MCP-Server-IETF
About
A Model Context Protocol server for fetching IETF documents (RFCs) for Large Language Models.
Details
- License
- MIT license
Explore
- Downloads and caches the RFC index and documents.
- Search RFCs by keyword in titles.
- Access RFC documents with line-based pagination.
- Extracts metadata like page numbers from documents.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
MCP-Server-IETFCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
- Python 3.11 or higher
- Dependencies as listed in pyproject.toml
pip install -e .
uv install -e .[dev]
Run inspector with Makefile:
make dev
``bash
- LOG_LEVEL`: Set the logging level (default: "DEBUG")
When connected to the server, the following tools are available:
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"mcp-server-ietf": {
"mcp-server-ietf": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"uv",
"run",
"mcp-server-ietf"
]
}
}
}
}McpServers
{
"mcp-server-ietf": {
"command": "npx",
"args": [
"@modelcontextprotocol/inspector",
"uv",
"run",
"mcp-server-ietf"
]
}
}A Model Context Protocol server for fetching IETF documents (RFCs) for Large Language Models.
Overview
This project implements a Model Context Protocol (MCP) server that provides access to IETF RFC documents. It enables Large Language Models to access RFC specifications through a standardized interface.
Key features:
- Download and cache RFC index and documents
- Search RFCs by keyword in titles
- Access RFC documents with pagination support
- Extract metadata like page numbers from documents
Installation
Requirements
- Python 3.11 or higher - Dependencies as listed inpyproject.toml
Install from source
```bash
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