关于
MCP Ingest is a core implementation of the Model Context Protocol (MCP), functioning as an MCP Server for ingesting various data sources such as APIs, SDKs, and schemas into AI models. It provides a structured, hierarchical system for managing and routing SDKs and other protocol information, acting as a central hub that prepares and channels data for AI model consumption by mounting specialized servers for different protocols. This project is currently under active development, and is intended to leverage FastMCP's server composition capabilities to create a modular and extensible ingest system.
主要功能
- Hierarchical structure for managing SDKs
- Configuration management via settings.toml
- Routing logic for protocol information
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- Docker and Docker Compose support for deployment
- Planned support for server composition via FastMCP
使用案例
- Ingesting OpenAPI specifications
- Parsing SDK documentation
- Handling schema definitions
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