Ragie is a Model Context Protocol (MCP) server: Ingest, manage, and retrieve documents for RAG-powered AI applications. In practice that means any MCP-compatible AI assistant can call Ragie's tools directly — the model decides when to use them in a conversation or agent run.
It runs locally: the Python package mcparmory-ragie (via uvx) speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v1.0.2, with source at mcparmory/registry on GitHub, where it has earned 30 stars.
Ragie is listed under AI & Agents on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain Ragie for mcparmory.com, claim this listing to verify ownership, earn the Verified badge, and keep the details current.
▸PyPI package — mcparmory-ragie · MCP over stdio
▸Docker image — ghcr.io/mcparmory/ragie:1.0.2 · MCP over stdio