# email-agent-mcp-server

> email-agent-mcp-server — ali-zia3500-email-agent-mcp-server. Use this tool when you need to automate email management and streamline your inbox with AI-powered triage, classification, and drafting of replies. It solves problems of email overload and manual sorting by fetching unread emails, drafting replies, and sending them after user approval. The tool accepts inputs via conversational review from Claude Desktop or MCP clients and outputs classified emails with drafted replies.

Canonical page: https://skillsregistry.net/skills/ali-zia3500-email-agent-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/ali-zia3500-email-agent-mcp-server

## Description

Enables AI-powered Gmail triage: fetches unread emails, classifies them, drafts replies for important ones, and sends only after user approval via conversational review. Exposes tools for checking unread emails and submitting review feedback from Claude Desktop or any MCP client.

## Trust

- **Trust score (0–1):** 0.69
- **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/e7fv1u4o0l)
- **Repository:** <https://github.com/Ali-Zia3500/email-agent-mcp-server>

## 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": "ali-zia3500-email-agent-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ali-zia3500-email-agent-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ali-zia3500-email-agent-mcp-server/pull`

---
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
