# clawmcp

> clawmcp — ageborn-dev-clawmcp. Use this tool when you need to create and manage AI agents from natural language, and deploy them in sandboxed environments. It solves problems of AI agent development and deployment by forging complete OpenClaw agent environments. The tool takes natural language inputs and outputs ready-to-deploy AI agents, with integration capabilities via git.

Canonical page: https://skillsregistry.net/skills/ageborn-dev-clawmcp  
JSON: https://api.skillsregistry.net/v1/skills/ageborn-dev-clawmcp

## Description

MCP server that forges complete OpenClaw agent environments from natural language — create, manage, and export sandboxed AI agents ready to deploy.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/ageborn-dev/clawmcp)

## 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": "ageborn-dev-clawmcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ageborn-dev-clawmcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ageborn-dev-clawmcp/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