{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"awesome-sonarqube","slug":"sonarqube","name":"SonarQube","type":"mcp","url":"https://github.com/SonarSource/sonarqube-mcp-server","page_url":"https://unfragile.ai/sonarqube","categories":["mcp-servers"],"tags":[],"pricing":{"model":"open_source","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"awesome-sonarqube__cap_0","uri":"capability://code.generation.editing.local.code.snippet.analysis.via.sonarlint","name":"local-code-snippet-analysis-via-sonarlint","description":"Analyzes code snippets directly within the agent context using SonarLint's embedded RPC engine, without requiring a SonarQube server roundtrip. The BackendService orchestrates communication with SonarLint's analysis daemon, caching analyzer plugins locally via the sqplugins dependency configuration and storing results in a configurable STORAGE_PATH directory. This enables synchronous, low-latency code quality checks for inline development workflows.","intents":["I want to analyze a code snippet for bugs and security issues without sending it to a remote server","I need real-time code quality feedback as I'm writing code in my IDE or agent context","I want to run SonarQube analysis locally without network latency or authentication overhead"],"best_for":["AI agents embedded in IDEs requiring sub-100ms analysis latency","development teams with air-gapped or offline environments","developers building real-time code review agents"],"limitations":["Limited to code snippet analysis — cannot analyze full project structure or cross-file dependencies","Requires local storage for analyzer plugins and caches, adding ~50-200MB disk overhead per language","SonarLint RPC daemon must be running and properly initialized before analysis requests","No access to historical issue trends or project-wide quality metrics available only in SonarQube server"],"requires":["Java 11+ runtime environment","STORAGE_PATH environment variable pointing to writable directory","SonarLint RPC daemon (bundled, auto-initialized by BackendService)","sqplugins dependency configuration for language-specific analyzers"],"input_types":["code snippet (string, any programming language supported by SonarLint)","file path (optional, for context)"],"output_types":["structured issue list (JSON with rule ID, severity, line number, message)","metrics object (complexity, duplication, maintainability index)"],"categories":["code-generation-editing","local-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sonarqube__cap_1","uri":"capability://search.retrieval.remote.code.quality.issue.retrieval.and.filtering","name":"remote-code-quality-issue-retrieval-and-filtering","description":"Fetches code quality issues from a remote SonarQube instance (Cloud or Server) via HTTP REST API, with filtering by project, branch, severity, type, and status. The ServerApi layer handles token-based authentication and pagination, returning structured issue metadata including rule descriptions, effort estimates, and assignee information. Supports both organization-scoped queries (Cloud) and server-wide queries (Server), enabling agents to surface relevant issues in development context.","intents":["I want to retrieve all open bugs and vulnerabilities for a specific project from SonarQube","I need to filter issues by severity and type to prioritize code review tasks","I want to fetch issue details including rule descriptions and remediation guidance for an agent to explain to developers"],"best_for":["teams integrating SonarQube quality gates into CI/CD pipelines","AI agents providing code review summaries and issue prioritization","development teams tracking technical debt across multiple projects"],"limitations":["Requires valid SonarQube authentication token with appropriate permissions","API pagination limits results to 500 issues per request — large projects require multiple calls","No real-time streaming — issues are fetched on-demand with potential staleness if analysis is in-progress","Cannot modify issue status or assign issues directly — read-only access to issue data"],"requires":["SONARQUBE_TOKEN environment variable (user token with 'Browse' permission)","SONARQUBE_ORG for Cloud instances, SONARQUBE_URL for Server instances","Network connectivity to SonarQube instance","Java 11+ runtime"],"input_types":["project key (string)","branch name (optional, string)","filter parameters (severity, type, status as enums)"],"output_types":["structured issue array (JSON with rule key, severity, type, message, effort, assignee)","pagination metadata (total count, page number)"],"categories":["search-retrieval","data-processing-analysis"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sonarqube__cap_10","uri":"capability://safety.moderation.error.handling.and.rpc.logging","name":"error-handling-and-rpc-logging","description":"Implements comprehensive error handling for both local (SonarLint RPC) and remote (SonarQube API) failures, with structured logging of RPC calls and responses. The system catches exceptions from both backends and translates them into MCP-compatible error responses, logging diagnostic information for troubleshooting. Error responses