# weclaw

> weclaw — tomeai-weclaw. Use this tool when you need to unify AI development tools and streamline access for autonomous agents and coding assistants. Weclaw solves integration and security problems by providing a centralized gateway with secure OAuth and dynamic tool discovery. It takes in git repositories and outputs seamless access to AI development tools, ideal for enterprise environments with multiple AI applications.

Canonical page: https://skillsregistry.net/skills/tomeai-weclaw  
JSON: https://api.skillsregistry.net/v1/skills/tomeai-weclaw

## Description

Enterprise-ready MCP Gateway & Registry — unify AI development tools with secure OAuth, dynamic tool discovery, and seamless access for both autonomous agents and coding assistants.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/tomeai/weclaw)

## 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": "tomeai-weclaw"
    }
  }
}
```

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