sonar-mcp-server
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Alternatives to sonar-mcp-server
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Related Servers
- AlicenseBqualityDmaintenanceRead-only MCP server that exposes SonarQube Web API tools for issue retrieval, quality gate status, and source context, enabling coding agents to fix code issues.8147 npm1MIT
- FlicenseNot gradedqualityAmaintenanceMCP server that exposes SonarQube data as AI agent tools, enabling project discovery, quality gates, measures, issues, hotspots, rule explanations, source code, and raw API access.4-
- FlicenseAqualityDmaintenanceA read-only MCP server that provides AI assistants with structured access to SonarQube projects, issues, metrics, and rules. It enables safe analysis of code quality and security findings through a set of validated, safety-first tools.6-
- AlicenseCqualityDmaintenanceA Python MCP server for SonarQube, enabling AI agents to query projects, issues, quality gates, coverage, and security hotspots.13MIT
- AlicenseAqualityBmaintenanceAn MCP server for SonarQube that enables LLM agents to discover projects, analyze code quality metrics, check Quality Gate status, search issues with filters, and rank projects by worst-performing metrics. It provides read-only, safe access to SonarQube instances with structured outputs and error handling.521 PyPIMIT
- AlicenseNot gradedqualityDmaintenanceServer for SonarQube Give AI assistants direct access to your code quality, security & analysis data2MIT
TDQS
Scored across 13 tools
Each tool targets a distinct resource and action (get/list for project, issue, hotspot, rule, components, branches, PRs). The three issue-related tools are clearly differentiated: listIssues returns details, getProjectIssuesSummary returns aggregate facets, and getProjectIssuesBreakdown groups by module/rule.
All tool names follow a consistent getX/listX pattern in camelCase, with nouns clearly indicating the resource. No mixing of conventions or vague verbs.
13 tools is well within the ideal 3-15 range and each tool covers a specific aspect of SonarQube analysis (projects, issues, hotspots, rules, branches, PRs, components). No redundancy or bloat.
Core read-only analysis workflows are well covered: project metrics, issue list/detail/snippets/aggregations, hotspot handling, and branch/PR scoping. Minor gaps include no listRules (only getRule) and no write actions (e.g., issue assignment or hotspot review), but these are not central to an analysis-focused server.