# Email Server

> Use this tool when you need to automate email management tasks, such as sending and receiving emails, to streamline communication workflows and increase productivity. It solves problems like manual email sorting, response delays, and notification overload, by providing a centralized interface for email processing. With inputs like email templates and recipient lists, and outputs like sent emails and response tracking, Email Serve is ideal for use cases like customer support, marketing campaigns, and team collaboration.

Canonical page: https://skillsregistry.net/skills/live-alpic-staging-python-email-mcp-f5c8e0a7-python-email-mcp  
JSON: https://api.skillsregistry.net/v1/skills/live-alpic-staging-python-email-mcp-f5c8e0a7-python-email-mcp

## Description

Still WiP

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** communication
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/live.alpic.staging.python-email-mcp-f5c8e0a7%2Fpython-email-mcp)

## Use it

MCP endpoint published by the skill: `https://python-email-mcp-f5c8e0a7.staging.alpic.live`

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": "live-alpic-staging-python-email-mcp-f5c8e0a7-python-email-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/live-alpic-staging-python-email-mcp-f5c8e0a7-python-email-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/live-alpic-staging-python-email-mcp-f5c8e0a7-python-email-mcp/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