# G3M

> G3M — co-g3m-g3m. Use this tool when you need to build personal connections with business contacts through unique, tangible gestures. G3M enables AI agents to send customized physical gifts and letters, solving problems of impersonal digital communication and strengthening professional relationships. It takes input from AI agents and outputs personalized, physical mail pieces to specified contacts.

Canonical page: https://skillsregistry.net/skills/co-g3m-g3m  
JSON: https://api.skillsregistry.net/v1/skills/co-g3m-g3m

## Description

Send personalized physical gifts and letters to business contacts from AI agents

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/co.g3m%2Fg3m)

## Use it

MCP endpoint published by the skill: `https://api.g3m.co/mcp/`

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": "co-g3m-g3m"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/co-g3m-g3m` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/co-g3m-g3m/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