SonarLint MCP Server
Provides real-time code analysis for JavaScript, TypeScript, and Python projects, detecting bugs, code smells, and security vulnerabilities using SonarLint's standalone backend.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@SonarLint MCP ServerAnalyze this TypeScript file for code smells: src/component.ts"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
SonarLint MCP Server
A Model Context Protocol (MCP) server that brings enterprise-grade code analysis to Claude Desktop and other MCP clients using SonarLint's standalone SLOOP backend.
Features
🔍 Real-time Code Analysis - Detect bugs, code smells, and security vulnerabilities
🚀 Fast & Standalone - No IDE or SonarQube server required
📦 Multiple Languages - JavaScript, TypeScript, Python (265+ JS rules)
💾 Session Storage - Results stored in memory for multi-turn conversations
🔧 Quick Fixes - Automated suggestions for common issues
🎯 Batch Analysis - Analyze multiple files efficiently
Quick Start
Prerequisites
Node.js 22 or higher
Claude Desktop (or any MCP client)
Installation
No installation required! Use npx to run directly:
npx @nielspeter/sonarlint-mcp-serverThe SLOOP backend (~70MB) downloads automatically on first run.
From Source (for development):
git clone https://github.com/nielspeter/sonarlint-mcp-server.git
cd sonarlint-mcp-server
npm install # Auto-downloads SLOOP backend (~70MB)
npm run buildConfigure with Claude Code
Use the Claude CLI to add the MCP server:
claude mcp add --transport stdio sonarlint -- npx -y @nielspeter/sonarlint-mcp-serverThis automatically updates your Claude Code configuration. No restart needed!
Configure with Claude Desktop
Add to your claude_desktop_config.json:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"sonarlint": {
"command": "npx",
"args": ["-y", "@nielspeter/sonarlint-mcp-server"]
}
}
}Restart Claude Desktop to apply changes.
Rule Configuration
Customize SonarLint rules per project by creating a sonarlint.json in your project root:
{
"rules": {
"typescript:S3776": {
"level": "on",
"parameters": {
"threshold": "20"
}
},
"javascript:S1481": {
"level": "off"
}
}
}level:"on"(default) or"off"to enable/disable a ruleparameters: Override rule thresholds and settings (see configurable rules)Fallback: If no
sonarlint.jsonis found,.sonarlint/settings.jsonis checked (IDE convention)
Copy sonarlint.example.json from this repo as a starting point. Use list_rules to discover available rules and their configurable parameters.
Usage
Once configured, Claude can analyze your code:
Analyze my JavaScript file for code quality issues: /path/to/file.jsCheck these files for bugs: src/app.ts, src/utils.tsAnalyze this code snippet:
function process(data) {
var result = data; // Issues with 'var'
return result;
}Available Tools
Tool | Description |
| Check a file for code quality issues |
| Check multiple files in one call |
| Check a code snippet (no file on disk needed) |
| Automatically fix one specific issue |
| Automatically fix all fixable issues in a file |
| List all active code quality rules |
| Check server status and diagnostics |
Example Analysis Output
{
file: "/path/to/file.js",
language: "javascript",
issues: [
{
line: 4,
column: 2,
severity: "MAJOR",
rule: "javascript:S3504",
message: "Unexpected var, use let or const instead.",
quickFix: {
message: "Replace with 'const'",
edits: [...]
}
}
],
summary: {
total: 5,
critical: 0,
major: 3,
minor: 2
}
}Supported Languages
Language | Extensions | Rules |
JavaScript |
| 265 |
TypeScript |
| 265 |
Python |
| ~100 |
Architecture
Claude Desktop
↓ MCP Protocol (stdio)
SonarLint MCP Server (this project)
↓ JSON-RPC
SLOOP Backend (SonarLint Local Operations)
↓ Plugin API
Language Analyzers (JS/TS, Python)The server uses SonarLint's standalone SLOOP backend with:
Version: 10.32.0.82302 (WebStorm-compatible)
Bundled JRE: Java 17
Bi-directional RPC: Client request handlers implemented
Session Storage: Results stored in memory for multi-turn conversations
SLOOP Integration: Scope Lifecycle
SLOOP requires a specific initialization sequence. Getting this wrong causes analysis to hang:
Pre-register files — Store file DTOs in
scopeFilesmap before creating the scope. SLOOP callslistFilessynchronously during scope creation, so files must already be available.Create scope — Send
addConfigurationScopenotification to SLOOP.Wait for readiness — SLOOP sends
didChangeAnalysisReadinesswhen the scope is ready. Analysis requests before this point will fail silently.Analyse — Call
analyzeFilesAndTrackwith the files.
Key design decisions:
No directory scanning in
listFiles— Only return the specific files requested for analysis. Scanning the project root returned 500+ files on real projects and caused multi-minute hangs.getBaseDirreturns project root — Detected viapackage.json,.git, etc. SLOOP uses this for.gitignorematching and file exclusion patterns.ideRelativePathrelative to project root — SLOOP'sWildcardPattern.matchrequires this; null values cause NPEs.
Development
# Install dependencies (auto-downloads backend)
npm install
# Build
npm run build
# Run tests
npm test
# Watch mode (auto-rebuild)
npm run dev
# Inspect with MCP Inspector
npm run inspectTesting
# Run test suite
npm test
# Run with UI
npm run test:ui
# Run with coverage
npm run test:coverageTests validate:
SLOOP bridge functionality
File and content analysis
JavaScript and Python plugin detection
Quick fix support
Error handling
Documentation
SETUP.md - Detailed installation guide
TROUBLESHOOTING.md - Common issues and solutions
docs/configurable-rules.md - All 84 configurable rules with parameters and defaults
docs/SLOOP_RPC_PROTOCOL.md - Complete RPC protocol documentation
docs/TESTING.md - Testing guide
Technical Highlights
This project demonstrates several key technical achievements:
Standalone SLOOP - First documented standalone use of SonarLint's SLOOP backend
Bi-directional RPC - Complete client request handler implementation
MCP Integration - Full Model Context Protocol implementation with resources
Session Management - Results storage for multi-turn conversations
Production Ready - Comprehensive testing, error handling, and monitoring
Critical Implementation Details
For anyone using SLOOP programmatically:
listFilesmust returnClientFileDtowith file content (not just URIs)isUserDefined: trueis mandatory (SLOOP filters out false values)bundlePathshould be parent directory (SLOOP appends/package/bin/server.cjs)Client must implement 4 request handlers (listFiles, getBaseDir, etc.)
backendCapabilitiesrequired for proper initialization
Why This Approach?
Advantages
✅ No IDE dependency - runs completely standalone
✅ Full API access - all SLOOP services available
✅ Better control - configure for specific needs
✅ More reliable - direct process communication
✅ CI/CD capable - can run in automated environments
✅ Faster - no IDE overhead
Comparison to IDE Integration
We initially investigated connecting to IDE servers (WebStorm port 64120) but discovered:
IDE server is only for "Open in IDE" from SonarQube Server/Cloud
Limited API access
IDE must be running
Not suitable for programmatic access
Related Projects
SonarQube MCP Server - Official server for SonarQube Server/Cloud APIs
Complementary approach requiring server setup
This project provides local, standalone analysis
Contributing
Contributions welcome! Areas for improvement:
Additional language support (Java, Go, PHP)
Custom rule development
Performance optimizations
CI/CD integrations
License
MIT License - see LICENSE
Acknowledgments
SonarSource for building SLOOP and SonarLint
Anthropic for the Model Context Protocol
Claude Code for enabling this development
Status: ✅ Production Ready - All phases complete with comprehensive testing
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