# Outline MCP Server

> Use this tool when you need to manage and organize documents and collections in Outline wiki using natural language commands, solving problems such as information retrieval and document management. It takes natural language inputs and outputs managed documents and collections, providing an intuitive interface for AI agents. Ideal for use cases where efficient document management and retrieval are crucial, such as knowledge base maintenance and information architecture.

Canonical page: https://skillsregistry.net/skills/lekt9-mcp-outline  
JSON: https://api.skillsregistry.net/v1/skills/lekt9-mcp-outline

## Description

Enables AI agents to manage documents and collections in Outline wiki through natural language commands.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/diqf9g02sz)
- **Repository:** <https://github.com/lekt9/mcp-outline>

## 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": "lekt9-mcp-outline"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lekt9-mcp-outline` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lekt9-mcp-outline/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