# DOOR Knowledge MCP Server

> Use this tool when you need to quickly find relevant support documentation and knowledge base articles through natural language queries. It solves problems related to information discovery and access by providing fast search capabilities across a vast content repository, including articles and PDFs. Ideal for use when troubleshooting, researching, or seeking guidance on specific topics, with output including relevant search results and direct access to support resources.

Canonical page: https://skillsregistry.net/skills/guillelagoria-door-support-mcp  
JSON: https://api.skillsregistry.net/v1/skills/guillelagoria-door-support-mcp

## Description

Enables users to search and access DOOR support documentation and knowledge base articles through natural language queries. Provides fast search capabilities across support.door.com content including articles and PDFs with pre-built search indexing.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fcct3ag0c1)
- **Repository:** <https://github.com/guillelagoria/door-support-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": "guillelagoria-door-support-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/guillelagoria-door-support-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/guillelagoria-door-support-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