# aws-messaging-mcp

> aws-messaging-mcp — gesparza8138-aws-messaging-mcp. Use this tool when you need to integrate multi-channel messaging capabilities into AI assistants, enabling the sending of emails, SMS/MMS/RCS messages, and file sharing via signed download links. It solves problems related to automated communication and file exchange, providing a unified interface for various messaging channels. With inputs such as message content and recipient information, and outputs including sent message status and download links, it streamlines communication workflows for AI-driven applications.

Canonical page: https://skillsregistry.net/skills/gesparza8138-aws-messaging-mcp  
JSON: https://api.skillsregistry.net/v1/skills/gesparza8138-aws-messaging-mcp

## Description

Enables sending emails via Amazon SES, SMS/MMS/RCS messages through AWS End User Messaging, and sharing files via CloudFront-signed download links, all from AI assistants like Claude Code or Claude Desktop.

## Trust

- **Trust score (0–1):** 0.51
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wt5y9zx4wm)
- **Repository:** <https://github.com/gesparza8138/aws-messaging-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": "gesparza8138-aws-messaging-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gesparza8138-aws-messaging-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gesparza8138-aws-messaging-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