ZIM RAG MCP Server

MCP (Model Context Protocol) server for reading .zim archives and exposing search/content retrieval tools over stdio.

What This Server Provides

• ZIM file discovery from a configured directory

• Metadata and article listing tools

• Title/url search

• Article content retrieval

• TF-IDF based RAG retrieval over extracted article chunks

Related MCP server: ZIM MCP Server

Project Layout

• server.py - MCP stdio server and tool/resource handlers

• zim_reader.py - binary ZIM parser and article extraction

• rag_engine.py - chunking + TF-IDF retrieval engine

• requirements.txt - Python dependencies

Requirements

• Python 3.10+

• A directory containing one or more .zim files

Install dependencies:

pip install -r requirements.txt

Run Locally

From this folder (MCPs/ZIM_MCP):

python server.py

Environment variable:

• ZIM_DIRECTORY (optional): directory containing .zim files

  • default: current working directory

Example:

set ZIM_DIRECTORY=E:\ZIMs
python server.py

MCP Client Configuration

Use script execution (not -m MCPs.ZIM_MCP), because this package does not define __main__.py.

Example (Windows / Cline-style JSON)

{
  "mcpServers": {
    "ZIM-MCP": {
      "type": "stdio",
      "command": "C:\\Program Files\\Python310\\python.exe",
      "args": [
        "e:\\ZIM-MCP\\MCPs\\ZIM_MCP\\server.py"
      ],
      "env": {
        "ZIM_DIRECTORY": "e:\\ZIMs"
      },
      "timeout": 60,
      "disabled": false,
      "autoApprove": []
    }
  }
}

Tools

• list_zim_files

  • List .zim files discovered in ZIM_DIRECTORY.

• zim_info

  • Return metadata and namespace counts for a specific ZIM file.

• zim_search

  • Search by title/url substring.

• zim_get_article

  • Return article title/url/content.

• zim_rag_retrieve

  • Return top semantic matches from TF-IDF retrieval.

• zim_list_articles

  • Paginated article list with namespace filter.

Resource URIs

• zim://{file}/info

• zim://{file}/article/{url}

• zim://{file}/search/{query}

• zim://{file}/rag/{query}

Notes

• RAG indexing now gracefully handles small/stopword-heavy corpora and returns empty results instead of crashing.

• ZIM cluster parsing supports common compression formats, including Zstandard (via Python zstandard package).

Troubleshooting

• Server starts but no files found

  • Verify ZIM_DIRECTORY points to the folder that contains .zim files.

• No module named ... errors

  • Reinstall deps: pip install -r requirements.txt

• MCP fails to launch from client

  • Use the full script path in args (...\\server.py), not -m MCPs.ZIM_MCP.

Author

Garland Glessner (gglessner@gmail.com)

License

GNU General Public License v3 (GPLv3)