DeepSource▌
by sapientpants
Integrate DeepSource's static code analysis tools for real-time project metrics, issue tracking, and code quality insigh
Integrates with DeepSource's code quality platform to provide access to project metrics, issues, and analysis results for monitoring and troubleshooting code quality directly in conversations.
best for
- / Development teams tracking code quality metrics
- / Code reviewers investigating quality issues
- / Engineering managers monitoring project health
- / DevOps teams integrating quality checks
capabilities
- / Query code quality metrics from DeepSource projects
- / Retrieve active and resolved issues from repositories
- / Access code analysis results and reports
- / Monitor code coverage trends
- / Fetch project-specific quality insights
what it does
Connects to DeepSource's code quality platform to retrieve project metrics, issues, and analysis results. Lets you monitor and troubleshoot code quality through AI conversations.
about
DeepSource is a community-built MCP server published by sapientpants that provides AI assistants with tools and capabilities via the Model Context Protocol. Integrate DeepSource's static code analysis tools for real-time project metrics, issue tracking, and code quality insigh It is categorized under auth security, developer tools.
how to install
You can install DeepSource in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
DeepSource is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Integrate DeepSource's static code analysis tools for real-time project metrics, issue tracking, and code quality insigh
TL;DR: Connects to DeepSource's code quality platform to retrieve project metrics, issues, and analysis results. Lets you monitor and troubleshoot code quality through AI conversations.
What it does
- Query code quality metrics from DeepSource projects
- Retrieve active and resolved issues from repositories
- Access code analysis results and reports
- Monitor code coverage trends
- Fetch project-specific quality insights
Best for
- Development teams tracking code quality metrics
- Code reviewers investigating quality issues
- Engineering managers monitoring project health
- DevOps teams integrating quality checks
Highlights
- Direct DeepSource platform integration
- Real-time code quality monitoring