rag-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@rag-mcpwhat are the treatment options for autonomic dysreflexia?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
$ rag-mcp
MCP server for Fathom Works RAG — exposes the self-hosted knowledge base as tools any MCP-capable LLM can call.
Query documents, manage libraries, and ingest local files or URLs without opening the web UI.
[ what it does ]
Tool | Who can call it | Description |
| any user | Semantic + BM25 search across one or more libraries; returns LLM answer with citations |
| any user | List libraries and their document counts |
| any user | List documents, optionally filtered by library or title |
| admin | Ingest a local file (PDF, TXT, DOC, DOCX) into a library |
| admin | Ingest a web URL into a library |
| admin | Check ingestion job progress |
| admin | Remove a document and all its vectors |
Related MCP server: Open WebUI Knowledge Base MCP Server
[ quick start ]
Option A — run with Python (no Docker)
git clone https://github.com/Jemplayer82/rag-mcp.git
cd rag-mcp
pip install -r requirements.txt
cp .env.example .env # fill in RAG_BASE_URL + credentials
python mcp_server.py # starts the stdio MCP serverOption B — run with Docker
docker pull ghcr.io/jemplayer82/rag-mcp:latestNo config file needed — pass environment variables directly at runtime (see Claude config below).
[ connect to Claude ]
Claude Desktop (claude_desktop_config.json)
Docker (recommended — zero local setup):
{
"mcpServers": {
"rag": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "RAG_BASE_URL=http://YOUR_RAG_HOST:8000",
"-e", "RAG_USERNAME=admin",
"-e", "RAG_PASSWORD=yourpassword",
"ghcr.io/jemplayer82/rag-mcp:latest"
]
}
}
}Python (local install):
{
"mcpServers": {
"rag": {
"command": "python",
"args": ["/path/to/rag-mcp/mcp_server.py"],
"env": {
"RAG_BASE_URL": "http://YOUR_RAG_HOST:8000",
"RAG_USERNAME": "admin",
"RAG_PASSWORD": "yourpassword"
}
}
}
}Claude Code (.claude/mcp.json)
{
"mcpServers": {
"rag": {
"command": "docker",
"args": [
"run", "-i", "--rm",
"-e", "RAG_BASE_URL=http://YOUR_RAG_HOST:8000",
"-e", "RAG_USERNAME=admin",
"-e", "RAG_PASSWORD=yourpassword",
"ghcr.io/jemplayer82/rag-mcp:latest"
]
}
}
}Or via CLI:
claude mcp add rag -- docker run -i --rm \
-e RAG_BASE_URL=http://YOUR_RAG_HOST:8000 \
-e RAG_USERNAME=admin \
-e RAG_PASSWORD=yourpassword \
ghcr.io/jemplayer82/rag-mcp:latest[ auth ]
Method | Variables | Notes |
Username + password |
| Recommended. Token is fetched on first call and refreshed automatically on expiry. |
Static JWT |
| Works but cannot self-refresh. Copy from browser DevTools → Application → Local Storage → |
[ environment variables ]
Variable | Default | Description |
|
| Base URL of the RAG app (no trailing slash) |
| — | Admin or user account username |
| — | Account password |
| — | Pre-generated JWT (alternative to username/password) |
[ using the tools ]
Ask a question (search all libraries):
query("What are the treatment options for autonomic dysreflexia?")Narrow to specific libraries:
query("Jones Act seaman status elements", library_ids=[2, 5])Ingest a local file:
add_file("/Users/me/docs/protocol.pdf", library_id=1, title="Care Protocol 2024")
get_job_status(42) # poll until completeIngest a URL:
add_url("https://example.com/article", title="Article", library_id=1)[ smoke test ]
Test without connecting to Claude Desktop using the MCP Inspector:
RAG_BASE_URL=http://YOUR_HOST:8000 RAG_USERNAME=admin RAG_PASSWORD=yourpass \
npx @modelcontextprotocol/inspector python mcp_server.py[ requirements ]
Python 3.10+ (uses
X | Nonetype annotations) — local machine, not the RAG containerRunning Fathom Works RAG instance (self-hosted or VPS)
[ license ]
Released under the GNU AGPL-3.0.
Part of the Fathom Works RAG ecosystem.
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