The AI Assistant Integration with Outline Documentation project implements a Model Context Protocol (MCP) server that enables AI assistants, such as Claude, to interact with Outline document services. This integration bridges natural language interactions with Outline's robust document management capabilities, allowing seamless document creation, editing, and management through AI-powered commands.
# 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"
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.
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