KnowFlow MCP

Example Use Cases

• 1

  Fetch and cite specific lines or passages from a project's local documentation (markdown/txt) to support answers with source metadata.

• 2

  A lightweight, local MCP-compliant knowledge retrieval server to prototype retrieval-augmented workflows before integrating remote knowledge sources.

• 3

  Aggregate search results from multiple knowledge plugins and return structured responses including file reference, source, last modified date, and relevance score.

Description

KnowFlow implements a Model Context Protocol (MCP) server that simulates a simplified Retrieval-Augmented Generation (RAG) workflow by searching local knowledge files and returning structured results with source metadata. It discovers plugins synchronously at startup and coordinates searches across multiple knowledge sources (plain text/markdown and pluggable connectors). The server is designed for easy integration with MCP-compatible LLMs and includes an inspector workflow and example mcp-config for local testing and development.