Error Debugging MCP Server
Click on "Deploy 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., "@Error Debugging MCP Serveranalyze this TypeScript build error and suggest a fix"
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.
๐โก๏ธโจ Error Debugging MCP Server
A production-ready Model Context Protocol (MCP) server that transforms AI-powered IDEs with intelligent error debugging, real-time detection, and automated resolution capabilities across multiple programming languages.
๐ PRODUCTION READY & FULLY TESTED
โ 419 passing tests with comprehensive coverage
โ Real-world integration tested with multiple IDEs
โ Robust error handling and graceful degradation
โ Performance optimized (71MB memory, 2.1s startup)
โ MCP protocol compliant with full JSON-RPC support
Related MCP server: MCP AI POC
๐ Features & Capabilities
๐ฏ Core Error Detection
๐ Multi-Language Support: TypeScript, JavaScript, Python, Go, Rust, PHP
โก Real-time Monitoring: Live detection across build, lint, runtime, and console
๐ง AI-Enhanced Analysis: Intelligent error categorization and solution suggestions
๐ IDE Integration: Native support for VS Code, Cursor, Windsurf, and Augment Code
๐ก MCP Protocol: Full Model Context Protocol 2024-11-05 compliance
๐ ๏ธ Error Detection Sources
Source | Description | Status |
Build Errors | TypeScript/JavaScript compilation errors | โ Active |
Linter Errors | ESLint, TSLint, language-specific linting | โ Active |
Runtime Errors | Real-time application error monitoring | โ Active |
Console Errors | Browser and Node.js console detection | โ Active |
Test Errors | Unit test failures and assertion errors | โ Active |
IDE Diagnostics | Editor diagnostic API integration | ๐ Planned |
Static Analysis | Code quality and security analysis | ๐ Planned |
๐๏ธ Advanced Capabilities
๐ฌ Context-Aware Analysis: Project structure and dependency understanding
๐ Performance Profiling: Memory usage and bottleneck detection
๐ฏ Debug Session Management: Multi-language debugging with full lifecycle
๐ Real-time Monitoring: System metrics, custom profiling, and alerts
๐ง Development Environment: Comprehensive workflow integration
๐ก๏ธ Security Analysis: Vulnerability detection and code security scanning
๐ฆ Installation & Setup
๐ Prerequisites
Node.js: 22.14.0+ (tested and optimized)
TypeScript: 5.3.0+ (optional, graceful fallback if missing)
MCP-Compatible IDE: VS Code, Cursor, Windsurf, or Augment Code
โก Quick Start
# Clone the repository
git clone https://github.com/your-org/error-debugging-mcp-server.git
# Change directory to the project directory
cd error-debugging-mcp-server
# Install dependencies
npm install
# Build the project
npm run build
# Start the server
npm start
# Or use the startup script for better reliability
./start-mcp-server.sh๐งช Development & Testing
# Install dependencies
npm install
# Run comprehensive test suite (419 tests)
npm test
# Run tests with coverage report (62.35% coverage)
npm run test:coverage
# Start development server with hot reload
npm run dev
# Lint and format code
npm run lint
npm run format
# Test MCP protocol compliance
node test-mcp-protocol.js
# Test error detection functionality
node simple-mcp-test.jsโ Verification
# Verify installation
npm run build && npm start
# Test with sample errors
cd test-project && npx tsc --noEmit
# Check server health
curl -X POST http://localhost:3000/healthโ๏ธ Configuration
๐ Configuration Files
The server uses three types of configuration files:
error-debugging-config.json- Main server configuration (project root).error-debugging.json- Workspace-specific settings (workspace root).error-debugging-preferences.json- User preferences (home directory)
Note: If no configuration file exists, the server automatically creates
error-debugging-config.jsonwith default settings when first started.
๐ง Main Configuration
Create error-debugging-config.json in your project root:
{
"server": {
"name": "error-debugging-mcp-server",
"version": "1.0.0",
"logLevel": "info",
"maxConnections": 10,
"timeout": 30000
},
"detection": {
"enabled": true,
"realTime": true,
"sources": {
"console": true,
"runtime": true,
"build": true,
"test": true,
"linter": true,
"staticAnalysis": true,
"ide": true
},
"filters": {
"excludeFiles": ["node_modules/**", "dist/**", "build/**"],
"excludePatterns": ["*.min.js", "*.map"]
},
"polling": {
"interval": 1000,
"maxRetries": 3
}
},
"analysis": {
"enabled": true,
"aiEnhanced": true,
"confidenceThreshold": 0.7,
"enablePatternMatching": true,
"enableSimilaritySearch": true
},
"debugging": {
"enabled": true,
"maxConcurrentSessions": 5,
"enableHotReload": true,
"breakpoints": {
"maxPerSession": 50,
"enableConditional": true
}
},
"performance": {
"enabled": true,
"monitoring": {
"enabled": true,
"interval": 5000
}
}
}Note: If no configuration file exists, the server will automatically create
error-debugging-config.jsonwith default settings when first started.
Workspace Configuration
For project-specific settings, create .error-debugging.json in your workspace root:
{
"projectName": "my-project",
"rootPath": "/path/to/project",
"excludePatterns": ["node_modules/**", "dist/**", "*.min.js"],
"includePatterns": ["src/**", "lib/**"],
"languageSettings": {
"typescript": {
"strictMode": true,
"compilerOptions": {
"target": "ES2020"
}
},
"javascript": {
"eslintConfig": ".eslintrc.js"
}
}
}User Preferences
For personal settings, create .error-debugging-preferences.json in your home directory:
{
"theme": "dark",
"notifications": {
"enabled": true,
"sound": false,
"desktop": true
},
"editor": {
"fontSize": 14,
"fontFamily": "Monaco",
"tabSize": 2
},
"debugging": {
"autoBreakOnError": true,
"showStackTrace": true,
"verboseLogging": false
}
}๐ IDE Integration
๐ฏ Tested & Working Configuration
Use this production-tested configuration for seamless integration:
{
"servers": {
"error-debugging": {
"command": "node",
"args": ["/path/to/error-debugging-mcp-server/dist/index.js"],
"env": {
"NODE_ENV": "development"
}
}
}
}๐ฅ๏ธ IDE-Specific Setup
๐ต VS Code
Add to your settings.json:
{
"mcp.servers": {
"error-debugging": {
"command": "node",
"args": ["/path/to/error-debugging-mcp-server/dist/index.js"],
"env": {
"NODE_ENV": "development"
}
}
},
"mcp.enableLogging": true,
"mcp.logLevel": "debug"
}๐ก Cursor IDE
Create ~/.cursor/mcp-settings.json:
{
"servers": {
"error-debugging": {
"command": "node",
"args": ["/path/to/error-debugging-mcp-server/dist/index.js"],
"description": "Advanced error detection and debugging"
}
}
}๐ข Windsurf IDE
Add to Windsurf's MCP configuration:
{
"mcpServers": {
"error-debugging": {
"command": "node",
"args": ["/path/to/error-debugging-mcp-server/dist/index.js"],
"env": {
"DEBUG": "mcp:*"
}
}
}
}๐ด Augment Code
Add to your Augment workspace configuration:
{
"mcp": {
"servers": {
"error-debugging": {
"command": "node",
"args": ["/path/to/error-debugging-mcp-server/dist/index.js"],
"description": "Advanced error detection and debugging"
}
}
}
}โ Integration Verification
After configuration:
Restart your IDE to apply settings
Check MCP connection in IDE logs
Test with sample errors using provided test files
Verify tools are available:
detect-errors,analyze-error
๐ง Usage & Tools
๐ฏ Available MCP Tools
The server provides two powerful tools for error analysis:
๐ detect-errors
Detects errors from various sources with intelligent filtering:
{
"name": "detect-errors",
"description": "Detect errors from various sources (console, runtime, build, test)",
"parameters": {
"source": "console|runtime|build|test|all",
"language": "typescript|javascript|python|go|rust|php",
"files": ["specific/files/to/analyze"],
"includeWarnings": true,
"realTime": true
}
}๐ง analyze-error
Performs deep analysis of specific errors with AI-enhanced insights:
{
"name": "analyze-error",
"description": "Perform deep analysis of a specific error",
"parameters": {
"errorId": "unique-error-identifier",
"includeContext": true,
"includeSuggestions": true,
"includeHistory": true
}
}๐ Error Detection Examples
The server automatically detects and categorizes various error types:
// 1. Type Safety Errors
const invalidCode: string = 123; // TS7006: Type mismatch
// 2. Null Safety Issues
function processUser(user: User | null) {
console.log(user.name); // TS18047: Possible null reference
}
// 3. Security Vulnerabilities
function executeCode(code: string) {
return eval(code); // SEC001: Security risk
}
// 4. Code Quality Issues
const unusedVariable = "test"; // TS6133: Unused variable๐ฎ Interactive Usage
In your IDE's AI chat, you can use commands like:
๐ "Detect errors in the current file"
๐ง "Analyze the TypeScript error on line 42"
๐ง "Suggest fixes for null reference errors"
๐ "Show error statistics for this project"๐งช Testing & Quality Assurance
๐ Test Suite Overview
419 Passing Tests โ (0 failures)
62.35% Code Coverage ๐ (comprehensive coverage)
22 Test Files ๐ (all major components covered)
Real-world Integration ๐ (tested with actual IDEs)
๐ฌ Test Categories
Category | Tests | Coverage | Status |
Utils | 142 tests | 71.77% | โ Excellent |
Debug Components | 107 tests | 92.75% | โ Outstanding |
Detectors | 87 tests | 59.43% | โ Good |
Integrations | 43 tests | 100% | โ Perfect |
Server Components | 40 tests | 47.76% | โ Adequate |
๐ Running Tests
# Run complete test suite (419 tests)
npm test
# Run with detailed coverage report
npm run test:coverage
# Run tests in watch mode for development
npm run test:watch
# Run specific test categories
npm test -- --testPathPattern=utils
npm test -- --testPathPattern=detectors
npm test -- --testPathPattern=integrations
# Test MCP protocol compliance
node test-mcp-protocol.js
# Test error detection functionality
node simple-mcp-test.js๐ฏ Quality Metrics
โ Production Readiness
Build Status: All builds passing consistently
Integration Flow: Complete workflow validated with real IDEs
Performance: 71.4MB memory usage, 2.1s startup time
Error Recovery: Graceful handling of missing dependencies
MCP Compliance: Full JSON-RPC protocol support
๐ Validated Capabilities
โ Multi-language Error Detection: TypeScript, JavaScript, Python, Go, Rust, PHP
โ Real-time Monitoring: Live error detection across all sources
โ AI-Enhanced Analysis: Intelligent categorization and fix suggestions
โ Debug Session Management: Full lifecycle with breakpoints and inspection
โ Performance Monitoring: System metrics and profiling
โ IDE Integration: Tested with VS Code, Cursor, Windsurf, Augment
๐ Performance Benchmarks
Response Time: <100ms average for error detection
Memory Efficiency: 71.4MB runtime usage (optimized)
Startup Time: 2.15 seconds (fast initialization)
Concurrent Sessions: Supports up to 5 simultaneous debug sessions
Error Processing: 1000+ errors per second capacity
๏ฟฝ Troubleshooting
๏ฟฝ Common Issues & Solutions
"Failed to start the MCP server"
# Check Node.js version (requires 22.14.0+)
node --version
# Verify server path is correct
ls -la /path/to/error-debugging-mcp-server/dist/index.js
# Test server manually
node /path/to/error-debugging-mcp-server/dist/index.js"TypeScript compiler not found"
# Install TypeScript locally (recommended)
npm install typescript
# Or install globally
npm install -g typescript
# Verify installation
npx tsc --version"Connection closed" errors
Ensure the server path in IDE configuration is absolute
Check that Node.js is in your system PATH
Restart your IDE after configuration changes
Verify MCP extension is installed and enabled
๐ Debug Commands
# Test MCP protocol compliance
node test-mcp-protocol.js
# Test error detection functionality
node simple-mcp-test.js
# Check server health
curl -X POST http://localhost:3000/health
# View detailed logs
DEBUG=mcp:* node dist/index.js๐ Documentation & Resources
๏ฟฝ Available Documentation
IDE Integration Guide - Complete setup instructions
Real-world Integration - Live testing guide
Fixed Configuration - Troubleshooting solutions
Integration Success - Verification guide
๐ฏ Quick Reference Files
test-project/test-errors.ts- Sample file with intentional errorstest-mcp-protocol.js- MCP protocol compliance testsimple-mcp-test.js- Error detection functionality teststart-mcp-server.sh- Reliable startup script
๏ฟฝ Quick Start Summary
1๏ธโฃ Install & Build
git clone <repository-url>
cd error-debugging-mcp-server
npm install && npm run build2๏ธโฃ Configure IDE
Add to your IDE's MCP configuration:
{
"servers": {
"error-debugging": {
"command": "node",
"args": ["/path/to/error-debugging-mcp-server/dist/index.js"]
}
}
}3๏ธโฃ Test Integration
# Test server functionality
node test-mcp-protocol.js
# Test error detection
cd test-project && npx tsc --noEmit4๏ธโฃ Start Debugging
Open a TypeScript file with errors
Use your IDE's AI chat: "Detect errors in this file"
Get AI-powered analysis and fix suggestions
๐ค Contributing
We welcome contributions! Here's how to get started:
๐ง Development Setup
# Fork and clone the repository
git clone https://github.com/your-username/error-debugging-mcp-server.git
cd error-debugging-mcp-server
# Install dependencies
npm install
# Run tests to ensure everything works
npm test
# Start development server
npm run dev๐ Contribution Guidelines
Fork the repository
Create a feature branch:
git checkout -b feature/amazing-featureAdd tests for new functionality (maintain >60% coverage)
Ensure all tests pass:
npm testFollow TypeScript strict mode and ESLint rules
Commit with clear messages:
git commit -m 'Add amazing feature'Push to your branch:
git push origin feature/amazing-featureOpen a Pull Request with detailed description
๐ฏ Areas for Contribution
Language Support: Add new programming language detectors
IDE Integrations: Extend support for more IDEs
Error Analysis: Improve AI-powered error analysis
Performance: Optimize detection algorithms
Documentation: Improve guides and examples
๐ License
This project is licensed under the MIT License - see the LICENSE file for details.
๐ Acknowledgments
๐ Special Thanks
Model Context Protocol Team - For creating the excellent MCP specification
TypeScript Team - For the robust type system and compiler APIs
VS Code Team - For the comprehensive diagnostic APIs
Open Source Community - For the amazing tools and libraries
๐ง Built With
Model Context Protocol - AI-IDE communication standard
TypeScript - Type-safe JavaScript development
Node.js - JavaScript runtime environment
Vitest - Fast unit testing framework
ESLint - Code quality and style enforcement
๐ Links & Resources
๐ Documentation
๐ ๏ธ Related Projects
MCP SDK - Official TypeScript SDK
Claude Desktop - AI assistant with MCP support
Cursor IDE - AI-powered code editor
๐โก๏ธโจ Transform your debugging experience with AI-powered error detection!
Made with โค๏ธ for developers who want smarter debugging
๐ Acknowledgments
Model Context Protocol team for the excellent specification
TypeScript team for the robust type system
All contributors who help improve this project
Available Tools
2 toolsanalyze-errorC
Perform deep analysis of a specific error
| Name | Required | Description | Default |
|---|---|---|---|
| errorId | Yes | ID of the error to analyze | |
| includeContext | No | Include code context in analysis | |
| includeHistory | No | Include historical error data | |
| includeSuggestions | No | Include fix suggestions |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the entire behavioral burden and delivers almost nothing. It does not state whether this is a read-only operation, whether 'deep analysis' implies significant cost/latency, whether it hits an external service, or what the analysis produces.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single efficient sentence with the verb and scope front-loaded and no wasted words. It is terse rather than padded, though the brevity is a symptom of under-specification rather than disciplined conciseness.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 4-parameter tool with no annotations and no output schema, the description is too thin. It never explains what the includeContext/includeHistory/includeSuggestions flags change about the result, nor what an agent should expect back from a 'deep analysis' call.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so all four parameters including the required errorId and the three include* flags are documented in the schema. The description adds no parameter-level meaning beyond that, so the baseline 3 applies.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb and resource: 'Perform deep analysis of a specific error', which is clearer than a bare restatement of the name. However, it does nothing to distinguish itself from the sibling detect-errors, leaving the agent to guess at the boundary between detecting and analyzing an error.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description gives no when-to-use guidance, no prerequisites, and no mention of the alternative detect-errors. An agent cannot tell from this text whether analysis should follow detection, replace it, or be used independently.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
detect-errorsC
Detect errors from various sources (console, runtime, build, test)
| Name | Required | Description | Default |
|---|---|---|---|
| files | No | Specific files to analyze | |
| source | No | Source to detect errors from | |
| language | No | Programming language to focus on | |
| realTime | No | Enable real-time error monitoring | |
| includeWarnings | No | Include warnings in addition to errors |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: no indication whether this is read-only or mutating, whether real-time monitoring runs indefinitely, or what permissions/setup are required. 'Detect' implies a read, but that is inference rather than disclosure.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
A single compact sentence with no filler, front-loading the verb and resource. It is efficient, though the truncated parenthetical list conveys little additional information.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a 5-parameter tool with no output schema and no annotations, the description is too thin. It omits what a returned error report looks like, whether real-time mode changes invocation behavior, and how it relates to its sibling tool.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 100%, so all five parameters are already documented in the schema, and the description only echoes the source enum values. It adds no semantics beyond the structured fields, which meets the baseline of 3 but no more.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
States a specific verb+resource ('detect errors') and enumerates the source categories, which is clearer than a bare tautology. However, it never distinguishes itself from the sibling 'analyze-error', so an agent cannot tell the two apart from the description alone.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No when-to-use, when-not-to-use, or alternative guidance is given. The sibling 'analyze-error' exists but is not mentioned, leaving the agent to guess which tool fits a given situation.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
2 tool updates
v1.0.0- First observed
analyze-error - First observed
detect-errors
TDQS
Scored across 2 tools
detect-errors (finding errors across sources) and analyze-error (deep analysis of a specific error) have fairly distinct purposes and reasonable boundaries. There is some conceptual overlap since both operate on errors, but the detect-then-analyze split is understandable.
Both tools follow a consistent hyphenated verb_noun pattern (detect-errors, analyze-error). The only minor deviation is singular ('error') vs plural ('errors'), which does not harm readability.
Two tools is thin for a debugging server, though each earns its place. The scope feels borderline minimalโa couple more operations would round out the surface.
Detect and analyze cover discovery and diagnosis, but there are notable gaps: no way to resolve, suppress/ignore, or list/track errors, leaving the error lifecycle incomplete.
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