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Pull Request Overview
This pull request introduces an initial implementation of an MCP (Model Context Protocol) server for converting Google Drive URLs to Markdown format. The server uses FastMCP with Bearer token authentication and integrates with Google Drive API to export documents as Markdown.
Key changes include:
- Implementation of the core server functionality with Google Drive API integration
- Comprehensive test suite for Bearer token extraction functionality
- Complete development environment setup with Docker, CI/CD, and code quality tools
Reviewed Changes
Copilot reviewed 15 out of 17 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
| server.py | Core MCP server implementation with Google Drive API integration and Bearer token authentication |
| test_bearer_token.py | Unit tests for the Bearer token extraction functionality |
| pyproject.toml | Project configuration with dependencies and development tools setup |
| Makefile | Development automation tasks for testing, linting, and running the server |
| Dockerfile | Container configuration for deployment |
| .github/workflows/* | CI/CD pipeline configuration for testing, linting, and Docker publishing |
| README.md | Project documentation with setup instructions for OAuth2 and Pomerium configuration |
Comments suppressed due to low confidence (1)
server.py:107
- The line
del request.headerswill raise an AttributeError if theheadersattribute doesn't exist on the mock object. This could cause the test to fail unexpectedly. Consider usingrequest.headers = Noneor properly mocking the object without the headers attribute instead.
match = re.search(pattern, url)
- Remove unused type: ignore comment in server.py - Update pre-commit config to allow untyped decorators - Fix pre-commit workflow to install dependencies first
…se positives and exclude virtual environment from scanning
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