# RFC Editor

> Use this tool when you need to create, edit, or revise IETF RFC TXT documents, solving problems such as drafting and revising standards documents through features like metadata editing and session-based context. It accepts inputs like local files or RFC numbers and outputs modified TXT documents. Use it when working with IETF standards documents to streamline the editing and revision process.

Canonical page: https://skillsregistry.net/skills/gh-daedalus-rfc-editor  
JSON: https://api.skillsregistry.net/v1/skills/gh-daedalus-rfc-editor

## Description

RFC Editor enables manipulation of IETF RFC TXT documents through tools for loading local files, downloading RFCs by number, and creating new documents from scratch. The server supports editing document metadata including titles, abstracts, authors, sections, and copyright notices, with session-based context that persists documents across tool calls. Modifications can be saved back to TXT format, making it useful for drafting and revising standards documents.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

## 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": "gh-daedalus-rfc-editor"
    }
  }
}
```

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