APIs using the Model Context Protocol.

Build

Automates comprehensive Docker image and container management via an MCP-compliant server.