SonarQube MCP Server integrates SonarQube's code quality analysis capabilities with AI assistants through the Model Context Protocol. Built in Rust, it provides tools for retrieving code metrics, accessing issues (bugs, vulnerabilities, code smells), checking quality gate statuses, and analyzing project quality over time. The server exposes a set of tools that allow AI assistants to query SonarQube projects, making it valuable for development teams who want their AI assistants to have awareness of code quality metrics and issues without leaving their conversation interface.
Cognium trust score
50%
Tier
Unverified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.