This project runs Model Context Protocol (MCP) stdio servers through AWS Lambda functions, enabling the invocation of MCP servers in distributed systems.

The MCP Server is an interaction system based on the Model Context Protocol standard, combining IPFS distributed storage and Claude AI processing capabilities to achieve efficient interaction between models, agents, and contextual data.

The Trino MCP Server is a protocol server that provides structured access to the Trino distributed SQL query engine for AI models, supporting multiple transmission methods and API integration.

An MCP server that combines Claude Code and Google Gemini AI to achieve in - depth code analysis through multi - model collaboration. Claude is good at local context operations and CLI workflows, while Gemini uses its ultra - large context window for distributed system debugging and long - trace analysis.