# RFC Document Bridge

> Use this tool when you need to access and parse IETF RFC documents for technical research, writing, or standards compliance. The RFC Document Bridge fetches, searches, and extracts specific sections from RFCs, handling HTML and TXT formats, and provides caching for improved performance. It solves problems of manual document navigation and parsing, offering a streamlined interface for retrieving and utilizing technical standards documentation.

Canonical page: https://skillsregistry.net/skills/mjpitz-rfc  
JSON: https://api.skillsregistry.net/v1/skills/mjpitz-rfc

## Description

MCP RFC Server provides a bridge to IETF RFC documents, enabling AI assistants to fetch, parse, and search through technical standards documentation. This TypeScript implementation offers tools for retrieving RFCs by number, searching by keyword, and extracting specific sections from documents, with support for both HTML and TXT format parsing. The server includes caching for better performance and handles the complexities of parsing RFC document structures, making it particularly useful for technical writing, protocol research, and standards compliance verification without requiring users to manually navigate the IETF website.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mjpitz-rfc)
- **Repository:** <https://github.com/mjpitz/mcp-rfc>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mjpitz-rfc"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mjpitz-rfc` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mjpitz-rfc/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt