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ArchAI-Labs/fastmcp-sonarqube-metrics

by Various

Chat with your SonarQube data: explore metrics, compare trends, and track issues—effortlessly.

A

MCP

ArchAI-Labs/fastmcp-sonarqube-metrics

Added 1 June 2026

#mcp-server #sonarqube

Overview

A Python-based MCP server that lets you query SonarQube metrics using natural language. It connects to a SonarQube instance and exposes project metrics, issue counts, and trend data through a chat interface.

Best for

Best for
Developers who want to query SonarQube metrics conversationally without writing API calls

Use cases

  • Ask about code quality metrics for a specific project
  • Compare quality trends across different time periods
  • Track open issues and their severity levels

How to use

Tools exposed

  • get_status
  • create_sonarqube_project
  • delete_sonarqube_project
  • list_projects
  • get_sonarqube_metrics
  • get_sonarqube_metrics_history
  • get_sonarqube_component_tree_metrics
  • get_project_issues

Tested with

Claude Desktop, VS Code, ChatGPT, client_test.py, client_tool.py, client_langchain.py

Example client config

SONARQUBE_URL=<your_sonarqube_url>\nSONARQUBE_TOKEN=<your_sonarqube_token>\nTRANSPORT=<stdio or sse>\nGEMINI_API_KEY=<your-gemini-api_key>\nGEMINI_MODEL=<your-gemini-model> (Optional)\n# For Azure OpenAI:\nSONARQUBE_URL=<your_sonarqube_url>\nSONARQUBE_TOKEN=<your_sonarqube_token>\nTRANSPORT=<stdio or sse>\nAZURE_OPENAI_API_KEY=<your-azureopenai-api_key>\nAZURE_OPENAI_ENDPOINT=<your-azureopenai-endpoint>\nAZURE_DEPLOYMENT=<your-azureopenai-deployment>\nAZURE_API_VERSION=<your-azureopenai-api_version>

Notes

A Python-based MCP server that lets you query SonarQube metrics using natural language. It connects to a SonarQube instance and exposes project metrics, issue counts, and trend data through a chat interface.

13 stars on GitHub. Last updated 2026-03-30. Licensed Apache-2.0.

Use cases

  • Ask about code quality metrics for a specific project
  • Compare quality trends across different time periods
  • Track open issues and their severity levels

Pros

  • Enables natural language exploration of SonarQube data
  • Lightweight and easy to integrate with existing MCP clients
  • Open source with a permissive license

Cons

  • Requires a running SonarQube instance with API access
  • Limited to the metrics SonarQube exposes
  • Small community and few stars, so limited support

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Enables natural language exploration of SonarQube data
  • Lightweight and easy to integrate with existing MCP clients
  • Open source with a permissive license

Cons

  • Requires a running SonarQube instance with API access
  • Limited to the metrics SonarQube exposes
  • Small community and few stars, so limited support

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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