MCP Server for Splunk

# Contributing to MCP Server for Splunk Welcome to the community! We're excited to have you contribute to making AI and Splunk integration accessible to everyone. ## 🌟 Why Contribute? - **Impact**: Help thousands of developers integrate AI with Splunk - **Learning**: Gain experience with MCP, FastMCP, and Splunk technologies - **Community**: Join a growing community of AI and Splunk enthusiasts - **Recognition**: Get credit for your contributions in our documentation ## 🚀 Quick Start for Contributors ### 1. Set Up Development Environment ```bash # Fork and clone the repository git clone https://github.com/deslicer/mcp-for-splunk.git cd mcp-for-splunk # Set up development environment ./scripts/build_and_run.sh --dev ``` ### 2. Explore the Codebase ```bash # Browse existing tools for inspiration ./contrib/scripts/list_tools.py --interactive # Understand the structure tree src/tools/ contrib/tools/ ``` ### 3. Create Your First Tool ```bash # Interactive tool generator ./contrib/scripts/generate_tool.py # Follow the prompts to create a new tool # Test your tool ./contrib/scripts/validate_tools.py ``` ## 🛠️ Contribution Types ### 🔧 New Tools **What we're looking for:** - Security and threat hunting tools - DevOps and monitoring capabilities - Analytics and reporting features - Integration helpers and utilities **Popular contribution ideas:** - User behavior analysis tools - Performance monitoring dashboards - Automated incident response workflows - Custom search and alerting capabilities ### 📚 Documentation **Always needed:** - Usage examples and tutorials - Integration guides for new AI clients - Best practices and patterns - Translation to other languages ### 🐛 Bug Fixes **High-impact areas:** - Splunk API compatibility issues - Tool error handling improvements - Performance optimizations - Test coverage enhancements ### 💡 Feature Enhancements **Welcome improvements:** - Better error messages and debugging - New MCP protocol features - Enhanced configuration options - Performance optimizations ## 📝 Tool Development Guide ### Tool Structure Every tool follows this pattern: ```python # contrib/tools/category/my_tool.py from src.core.base import BaseTool, ToolMetadata from fastmcp import Context class MyTool(BaseTool): """Brief description of what this tool does.""" METADATA = ToolMetadata( name="my_tool", description="Detailed description for AI agents", category="security", # security, devops, analytics, examples tags=["security", "analysis"], requires_connection=True, version="1.0.0" ) async def execute(self, ctx: Context, **kwargs) -> dict: """Execute the tool logic.""" try: # Your tool logic here result = await self.do_something(kwargs) return self.format_success_response(result) except Exception as e: return self.format_error_response(str(e)) ``` ### Best Practices **✅ Do:** - Include comprehensive docstrings - Handle errors gracefully - Validate input parameters - Use descriptive parameter names - Include usage examples - Test with different Splunk configurations - Follow existing code patterns **❌ Don't:** - Store credentials in code - Use blocking I/O operations - Ignore error cases - Create overly complex tools - Skip input validation - Hard-code Splunk-specific values ### Tool Categories #### 🛡️ Security Tools Focus on threat hunting, incident response, and security analysis. **Examples:** - Suspicious user activity detection - IOC (Indicator of Compromise) searching - Threat intelligence integration - Security event correlation **Template:** ```python class ThreatHuntingTool(BaseTool): METADATA = ToolMetadata( name="hunt_threats", description="Hunt for security threats using IOCs and behavioral patterns", category="security", tags=["security", "threat-hunting", "ioc"], requires_connection=True ) async def execute(self, ctx: Context, indicators: list[str], time_range: str = "-24h") -> dict: # Threat hunting logic pass ``` #### ⚙️ DevOps Tools Monitoring, alerting, and operational intelligence. **Examples:** - Performance monitoring - Capacity planning analysis - Error rate tracking - Service dependency mapping **Template:** ```python class PerformanceMonitorTool(BaseTool): METADATA = ToolMetadata( name="monitor_performance", description="Monitor application performance metrics and trends", category="devops", tags=["monitoring", "performance", "metrics"], requires_connection=True ) async def execute(self, ctx: Context, service_name: str, metric_type: str = "response_time") -> dict: # Performance monitoring logic pass ``` #### 📈 Analytics Tools Business intelligence, reporting, and data analysis. **Examples:** - KPI dashboards - Trend analysis - Predictive analytics - Custom reporting **Template:** ```python class BusinessAnalyticsTool(BaseTool): METADATA = ToolMetadata( name="analyze_business_metrics", description="Analyze business KPIs and generate insights", category="analytics", tags=["analytics", "business", "kpi"], requires_connection=True ) async def execute(self, ctx: Context, metric_name: str, analysis_type: str = "trend") -> dict: # Analytics logic pass ``` ## 🧪 Testing Your Contributions ### Automated Testing ```bash # Run all tests make test # Test only your contributions make test-contrib # Run with coverage uv run pytest --cov=contrib tests/contrib/ ``` ## 🔍 Code Quality ### Pre-commit Hooks Keep formatting and linting consistent automatically. ```bash # Install git hooks uv run pre-commit install # Run on all files (CI equivalent) uv run