Strands
Indexes Strands Agents documentation into Elasticsearch, serving it via an MCP server for AI platforms and IDEs.
Acerca de
This project provides an MCP (Model Context Protocol) server designed to make Strands Agents documentation easily searchable and accessible. It achieves this by leveraging a Python-based documentation scraper that crawls the Strands Agents documentation and indexes the content into Elasticsearch. The MCP server then exposes this indexed documentation, enabling seamless integration with tools like Amazon Q Developer and the Windsurf IDE, or any custom MCP client, to provide contextual information and enhance development workflows. The entire system is orchestrated using Docker Compose for easy deployment and management, with Kibana provided for data exploration.
Características Principales
- Scrapes Strands Agents documentation from official sources
- Orchestrated with Docker Compose for simplified deployment
- 0 GitHub stars
- Indexes scraped documentation into Elasticsearch for full-text search
- Includes Kibana for exploring and visualizing indexed data
- Provides an MCP server for external access to indexed documentation
Casos de Uso
- Provide searchable Strands Agents documentation for custom MCP clients or applications
- Enhance development experience with Strands Agents documentation within the Windsurf IDE
- Integrate Strands Agents documentation with Amazon Q Developer for enhanced AI assistance
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