Productivity · Local MCP server

Ragie

Ingest, manage, and retrieve documents for RAG-powered AI applications.

What the MCP Registry states

The entry as published to the official MCP Registry (read 2026-10-04), latest version.

Registry name
com.mcparmory/ragie
Version
1.0.2
Status
Active
Category
productivity
Transport
stdio (local process)
Package
PyPI, OCI image (Docker)
Published
2026-05-12
Updated
2026-05-12
Publisher
com.mcparmory · 76 servers with pages here
Repository
github.com/mcparmory/registry
Source
Registry API entry

Packages

RegistryPackageVersionTransportEnvironment variables
PyPIruntime: uvxmcparmory-ragie1.0.2stdioNone declared
OCI image (Docker)runtime: dockerghcr.io/mcparmory/ragie:1.0.2—stdioNone declared

How to connect Ragie

Ragie runs locally from a Python package published to PyPI: mcparmory-ragie version 1.0.2. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Python; clients usually start it with uvx (from uv) or after pip install — the usual command is uvx mcparmory-ragie.

Ragie runs locally from a container image in an OCI registry such as Docker Hub or GitHub Container Registry: ghcr.io/mcparmory/ragie:1.0.2. It speaks MCP over stdio, so the client starts it as a program and talks to it through standard input and output. It needs Docker or another OCI container runtime; started with docker run — the usual command is docker run -i --rm ghcr.io/mcparmory/ragie:1.0.2.

In the mcpServers JSON format that many desktop and editor MCP clients read, the entry looks like this (placeholders in angle brackets):

{
  "mcpServers": {
    "ragie": {
      "command": "uvx",
      "args": [
        "mcparmory-ragie"
      ]
    }
  }
}

Derived from the registry entry, not tested here. What the server does, and on what terms, is set by its publisher; check its repository or website before giving it access to your accounts or files. How to add an MCP server to an assistant · Before you connect

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