include error codes and messages that help clients understand failure reasons (authentication, network, validation, etc.).","intents":["I want to understand why an analysis failed (network error, auth failure, invalid input, etc.)","I need diagnostic logs to troubleshoot MCP server issues","I want my AI agent to handle different error types appropriately (retry on network errors, fail on auth errors)"],"best_for":["development teams debugging MCP server issues","AI agents implementing error recovery logic","operations teams monitoring MCP server health"],"limitations":["Error messages may expose sensitive information (token values, internal paths) — requires careful log redaction","Logging overhead adds ~10-50ms per RPC call depending on log level","No structured error codes — error types are inferred from exception messages","Log output goes to stderr — requires external log aggregation for centralized monitoring"],"requires":["Logging framework (SLF4J, configured in build.gradle.kts)","Stderr redirection for log capture","Appropriate log level configuration (DEBUG for troubleshooting, INFO for production)"],"input_types":["tool execution requests (any tool call)"],"output_types":["MCP error responses (with error code and message)","diagnostic logs (to stderr)"],"categories":["safety-moderation","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sonarqube__cap_11","uri":"capability://automation.workflow.gradle.based.build.and.packaging.system","name":"gradle-based-build-and-packaging-system","description":"Uses Gradle build system (build.gradle.kts) to manage dependencies, compile Java source, run tests, and package the application as a fat JAR with all dependencies included. The build system defines sqplugins configuration for analyzer dependencies, test framework setup (JUnit), and CI/CD integration points. Build outputs include executable JAR and Docker image artifacts ready for deployment.","intents":["I want to build the SonarQube MCP server from source","I need to add new dependencies or update existing ones","I want to create Docker images for deployment"],"best_for":["developers contributing to the SonarQube MCP server project","teams building custom extensions or modifications","organizations with strict build reproducibility requirements"],"limitations":["Gradle build requires JDK 11+ to be installed","Build time is 2-5 minutes depending on network speed (first build downloads dependencies)","Fat JAR size is 100-200MB depending on included plugins","No incremental build caching — rebuilds download all dependencies"],"requires":["JDK 11+ (for compilation)","Gradle 7.0+ (or use included Gradle wrapper)","Network connectivity to Maven Central for dependency downloads"],"input_types":["source code (Java files in src/main/java)","build configuration (build.gradle.kts)"],"output_types":["compiled JAR (sonarqube-mcp-server.jar)","Docker image (mcp/sonarqube:latest)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sonarqube__cap_2","uri":"capability://search.retrieval.project.and.branch.metadata.retrieval","name":"project-and-branch-metadata-retrieval","description":"Queries SonarQube instance to retrieve project metadata including key, name, visibility, last analysis date, and available branches. The ServerApi layer fetches this data via REST endpoints and caches results to minimize API calls. Enables agents to discover projects within an organization and select appropriate analysis targets without manual configuration.","intents":["I want to list all projects in my SonarQube organization to select one for analysis","I need to find available branches for a project to analyze a specific feature branch","I want to check when a project was last analyzed to understand data freshness"],"best_for":["AI agents with multi-project discovery workflows","teams managing large SonarQube instances with 50+ projects","CI/CD pipelines that need to dynamically select analysis targets"],"limitations":["Metadata is cached and may be stale if projects are created/deleted frequently","Branch list only includes branches that have been analyzed at least once","No filtering by project type or custom metadata — only built-in SonarQube fields","Requires 'Browse' permission on each project to retrieve metadata"],"requires":["SONARQUBE_TOKEN with 'Browse' permission","SONARQUBE_ORG (Cloud) or SONARQUBE_URL (Server)","Network connectivity to SonarQube instance"],"input_types":["organization key (Cloud only, optional for listing all projects)","project key (optional, for single project metadata)"],"output_types":["project array (JSON with key, name, visibility, lastAnalysisDate)","branch array (JSON with name, isMain flag)"],"categories":["search-retrieval","memory-knowledge"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sonarqube__cap_3","uri":"capability://planning.reasoning.quality.gate.status.evaluation","name":"quality-gate-status-evaluation","description":"Retrieves and evaluates quality gate status for a project/branch from SonarQube, returning pass/fail status and detailed condition results (coverage thresholds, duplication limits, etc.). The ServerApi queries the quality gates endpoint and parses condition