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MCP外线
模型上下文协议(MCP)服务器,使AI助手可以与大纲文档服务进行交互。
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MCP Outline Server
A Model Context Protocol (MCP) server enabling AI assistants to interact with Outline (https://www.getoutline.com)
Overview
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.
Features
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
Getting Started
Prerequisites
- Python 3.10+
- Outline account with API access
- Outline API key (get this from your Outline account settings)
Installation
# Clone the repository
git clone https://github.com/Vortiago/mcp-outline.git
cd mcp-outline
# Install in development mode
uv pip install -e ".[dev]"
Configuration
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
Running the Server
# 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"
Usage Examples
Search for Documents
Search for documents containing "project planning"
List Collections
Show me all available collections
Read a Document
Get the content of document with ID "docId123"
Create a New Document
Create a new document titled "Research Report" in collection "colId456" with content "# Introduction\n\nThis is a research report..."
Add a Comment
Add a comment to document "docId123" saying "This looks great, but we should add more details to the methodology section."
Move a Document
Move document "docId123" to collection "colId789"
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Development
# Run tests
uv run pytest tests/
# Format code
uv run ruff format .
License
This project is licensed under the MIT License - see the LICENSE file for details.
Acknowledgments
- Built with MCP Python SDK
- Uses Outline API for document management
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Reviews

user_k5xbk3g8
As a devoted user of MCP applications, I can confidently say that the Model Context Protocol servers created by devdanks are a game-changer. The seamless integration and efficient performance have drastically improved my workflow. Highly recommended for anyone looking to enhance their server capabilities. Check it out here: https://mcp.so/server/mcp-server/devdanks.