The DeepSource MCP Server enables AI assistants to interact with DeepSource's code quality analysis capabilities through the Model Context Protocol. It allows retrieval of code metrics, access to issues, quality status checks, and analysis of project quality over time.
Features
- Retrieves code metrics and analysis results
- Accesses and filters issues related to code quality
- Checks quality gate statuses and conditions
- Analyzes project quality trends over time
- Integrates with AI assistants for enhanced code analysis
Categories
Model Context Protocol (MCP) ServersLicense
MIT LicenseFollow DeepSource MCP Server
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of DeepSource MCP Server!