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Showing content from https://github.com/Vortiago/mcp-outline below:

Vortiago/mcp-outline: A Model Context Protocol (MCP) server enabling AI assistants to interact with Outline documentation services.

A Model Context Protocol (MCP) server enabling AI assistants to interact with Outline (https://www.getoutline.com)

This project implements a Model Context Protocol (MCP) server that allows AI assistants (like Claude) to interact with Outline document services, providing a bridge between natural language interactions and Outline's document management capabilities.

Currently implemented:

• Document Search: Search for documents by keywords
• Collection Management: List collections and view document structure
• Document Reading: Read document content, export as markdown
• Comment Management: View and add comments on documents
• Document Creation: Create new documents in collections
• Document Editing: Update document content and move documents
• Backlink Management: View documents that link to a specific document

We recommend running this python MCP server using Docker to avoid having to install dependencies on your machine.

1. Install and run Docker (or Docker Desktop)
2. Build the Docker image docker buildx build -t mcp-outline .
3. In Cursor, go to the "MCP Servers" tab and click "Add Server"

   {
     "mcpServers": {
       "mcp-outline": {
         "command": "docker",
         "args": [
           "run",
           "-i",
           "--rm",
           "--init",
           "-e",
           "DOCKER_CONTAINER=true",
           "-e",
           "OUTLINE_API_KEY",
           "-e",
           "OUTLINE_API_URL",
           "mcp-outline"
         ],
         "env": {
           "OUTLINE_API_KEY": "<YOUR_OUTLINE_API_KEY>",
           "OUTLINE_API_URL": "<YOUR_OUTLINE_API_URL>"
         }
       }
     }
   }

   OUTLINE_API_URL is optional, defaulting to https://app.getoutline.com/api

4. Debug the docker image by using MCP inspector and passing the docker image to it:

   npx @modelcontextprotocol/inspector docker run -i --rm --init -e DOCKER_CONTAINER=true --env-file .env mcp-outline

• Python 3.10+
• Outline account with API access
• Outline API key (get this from your Outline account settings)

# Clone the repository
git clone https://github.com/Vortiago/mcp-outline.git
cd mcp-outline

# Install in development mode
uv pip install -e ".[dev]"

Create a .env file in the project root with the following variables:

# Outline API Configuration
OUTLINE_API_KEY=your_outline_api_key_here

# For cloud-hosted Outline (default)
# OUTLINE_API_URL=https://app.getoutline.com/api

# For self-hosted Outline
# OUTLINE_API_URL=https://your-outline-instance.example.com/api

# Development mode with the MCP Inspector
mcp dev src/mcp_outline/server.py

# Or use the provided script
./start_server.sh

# Install in Claude Desktop (if available)
mcp install src/mcp_outline/server.py --name "Document Outline Assistant"

When running the MCP Inspector, go to Tools > Click on a tool > it appears on the right side so that you can query it.

Search for documents containing "project planning"

Show me all available collections

Get the content of document with ID "docId123"

Create a new document titled "Research Report" in collection "colId456" with content "# Introduction\n\nThis is a research report..."

Add a comment to document "docId123" saying "This looks great, but we should add more details to the methodology section."

Move document "docId123" to collection "colId789"

Contributions are welcome! Please feel free to submit a Pull Request.

# Run tests
uv run pytest tests/

# Format code
uv run ruff format .

This project is licensed under the MIT License - see the LICENSE file for details.

• Built with MCP Python SDK
• Uses Outline API for document management

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