# mail-muncher

> mail-muncher — craigjmidwinter-mail-muncher. Use this tool when you need to access and manage email archives in a read-only format, solving problems such as email data preservation and organization. It takes IMAP mailbox or Gmail API inputs and outputs byte-faithful .eml files and markdown with YAML frontmatter. Ideal for use cases requiring secure and immutable email storage and retrieval, with capabilities including list_rules, list_messages, search_messages, read_message, and sync.

Canonical page: https://skillsregistry.net/skills/craigjmidwinter-mail-muncher  
JSON: https://api.skillsregistry.net/v1/skills/craigjmidwinter-mail-muncher

## Description

Serves a strictly read-only mail archive over MCP: ordered filter rules pull matching messages from any IMAP mailbox or the Gmail API and write them to disk as byte-faithful .eml plus markdown with YAML frontmatter. Exposes list_rules, list_messages, search_messages, read_message (with full-thread reads) and sync; it never sends, deletes or modifies mail.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/i5mgq3vjfe)
- **Repository:** <https://github.com/craigjmidwinter/mail-muncher>

## 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": "craigjmidwinter-mail-muncher"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/craigjmidwinter-mail-muncher` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/craigjmidwinter-mail-muncher/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