# @cellar-door/mcp-server

> Use this tool when you need to create and verify agent departure records for MCP-compatible AI systems, solving issues with agent tracking and record-keeping. It accepts AI agent data as input and outputs verified departure records, streamlining the process of monitoring and managing agent activity. Ideal for use cases requiring accurate and efficient agent departure tracking in MCP-compatible environments.

Canonical page: https://skillsregistry.net/skills/cellardoorexits-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/cellardoorexits-mcp-server

## Description

Give any MCP-compatible AI the ability to create and verify agent departure records.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qpr3brsp69)
- **Repository:** <https://github.com/CellarDoorExits/mcp-server>

## 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": "cellardoorexits-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cellardoorexits-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cellardoorexits-mcp-server/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