API Development MCPサーバー

Job URL Analyzer

Analyzes job URLs to extract detailed company information, enriching data through intelligent web crawling and external providers.

Bridge

Integrates Large Language Models with real-world APIs using the Model Context Protocol for standardized AI-API interactions.

My Crypto

Retrieves cryptocurrency information via the CoinMarketCap API and provides it to Claude Desktop.

Python Jira

Enables AI models to interact with Jira through a standardized Model Context Protocol (MCP).

Agentic Modelling

Simulates model context protocol interactions using agentic modelling techniques.

SmartThings

Exposes SmartThings helper tools via a Model Context Protocol server.

Youtube Transcription Server

Transcribes YouTube videos to integrate transcription capabilities into applications.

Portkey Admin

Manages AI configurations, workspaces, and analytics for the Portkey AI platform.

My Tools

Enables AI agents to utilize personal automation tools by providing an MCP server.

ImageGen

Generates images from text descriptions using OpenAI's DALL-E API, integrating with platforms like Claude.

Astro

Exposes Astro content collections via the Model Context Protocol (MCP) to enable AI assistant integration.

AWS Helper

Manages a simple notes system, allowing creation, storage, and summarization of text notes via a Model Context Protocol (MCP) server.

Restaurant Ordering API

Simulates customer orders from a restaurant menu, allowing for real-time status tracking and integration with MCP systems.

Verodat

Integrates Verodat's data and AI capabilities into AI systems via the Model Context Protocol.

Orm Discovery

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

MySQL Node

Provides a foundational Model Context Protocol (MCP) server designed for local MySQL database integration.

Defuddle Fetch

Retrieves and cleans web content, optimizing it for consumption by Large Language Models.

Claude Hacker News Integration

Integrates Claude Desktop with Hacker News, leveraging the Model Context Protocol (MCP) for seamless data interaction.

Feature Request Collection

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

Proyecto TFG

Interconnects Large Language Models (LLMs) with data spaces using the Model Context Protocol (MCP).