# notmuchproxy

> Use this tool when you need to integrate large language models (LLMs) with email archives, enabling search and retrieval of email threads and messages. It solves problems of email data access and analysis by providing an interface to notmuch archives through an MCP endpoint. This tool is ideal for use cases requiring email data integration with AI models, such as email summarization or automated response generation.

Canonical page: https://skillsregistry.net/skills/igor47-notmuchproxy  
JSON: https://api.skillsregistry.net/v1/skills/igor47-notmuchproxy

## Description

Enables LLMs to search and read email from a notmuch archive, providing tools for searching threads, retrieving messages, and listing tags through an MCP endpoint.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gsr6375prp)
- **Repository:** <https://github.com/igor47/notmuchproxy>

## 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": "igor47-notmuchproxy"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/igor47-notmuchproxy` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/igor47-notmuchproxy/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