mcp-research

To retrieve API specs and configuration details across multiple GitHub repositories, you can use automated targeted retrieval to identify exact artifacts like endpoints and schemas with minimal data transfer. It enforces one or two fetches and returns a concise summary with relevant findings.

The best way to locate specific MCP documentation quickly is through targeted discovery that identifies the exact artifact, such as an endpoint, schema, or config key. It uses MCP tooling or minimal web fetches to retrieve the precise resource and avoid unnecessary data transfer.

Yes, you can find an OpenAPI path and schema for a service endpoint using MCP tools. You query the MCP tool to retrieve the specific OpenAPI spec for your target endpoint, ensuring precise resource retrieval with minimal fetches across repositories.

Targeted documentation retrieval handles unknown sources by falling back to scoped web search with explicit handling. When MCP tools are unavailable, it uses minimal web fetches to locate the precise resource while enforcing a strict limit of one or two fetches.

The limitation of minimal fetches for MCP documentation research is the strict enforcement of one or two retrieval operations. This requires highly targeted discovery to identify exact artifacts beforehand, otherwise the scoped web search fallback must handle unknown sources within this constraint.