Local 3GPP MCP Server
Extracts and serves 3GPP specification PDFs from disk locally, enabling search and retrieval of spec content without external API calls.
README
Local 3GPP MCP Server
A small local Model Context Protocol server that extracts and serves 3GPP specification PDFs from disk. The model remains in your MCP client; this server makes no external API calls at query time.
Requirements and setup
- Python 3.11 or newer
- A local checkout of the curated 3GPP documents
Clone the document repository yourself (the server intentionally does not do this automatically):
git clone https://github.com/emanuelfreitas/3gpp-documentation.git
Create a virtual environment and install the two runtime dependencies:
cd /full/path/to/3gpp-local-agent
python3 -m venv .venv
source .venv/bin/activate
python -m pip install -r requirements.txt
Run
Set SPECS_DIR to the cloned repository's documentation directory. The
default is ./documentation relative to the process working directory.
SPECS_DIR=/full/path/to/3gpp-documentation/documentation python server.py
The initial run extracts every readable PDF and writes .cache/index.json.
Later starts reuse cached text for files whose path, modification time, and size
have not changed. Corrupt, scanned, and empty PDFs are logged and skipped.
Force a complete rebuild with python server.py --rebuild, or call the MCP
refresh_index tool. Optional Streamable HTTP mode is available at
http://127.0.0.1:8000/mcp:
SPECS_DIR=/full/path/to/documentation python server.py --http
You can also set MCP_TRANSPORT=http, MCP_HOST, and MCP_PORT. Stdio is the
default and is appropriate for desktop MCP clients.
Tools
list_specs()returns sorted, human-readable spec IDs.search_specs(query, max_results=5)performs case-insensitive keyword search and returns the first context snippet from each matching spec.get_spec(spec_id, max_chars=8000)returns extracted text, truncated to the requested limit.refresh_index()forces all PDFs to be re-extracted.
Client configuration
For Claude Desktop, add this to claude_desktop_config.json:
{
"mcpServers": {
"3gpp-local": {
"command": "/full/path/to/3gpp-local-agent/.venv/bin/python",
"args": ["/full/path/to/3gpp-local-agent/server.py"],
"env": {
"SPECS_DIR": "/full/path/to/3gpp-documentation/documentation"
}
}
}
}
All paths must be absolute. The configured Python interpreter must be the one
where fastmcp and pypdf are installed—normally the virtual environment shown
above. Cursor uses a near-identical MCP server configuration.
Verify
The self-contained test suite creates a small text PDF and a corrupt PDF in a temporary directory; it does not require the document repository:
python -m unittest -v test_server.py
For a real-data smoke test, start the server with SPECS_DIR pointing at the
curated checkout and confirm the startup log reports a non-zero indexed count.
Future phases
Potential upgrades include local semantic/vector search, live 3GPP or ETSI fetching, and section-aware pagination for very large specs. The v1 tool signatures can remain stable when those capabilities are added.
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