# mailctx

> mailctx — hannokuegler-mailctx. Use this tool when you need to integrate your email inbox with AI agents, providing a provider-agnostic IMAP solution that converts emails to clean Markdown, reducing token count by 60-98%. It allows AI agents to search, read, and draft emails, with outputs in Markdown format, while ensuring emails are never sent. Ideal for use cases where email data needs to be processed and analyzed by AI agents, such as Claude Desktop, with a simple interface requiring IMAP input and producing Markdown output.

Canonical page: https://skillsregistry.net/skills/hannokuegler-mailctx  
JSON: https://api.skillsregistry.net/v1/skills/hannokuegler-mailctx

## Description

📬 Give your AI agent your inbox. Provider-agnostic IMAP → clean, token-cheap Markdown (60–98% fewer tokens), plus an MCP server so Claude Desktop can search, read and draft your mail. Reads and drafts — never sends.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/hannokuegler/mailctx)

## 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": "hannokuegler-mailctx"
    }
  }
}
```

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