metrics, enabling agents to make go/no-go decisions for deployments or code reviews based on predefined quality criteria.","intents":["I want to check if a project passes its quality gate before merging a pull request","I need to understand which quality gate conditions failed and why","I want to enforce quality gates in my CI/CD pipeline using SonarQube as the source of truth"],"best_for":["CI/CD pipelines implementing quality gate checks before deployment","AI agents making merge/deploy recommendations based on code quality","teams with strict quality standards requiring automated enforcement"],"limitations":["Quality gate status is only available for projects that have completed at least one analysis","Cannot modify quality gate rules or thresholds — read-only access","Status may be stale if analysis is in-progress (returns previous analysis result)","Condition details are limited to metrics exposed by SonarQube (no custom conditions)"],"requires":["SONARQUBE_TOKEN with 'Browse' permission","Project must have a quality gate assigned in SonarQube","At least one completed analysis for the project"],"input_types":["project key (string)","branch name (optional, defaults to main branch)"],"output_types":["quality gate status object (JSON with status: PASS|FAIL, conditions array with metric, operator, threshold, actual value)"],"categories":["planning-reasoning","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sonarqube__cap_4","uri":"capability://tool.use.integration.mcp.protocol.tool.registration.and.execution","name":"mcp-protocol-tool-registration-and-execution","description":"Registers all analysis and API tools as MCP-compliant tool definitions with schema validation, and executes tool calls via the SonarQubeMcpServer's tool dispatcher. The system uses the MCP Tool interface to expose tools with JSON schema input validation, enabling AI clients (Claude, other LLMs) to discover and invoke tools with type-safe parameters. Tool execution is routed to either BackendService (local analysis) or ServerApi (remote queries) based on tool type.","intents":["I want to expose SonarQube analysis capabilities to an AI agent via the Model Context Protocol","I need my AI assistant to discover available analysis tools and their parameters automatically","I want type-safe tool invocation with schema validation to prevent invalid analysis requests"],"best_for":["AI agents and LLMs using MCP for tool discovery and invocation","development teams building custom AI-powered code review workflows","organizations standardizing on MCP for tool integration across multiple services"],"limitations":["Tool schemas are static and defined at server startup — cannot dynamically add tools at runtime","MCP protocol overhead adds ~50-100ms per tool invocation for serialization/deserialization","Tool execution is synchronous — long-running analyses (>30s) may timeout depending on client configuration","Error handling is limited to MCP error responses — no streaming or progress updates during analysis"],"requires":["MCP-compatible client (Claude, custom agent framework)","StdioServerTransportProvider for stdio-based MCP communication","Java 11+ runtime with proper classpath configuration"],"input_types":["tool name (string, from registered tool set)","tool arguments (JSON object matching tool schema)"],"output_types":["tool result (JSON object with analysis results or API response)","MCP error response (if validation or execution fails)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sonarqube__cap_5","uri":"capability://tool.use.integration.dual.backend.analysis.orchestration","name":"dual-backend-analysis-orchestration","description":"Orchestrates analysis requests across two distinct backends: BackendService for local SonarLint analysis and ServerApi for remote SonarQube queries. The SonarQubeMcpServer class routes tool calls based on analysis type (snippet vs project-wide), managing separate authentication, caching, and error handling for each backend. This architecture enables seamless switching between local and remote analysis without client-side logic.","intents":["I want to analyze a code snippet locally without network calls, but also query project-wide issues from SonarQube","I need to handle both offline (local) and online (remote) analysis scenarios transparently","I want to minimize latency for snippet analysis while maintaining access to historical project data"],"best_for":["hybrid development workflows combining local and remote analysis","teams with both air-gapped and cloud-connected environments","AI agents requiring both real-time feedback and historical context"],"limitations":["Local and remote analyses may produce different results due to different rule sets or plugin versions","Requires configuration for both backends — incomplete setup breaks either local or remote functionality","No automatic synchronization between local and remote analysis results","Debugging dual-backend issues requires understanding both SonarLint RPC and SonarQube REST APIs"],"requires":["STORAGE_PATH for local analysis","SONARQUBE_TOKEN and SONARQUBE_ORG/SONARQUBE_URL for remote analysis","SonarLint RPC daemon (auto-initialized)","Network