pre-commit run --all-files # Update hooks to latest pinned versions uv run pre-commit autoupdate ``` Hooks configured: - Black (formatting) - Ruff (lint, auto-fix) - End-of-file fixer - Trailing whitespace ### Manual Testing ```bash # Start development server ./scripts/build_and_run.sh --dev # Test via MCP Inspector open http://localhost:3001 # Test your specific tool ./contrib/scripts/test_contrib.py --tool my_tool ``` ### Validation Checklist - [ ] Tool follows naming conventions - [ ] All required metadata fields present - [ ] Error handling implemented - [ ] Input validation working - [ ] Documentation complete - [ ] Tests pass - [ ] No hardcoded credentials - [ ] Follows project style guide ## 📋 Submission Process ### 1. Create a Branch ```bash # Create feature branch git checkout -b feature/my-awesome-tool # Or for bug fixes git checkout -b fix/issue-description ``` ### 2. Implement Your Changes ```bash # Create your tool ./contrib/scripts/generate_tool.py # Test thoroughly ./contrib/scripts/validate_tools.py make test-contrib # Document your changes # Update contrib/README.md if needed ``` ### 3. Submit Pull Request **Pull Request Template:** ```markdown ## Description Brief description of changes and motivation. ## Type of Change - [ ] New tool - [ ] Bug fix - [ ] Documentation update - [ ] Feature enhancement ## Tool Details (if applicable) - **Name**: tool_name - **Category**: security/devops/analytics - **Description**: What it does - **Splunk Requirements**: Any specific Splunk setup needed ## Testing - [ ] Tool validated with validation script - [ ] Tested with MCP Inspector - [ ] Unit tests added/updated - [ ] Documentation updated ## Checklist - [ ] Code follows project style guidelines - [ ] Self-review completed - [ ] Documentation updated - [ ] Tests pass ``` ### 4. Code Review Process **What to expect:** 1. **Automated checks**: Style, tests, validation 2. **Community review**: Other contributors provide feedback 3. **Maintainer review**: Final review by project maintainers 4. **Merge**: Once approved, your contribution is merged! ## 👥 Community Guidelines ### Code of Conduct We are committed to providing a welcoming and inclusive environment: - **Be respectful**: Treat everyone with kindness and respect - **Be constructive**: Provide helpful feedback and suggestions - **Be collaborative**: Work together towards common goals - **Be patient**: Remember that everyone is learning ### Communication Channels - **GitHub Issues**: Bug reports and feature requests - **GitHub Discussions**: General questions and community chat - **Pull Requests**: Code review and collaboration - **Documentation**: Contribute to guides and examples ### Recognition Contributors are recognized in: - Project README and documentation - Release notes for their contributions - Community showcases and examples - Annual contributor acknowledgments ## 🎯 Priority Areas ### High-Impact Contributions **Most needed right now:** 1. **Security tools** for threat hunting and incident response 2. **Integration examples** for popular AI frameworks 3. **Performance optimizations** for large-scale deployments 4. **Documentation** for complex use cases **Future roadmap:** 1. **Advanced analytics** tools and visualizations 2. **Machine learning** integration capabilities 3. **Real-time streaming** data processing 4. **Multi-cloud** deployment patterns ### Beginner-Friendly Tasks **Good first contributions:** - Documentation improvements - Example tool implementations - Test coverage enhancements - Bug fixes with clear reproduction steps **Look for issues labeled:** - `good-first-issue` - `documentation` - `beginner-friendly` - `help-wanted` ## 🔧 Development Tools ### Available Scripts ```bash # Development helpers ./contrib/scripts/generate_tool.py # Interactive tool creator ./contrib/scripts/list_tools.py # Browse existing tools ./contrib/scripts/validate_tools.py # Validate tool implementation ./contrib/scripts/test_contrib.py # Test community tools # Testing and validation make test # Run all tests make test-contrib # Test contributions only make test-fast # Quick development tests make lint # Code style checks ``` ### Development Environment **Required tools:** - Python 3.10+ - UV package manager - Git **Optional tools:** - Docker (for full stack testing) - Node.js (for MCP Inspector) **IDE setup:** - VSCode with Python extension - PyCharm with FastMCP plugin - Vim/Neovim with Python LSP ## 🎉 Success Stories ### Featured Contributions **Community highlights:** - **@contributor1**: Created the threat hunting toolkit with 5 security tools - **@contributor2**: Added comprehensive Kubernetes deployment guides - **@contributor3**: Optimized search performance by 40% **Impact metrics:** - 50+ community-contributed tools - 1000+ developers using community tools - 24/7 community support and maintenance ### How Your Contribution Helps Every contribution makes a difference: - **Tools**: Help organizations improve their security and operations - **Documentation**: Enable new users to get started quickly - **Bug fixes**: Improve reliability for everyone - **Examples**: Teach others best practices and patterns --- **Ready to contribute?** 🚀 Start with our [interactive tool generator](../../contrib/scripts/generate_tool.py) or browse [existing tools](../../contrib/tools/) for inspiration! **Questions?** Join our [GitHub Discussions](https://github.com/deslicer/mcp-server-for-splunk/discussions) - the community is here to help!