Quip MCP Server

An MCP (Model Context Protocol) server for interacting with Quip documents. This server enables AI assistants like Amazon Q to read, search, and modify Quip documents through a standardized interface.

Features

• Document Operations

  • Read document content
  • Search across documents
  • Create new documents
  • Append content to documents
  • Prepend content to documents
  • Replace document content

• Integration Features

  • MCP protocol support
  • Configurable logging
  • Environment-based configuration
  • Docker support

Installation

From Source

git clone <repository-url>
cd quip-mcp-server
pip install -e .

Development Installation

pip install -e ".[dev]"

Requirements

• Python 3.8 or higher
• Required packages (installed automatically):
  • strands-agents>=1.3.0
  • mcp>=1.12.3
  • python-dotenv>=1.0.0
  • requests>=2.25.0
  • uvicorn>=0.23.1
  • httpx>=0.24.0
  • starlette>=0.27.0

Configuration

1. Copy the example environment file:

cp .env.example .env

1. Configure your environment variables in .env:

# Quip API credentials
QUIP_ACCESS_TOKEN=your_quip_access_token_here
QUIP_BASE_URL=https://platform.quip-amazon.com

# MCP server configuration
MCP_SERVER_PORT=8080
MCP_SERVER_HOST=localhost

# Logging configuration
LOG_LEVEL=INFO  # Options: DEBUG, INFO, WARNING, ERROR, CRITICAL

Usage

Starting the Server

1. Using the console script:

quip-mcp-server

1. Using Python module:

python -m quip_mcp_server

1. Using Docker:

docker-compose up

Available Tools

The server provides the following MCP tools:

Example conversations with Amazon Q:

User: "Can you read my latest meeting notes from Quip?"
Q: Let me search for and read your meeting notes document.
[Uses search_documents followed by read_document]

User: "Create a new Quip document for today's sprint planning"
Q: I'll create a new document with a standard sprint planning template.
[Uses create_document with appropriate title and content]

User: "Add today's action items to my project notes"
Q: I'll append the action items to your project document.
[Uses append_content to add new items]

Using with Amazon Q

1. Add the MCP server to Q CLI:

q mcp add quip http://localhost:8080

1. Use in conversations with Q:

@q Use quip___read_document to read the document with ID "ABC123"
@q Search Quip documents for "meeting notes" using quip___search_documents

Development

Project Structure

quip_mcp_server/
├── __init__.py          # Package initialization
├── __main__.py          # Entry point
├── logging_config.py    # Centralized logging configuration
├── quip.py              # Core Quip API client
├── quip_edit.py         # Document editing functionality
└── strands_agent.py     # MCP agent implementation

tests/
├── __init__.py          # Test package initialization
├── conftest.py          # Test fixtures and configuration
├── test_logging_config.py  # Tests for logging configuration
├── test_main.py         # Tests for main module
├── test_quip.py         # Tests for Quip client
├── test_quip_edit.py    # Tests for document editing
└── test_strands_agent.py  # Tests for MCP agent

Running Tests

# Install development dependencies
pip install -e ".[dev]"

# Run tests with coverage
pytest

# Generate coverage reports
pytest --cov=quip_mcp_server --cov-report=html

The current test suite provides approximately 50% code coverage, focusing on the core functionality. The main module tests are currently skipped as they require more complex mocking.

Docker Build

docker build -t quip-mcp-server .

License

Apache 2.0