DeepSource
Createdsapientpants
Enables AI assistants to access and utilize code quality metrics and analysis results from DeepSource.
About
The DeepSource MCP Server integrates with DeepSource, providing AI assistants with access to code quality metrics, issues, and analysis results through the Model Context Protocol (MCP). This integration allows AI assistants to retrieve code metrics, access and filter issues, check quality status, and analyze project quality over time, facilitating informed decision-making and improved code quality management.
Key Features
- Connects to DeepSource via GraphQL API.
- Implements the Model Context Protocol for AI assistant integration.
- Built with TypeScript for type safety and modern JavaScript features.
- Comprehensive error handling for network, authentication, and parsing issues.
- Provides tools to list DeepSource projects and retrieve issues from a project.
- 0 GitHub stars
Use Cases
- Retrieve code quality metrics and analysis results for a DeepSource project.
- Integrate DeepSource analysis into AI assistant workflows.
- Access and filter issues identified by DeepSource.
