Learning & Documentation Servidores MCP

Crash Course

Provides a practical demonstration and guide for using the MCP Python SDK.

Optivise

Enhances AI-assisted Optimizely development by providing curated, contextual information to Large Language Models.

Huuh

Connects AI applications to the huuh.me platform, facilitating collaborative AI and knowledge management.

Python Template

Provides a DevOps-friendly template for building MCP servers, integrating CI/CD, Docker, and Documentation-as-Code.

Markdown RAG

Indexes and semantically searches Markdown documents using vector embeddings and a self-contained vector database.

Drupal Modules

Retrieves Drupal module information from Drupal.org for enhanced development workflows.

FastAPI

Enhances FastAPI documentation searches with an Elasticsearch-indexed server, streamlining AI assistant integration.

Servers

Provides a simple Node.js and TypeScript-based server project with a basic tutorial.

Stock Information Server

Demonstrates a basic MCP server implemented in C# for retrieving Taiwan stock information.

Robostats

Connects FIRST Robotics Competition (FRC) data directly to Claude Desktop or Cursor IDE for AI-powered analysis.

Agent

Transforms documentation into intelligent, searchable knowledge bases using advanced vector embeddings and Retrieval-Augmented Generation.

Claude Think

Enables Claude's explicit reasoning mode within Cursor, displaying its step-by-step thought process.

Model Context Provider

Provides a server for managing model context during development and learning.

Zotero

Integrates with Zotero, enabling AI applications to access and manipulate Zotero libraries.

Demo Local LLM

Demonstrates creating MCP clients and servers in Python and TypeScript, integrating with local LLMs.

Animal of the Day

Explore a new amazing animal daily.