# dooor-os-mcp

> Use this tool when you need to integrate AI clients with Dooor OS workspaces, enabling natural language querying and management of various resources. It solves problems related to data source inspection, app deployment, and governance trace reading, providing a seamless interface for MCP-compatible AI clients. The tool accepts natural language inputs and outputs relevant data and management capabilities, ideal for use cases requiring intuitive and automated workspace management.

Canonical page: https://skillsregistry.net/skills/dooor-ai-dooor-os-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dooor-ai-dooor-os-mcp

## Description

Exposes Dooor OS workspace capabilities to MCP-compatible AI clients, enabling natural language querying of data sources, app and deployment inspection, agent and database management, and governance trace reading.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/the5sb77mq)
- **Repository:** <https://github.com/Dooor-AI/dooor-os-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": "dooor-ai-dooor-os-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dooor-ai-dooor-os-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dooor-ai-dooor-os-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