Provides a foundational server implementation for the Anthropic Model Context Protocol, enabling debate search and citation functionalities.
This server scaffold offers a robust implementation of the Anthropic Model Context Protocol (MCP), specifically engineered to power advanced debate search and citation features for AI models. It provides a comprehensive environment for local development and testing, alongside a production-ready Docker image and integrated AWS CDK infrastructure for seamless, scalable deployment to ECS Fargate. With out-of-the-box integrations for web tools like SerpAPI, Wikipedia, and arXiv, it serves as a versatile backend for retrieving external information within an MCP ecosystem.
Key Features
01Embedded AWS CDK infrastructure for ECS Fargate deployment
02Local development and testing environment
030 GitHub stars
04Production-ready Docker container for scalable deployment
05Implements Anthropic Model Context Protocol (MCP)
06Out-of-the-box integrations with SerpAPI, Wikipedia, and arXiv
Use Cases
01Powering AI debate search and citation tooling
02Developing and testing custom MCP tools and handlers
03Deploying scalable WebSocket-based MCP endpoints on AWS
