# Notmuch Sendmail

> Use this tool when you need to streamline email management and composition tasks with AI assistance. Notmuch Sendmail integrates email searching, viewing, and composition capabilities with sendmail functionality, allowing for efficient HTML email creation with Markdown and LaTeX support. It is ideal for users seeking to leverage AI for enhanced email workflows while maintaining control over their local email data.

Canonical page: https://skillsregistry.net/skills/runekaagaard-notmuch-sendmail  
JSON: https://api.skillsregistry.net/v1/skills/runekaagaard-notmuch-sendmail

## Description

This MCP server implementation, developed by an unnamed author, integrates Notmuch email management with sendmail functionality to provide AI-assisted email composition and sending capabilities. Built in Python using the FastMCP framework, it offers tools for searching email threads, viewing messages, and composing HTML emails with Markdown and LaTeX support. The implementation focuses on enhancing email workflows by leveraging AI to interact with local email databases and send messages. It's particularly useful for users who want to maintain control over their email data while benefiting from AI assistance in email management, composition, and sending tasks.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

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

## 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": "runekaagaard-notmuch-sendmail"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/runekaagaard-notmuch-sendmail` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/runekaagaard-notmuch-sendmail/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
