Smart Configuration Validator MCP Server

An intelligent MCP (Model Context Protocol) server that validates and suggests configuration improvements, preventing hours of configuration debugging while ensuring optimal, secure, and compliant configurations across microservices architectures.

Features

• Intelligent Configuration Validation: Context-aware validation with comprehensive error detection
• Security Analysis: OWASP, NIST, and ISO 27001 compliance checking
• Performance Analysis: Bottleneck detection and optimization suggestions
• Drift Detection: Configuration drift monitoring between environments
• Optimization Recommendations: Best practice suggestions for improved configurations

Installation

npm install @gc-mcp/smart-configuration-validator

Usage

As MCP Server

npx mcp-config-validator

Programmatic Usage

import { SmartConfigurationValidatorServer } from "@gc-mcp/smart-configuration-validator";

const server = new SmartConfigurationValidatorServer();
await server.run();

Tools

1. validate_configuration_intelligence

Intelligently validate configuration with context awareness.

Parameters:

• config (object): Configuration object to validate
• context (object): Validation context (service, environment, deployment_type, team_preferences)
• validation_level (string): Validation depth (basic, comprehensive, security_focused, performance_focused)
• include_suggestions (boolean): Include optimization suggestions

2. suggest_configuration_optimizations

Suggest configuration optimizations based on best practices.

Parameters:

• config (object): Current configuration
• optimization_goals (array): Goals (performance, security, reliability, maintainability, cost)
• constraints (object): Implementation constraints
• target_environment (string): Target environment (development, staging, production)

3. detect_configuration_drift

Detect configuration drift between environments.

Parameters:

• actual_config (object): Current configuration
• expected_config (object): Expected configuration
• drift_tolerance (string): Tolerance level (strict, moderate, lenient)
• include_analysis (boolean): Include detailed drift analysis

4. analyze_security_implications

Analyze security implications of configuration.

Parameters:

• config (object): Configuration to analyze
• security_standards (array): Security standards to check against
• threat_model (object): Threat model for analysis
• compliance_requirements (array): Compliance requirements to check

5. recommend_configuration_standards

Recommend configuration standards and best practices.

Parameters:

• service_type (string): Type of service (microservice, database, etc.)
• industry_standards (array): Industry standards to follow
• team_preferences (object): Team-specific preferences and constraints
• compliance_requirements (array): Compliance requirements

Configuration

Set environment variables to configure the server:

# Validation Configuration
VALIDATION_STRICT_MODE=true
SECURITY_ANALYSIS_ENABLED=true
PERFORMANCE_ANALYSIS_ENABLED=true

# Schema Configuration
SCHEMA_CACHE_ENABLED=true
SCHEMA_UPDATE_FREQUENCY=daily
CUSTOM_SCHEMAS_PATH=./schemas

# Drift Detection
DRIFT_TOLERANCE=moderate
DRIFT_ANALYSIS_DEPTH=deep
AUTO_REMEDIATION_ENABLED=false

# Security Configuration
SECURITY_STANDARDS=OWASP,NIST
COMPLIANCE_REQUIREMENTS=GDPR,SOX

# Performance Configuration
PERFORMANCE_RESPONSE_TIME=500
PERFORMANCE_THROUGHPUT=100
PERFORMANCE_MEMORY_USAGE=1024

# Logging Configuration
LOG_LEVEL=info
ENABLE_DETAILED_LOGGING=false

Examples

Basic Configuration Validation

const result = await validateConfigurationIntelligence({
  config: {
    database_url: "postgresql://localhost:5432/test",
    port: 3000,
    timeout: 5000,
  },
  context: {
    service: "user-service",
    environment: "production",
    deployment_type: "kubernetes",
  },
  validation_level: "comprehensive",
  include_suggestions: true,
});

Security Analysis

const result = await analyzeSecurityImplications({
  config: {
    password: "weak",
    https: false,
    encryption: "none",
  },
  security_standards: ["OWASP", "NIST"],
  compliance_requirements: ["GDPR"],
});

Performance Optimization

const result = await suggestConfigurationOptimizations({
  config: {
    connection_pool_size: 3,
    cache_size: 50,
    timeout: 60000,
  },
  optimization_goals: ["performance", "security"],
  constraints: {
    max_changes: 5,
    risk_tolerance: "medium",
  },
});

Drift Detection

const result = await detectConfigurationDrift({
  actual_config: {
    database_url: "postgresql://localhost:5432/test",
    port: 8080,
  },
  expected_config: {
    database_url: "postgresql://localhost:5432/test",
    port: 3000,
    timeout: 5000,
  },
  drift_tolerance: "moderate",
});

Development

Setup

npm install
npm run build

Testing

npm test
npm run test:e2e

Linting

npm run lint
npm run lint:fix

Docker

# Build
docker build -t mcp-config-validator-server .

# Run
docker run --rm -p 3000:3000 mcp-config-validator-server

License

MIT

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

Support

• GitHub Issues: Report issues
• Documentation: Full documentation