connectivity for remote backend (optional if only using local)"],"input_types":["tool type (local_analysis or remote_query)","analysis parameters (code snippet or project key)"],"output_types":["unified analysis result (JSON with issues, metrics, metadata)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sonarqube__cap_6","uri":"capability://automation.workflow.containerized.and.jar.deployment.support","name":"containerized-and-jar-deployment-support","description":"Supports deployment via Docker containers and standalone JAR execution, with environment variable and system property configuration for both modes. The build system (Gradle) generates a fat JAR with all dependencies included, and Docker configuration enables stateless container deployment with volume mounts for STORAGE_PATH. Both deployment modes use identical configuration mechanisms, enabling consistent behavior across environments.","intents":["I want to deploy the SonarQube MCP server as a Docker container in my Kubernetes cluster","I need to run the MCP server as a standalone JAR in my CI/CD pipeline","I want to configure the server using environment variables without modifying code or config files"],"best_for":["DevOps teams deploying MCP servers in containerized environments","CI/CD pipelines requiring ephemeral MCP server instances","teams standardizing on Docker for tool deployment"],"limitations":["Docker deployment requires volume mount for STORAGE_PATH — no built-in persistence","JAR execution requires Java 11+ to be pre-installed on host","Environment variable configuration is not encrypted — sensitive tokens visible in process environment","No built-in health checks or graceful shutdown handling in base deployment"],"requires":["Docker 20.10+ (for container deployment) OR Java 11+ (for JAR execution)","Environment variables: STORAGE_PATH, SONARQUBE_TOKEN, SONARQUBE_ORG/SONARQUBE_URL","Writable filesystem for STORAGE_PATH (at least 500MB recommended)"],"input_types":["deployment method (docker or jar)","environment variables (key-value pairs)"],"output_types":["running MCP server process (listening on stdio for MCP protocol)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sonarqube__cap_7","uri":"capability://safety.moderation.authentication.and.authorization.token.management","name":"authentication-and-authorization-token-management","description":"Manages SonarQube authentication via token-based credentials stored in SONARQUBE_TOKEN environment variable. The ServerApi layer includes the token in HTTP Authorization headers for all remote API calls, supporting both SonarQube Cloud and Server instances. Token validation is implicit — invalid tokens result in 401/403 API responses that are propagated to clients.","intents":["I want to authenticate with SonarQube using a user token without storing credentials in code","I need to ensure my MCP server can access SonarQube with appropriate permissions","I want to rotate authentication tokens without redeploying the server"],"best_for":["teams using SonarQube with token-based authentication","CI/CD pipelines requiring secure credential management","organizations with strict authentication policies"],"limitations":["Token is stored in plaintext in environment variables — vulnerable to process inspection","No token rotation mechanism — requires server restart to update credentials","No built-in token expiration handling — expired tokens cause API failures without graceful degradation","Token permissions are not validated at server startup — permission errors only surface during tool execution"],"requires":["Valid SonarQube user token with 'Browse' permission (minimum)","SONARQUBE_TOKEN environment variable set before server startup","Token must have appropriate permissions for intended operations (Browse, Scan, etc.)"],"input_types":["SONARQUBE_TOKEN (string, from environment)"],"output_types":["authenticated HTTP requests (with Authorization header)","API error responses (401/403 if token invalid)"],"categories":["safety-moderation","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sonarqube__cap_8","uri":"capability://automation.workflow.plugin.and.analyzer.dependency.management","name":"plugin-and-analyzer-dependency-management","description":"Manages SonarLint analyzer plugins via Gradle's sqplugins dependency configuration, automatically downloading and caching language-specific analyzers (Java, Python, JavaScript, etc.) in the STORAGE_PATH directory. The BackendService initializes the SonarLint RPC daemon with configured plugins, enabling multi-language analysis without manual plugin installation. Plugin versions are pinned in build.gradle.kts and updated via dependency management.","intents":["I want to analyze code in multiple programming languages using a single MCP server","I need to ensure consistent analyzer versions across all deployments","I want to add support for a new programming language without modifying server code"],"best_for":["polyglot development teams analyzing code in multiple languages","organizations standardizing on specific analyzer versions","teams building language-agnostic code quality platforms"],"limitations":["Plugin versions are fixed at