Sonarcloud MCP
S

Sonarcloud MCP

An MCP server tool that provides retrieval of SonarCloud issues related to pull requests
2.5 points
5.9K

What is the SonarCloud MCP Server?

The SonarCloud MCP server is a tool that helps developers retrieve code quality issues related to pull requests from SonarCloud and provides repair suggestions. The server supports retrieving issue lists through the API and can be integrated with Claude for automated fixing.

How to use the SonarCloud MCP Server?

Using the SonarCloud MCP server requires configuring the SonarCloud API key and project information. You can start the service by running it via Docker or locally and integrate it with Claude to automatically retrieve and fix issues.

Applicable Scenarios

Suitable for development teams to quickly identify and fix code quality issues in pull requests, improving code quality and collaboration efficiency.

Main Features

Retrieve SonarCloud Issues
Able to retrieve issues from a specified pull request in SonarCloud, including detailed information such as severity, type, and location.
Filter Issues
Supports filtering by organization, project, and PR number for precise issue location.
Support Authentication
Authenticate via API key to ensure data security.
Integrate with Claude
Can be integrated with Claude to automatically fix issues and submit changes.
Advantages
Simplifies the code quality inspection process and improves development efficiency.
Supports integration with AI tools such as Claude for automated fixing.
Provides clear issue classification and detailed information for easy understanding and handling.
Limitations
Requires configuring the SonarCloud API key, which may be a bit challenging for beginners.
Relies on an external service (SonarCloud), and network or service interruptions will affect usage.
Only supports specific formats of prompt words and requires following certain specifications.

How to Use

Generate a SonarCloud API Key
Go to the official SonarCloud documentation to generate an API key for authentication.
Configure Environment Variables
Set the SONARCLOUD_TOKEN, SONARCLOUD_ORGANISATION, and SONARCLOUD_PROJECT_KEY environment variables.
Run the MCP Server
Start the SonarCloud MCP server via Docker or locally.
Integrate with Claude
Configure the MCP server as a tool for Claude to directly call the SonarCloud issue retrieval and fixing functions in conversations.

Usage Examples

Retrieve Issues for the Current PR
The user wants to know what pending code quality issues there are in the current pull request.
Fix and Submit Issues
The user wants to automatically fix all SonarCloud issues assigned to them and push the changes to the current PR.

Frequently Asked Questions

How to get a SonarCloud API key?
Does the MCP server support multiple projects?
What if I can't retrieve issues?

Related Resources

SonarCloud Official Documentation
The official documentation of SonarCloud, including API usage instructions and configuration guides.
MCP Server Example Configuration
The GitHub repository for the SonarCloud MCP server, containing source code and configuration examples.
Claude Integration Tutorial
The integration tutorial for the Claude platform to help you connect the MCP server to Claude.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "sonarcloud": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "SONARCLOUD_TOKEN",
        "-e",
        "SONARCLOUD_ORGANISATION",
        "-e",
        "SONARCLOUD_PROJECT_KEY",
        "sonarcloud-mcp"
      ],
      "env": {
        "SONARCLOUD_TOKEN": "<your token here>",
        "SONARCLOUD_ORGANISATION": "<your organisation here>",
        "SONARCLOUD_PROJECT_KEY": "<your project key here>"
      }
    }
  }
}

{
  "mcpServers": {
    "sonarcloud-mcp": {
      "command": "node",
      "args": [
        "/path/to/sonarcloud_mcp/dist/index.js"
      ],
      "env": {
        "SONARCLOUD_TOKEN": "<your token here>",
        "SONARCLOUD_ORGANISATION": "<your organisation here>",
        "SONARCLOUD_PROJECT_KEY": "<your project key here>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
9.7K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.2K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.6K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
9.4K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.3K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
15.0K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.0K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
17.0K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
46.5K
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
45.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.6K
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
31.1K
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
64.7K
4.7 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIBase