Groundhog Day
Converts an existing OpenAPI specification into a Multi-Agent Conversation Protocol (MCP) server.
About
This project provides an auto-generated Multi-Agent Conversation Protocol (MCP) server designed to expose the Groundhog Day API (specified via OpenAPI) for multi-agent interaction. Built using AG2's MCP builder, it enables seamless communication between conversational AI agents and the underlying API services, abstracting complex API interactions into a standardized protocol.
Key Features
- Hatch-based build and publishing workflow
- Auto-generated from OpenAPI specification
- Supports multiple transport modes (stdio, SSE, streamable-http)
- 0 GitHub stars
- Configurable via environment variables (CONFIG_PATH, CONFIG, SECURITY)
- Integrated development tooling (linting, formatting, static analysis, testing)
Use Cases
- Enabling multi-agent systems to interact with external APIs
- Facilitating conversational AI agent development with structured API access
- Rapidly deploying an MCP interface for existing OpenAPI services
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