# mailindex-mcp

> mailindex-mcp — alexanderkrauck-mailindex-mcp. Use this tool when you need to efficiently manage and process large volumes of email data, enabling AI agents to perform tasks such as searching, organizing, and responding to messages. It solves problems related to email overload, data extraction, and automation, providing a scalable solution for bulk email operations. With PostgreSQL indexing and OCR-powered attachment text extraction, it offers a powerful interface for inputs like email datasets and outputs like searchable message archives.

Canonical page: https://skillsregistry.net/skills/alexanderkrauck-mailindex-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alexanderkrauck-mailindex-mcp

## Description

A self-hosted mail client MCP server that indexes email in PostgreSQL, enabling AI agents to search, move, mark, delete, and draft messages with bulk operations and attachment text extraction via OCR.

## Trust

- **Trust score (0–1):** 0.17
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v6qea620vu)
- **Repository:** <https://github.com/alexanderkrauck/mailindex-mcp>

## 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": "alexanderkrauck-mailindex-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alexanderkrauck-mailindex-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alexanderkrauck-mailindex-mcp/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