build time — cannot dynamically add/remove plugins at runtime","Adding new language support requires rebuilding and redeploying the server","Plugin downloads are cached in STORAGE_PATH — requires sufficient disk space (50-500MB depending on languages)","No built-in plugin update mechanism — requires manual dependency version bumps and redeployment"],"requires":["Gradle build system with sqplugins dependency configuration","STORAGE_PATH with sufficient disk space for plugin caches","Network connectivity during first server startup to download plugins"],"input_types":["programming language (inferred from code file extension or explicitly specified)"],"output_types":["analysis results for specified language (using appropriate analyzer plugin)"],"categories":["automation-workflow","tool-use-integration"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"awesome-sonarqube__cap_9","uri":"capability://tool.use.integration.stdio.based.mcp.protocol.transport","name":"stdio-based-mcp-protocol-transport","description":"Implements Model Context Protocol communication via standard input/output streams using StdioServerTransportProvider, enabling MCP clients to communicate with the server through stdin/stdout without requiring network sockets. The transport layer handles JSON-RPC message serialization/deserialization and bidirectional communication, making the server compatible with any MCP client that supports stdio transport.","intents":["I want to integrate the SonarQube MCP server with an AI agent that uses stdio-based MCP communication","I need a lightweight transport mechanism that doesn't require network configuration","I want to embed the MCP server in a larger application using process-based communication"],"best_for":["AI agents and LLMs using MCP with stdio transport","development environments embedding MCP servers as subprocesses","teams avoiding network-based tool communication for security/simplicity"],"limitations":["Stdio transport is unidirectional per stream — requires careful message ordering to avoid deadlocks","No built-in multiplexing — cannot handle multiple concurrent requests efficiently","Message size is limited by OS pipe buffer sizes (typically 64KB) — large analysis results may be truncated","No keepalive or heartbeat mechanism — client disconnection may leave server process orphaned"],"requires":["MCP-compatible client with stdio transport support","Java 11+ runtime with proper stdin/stdout configuration","Parent process managing server lifecycle (spawning and terminating)"],"input_types":["JSON-RPC messages (via stdin, following MCP protocol)"],"output_types":["JSON-RPC responses (via stdout, following MCP protocol)"],"categories":["tool-use-integration","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":31,"verified":false,"data_access_risk":"high","permissions":["Java 11+ runtime environment","STORAGE_PATH environment variable pointing to writable directory","SonarLint RPC daemon (bundled, auto-initialized by BackendService)","sqplugins dependency configuration for language-specific analyzers","SONARQUBE_TOKEN environment variable (user token with 'Browse' permission)","SONARQUBE_ORG for Cloud instances, SONARQUBE_URL for Server instances","Network connectivity to SonarQube instance","Java 11+ runtime","Logging framework (SLF4J, configured in build.gradle.kts)","Stderr redirection for log capture"],"failure_modes":["Limited to code snippet analysis — cannot analyze full project structure or cross-file dependencies","Requires local storage for analyzer plugins and caches, adding ~50-200MB disk overhead per language","SonarLint RPC daemon must be running and properly initialized before analysis requests","No access to historical issue trends or project-wide quality metrics available only in SonarQube server","Requires valid SonarQube authentication token with appropriate permissions","API pagination limits results to 500 issues per request — large projects require multiple calls","No real-time streaming — issues are fetched on-demand with potential staleness if analysis is in-progress","Cannot modify issue status or assign issues directly — read-only access to issue data","Error messages may expose sensitive information (token values, internal paths) — requires careful log redaction","Logging overhead adds ~10-50ms per RPC call depending on log level","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.05,"quality":0.49,"ecosystem":0.39999999999999997,"match_graph":0.25,"freshness":0.52,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.15,"match_graph":0.23,"freshness":0.12}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-06-17T09:51:04.049Z","last_scraped_at":"2026-05-03T14:00:15.503Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=sonarqube","compare_url":"https://unfragile.ai/compare?artifact=sonarqube"}},"signature":"+U3Bg7i20MO3WxiXg5s2iLEfAdD/j1bnE+3DMWouzL3Atdlr3Dxh4xU1yQlLy5jnot2pmhXaNQcBAU09l3d3CQ==","signedAt":"2026-06-22T17:43:39.635Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/sonarqube","artifact":"https://unfragile.ai/sonarqube","verify":"https://unfragile.ai/api/v1/verify?slug=sonarqube","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}