What are the runtime requirements?
Python 3.11 or higher is required, along with dependencies listed in `pyproject.toml`.
@tizee
Basic information
A Model Context Protocol server for fetching IETF documents (RFCs) for Large Language Models.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-server-ietf": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"uv",
"run",
"mcp-server-ietf"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
A Model Context Protocol server that provides access to IETF RFC documents for Large Language Models. It downloads and caches the RFC index and documents, enabling LLMs to retrieve specifications through a standardized interface.
Install from source with pip install -e . and start the server using the command mcp-server-ietf. Alternatively, use it with the MCP inspector via npx @modelcontextprotocol/inspector uv run mcp-server-ietf. Tools include list_docs_number (get total RFC count), get_doc (fetch an RFC by number with line-based pagination), and search_rfc_by_keyword (search by keyword in titles).
—
Python 3.11 or higher is required, along with dependencies listed in `pyproject.toml`.
The default cache directory is `~/.cache/ietf-doc-server`.
`LOG_LEVEL` can be set to control logging verbosity (default: `"DEBUG"`).
After starting the server, three tools are exposed: `list_docs_number`, `get_doc`, and `search_rfc_by_keyword`. Example: `get_doc` accepts parameters `number`, `start_line`, and `max_lines`.
MIT License, as stated in the `LICENSE` file.
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