OpenDiscourse MCP

# Software Requirements Specification (SRS) ## 1. Introduction ### 1.1 Purpose This document defines the software requirements for the Congress.gov and GovInfo.gov MCP (Model Context Protocol) servers. These servers are designed to ingest, process, and provide access to bulk government data through standardized MCP interfaces. ### 1.2 Scope The project consists of two separate MCP servers: - **Congress.gov MCP Server**: For congressional data including legislation, members, committees, and voting records - **GovInfo.gov MCP Server**: For government publications including federal register, congressional record, and presidential documents ### 1.3 Definitions and Acronyms - **MCP**: Model Context Protocol - A standardized interface for AI tools - **API**: Application Programming Interface - **TUI**: Text-based User Interface - **PyPI**: Python Package Index - **NPM**: Node Package Manager ## 2. Overall Description ### 2.1 Product Perspective These MCP servers are standalone components that can be: - Integrated into larger AI systems via MCP protocol - Deployed as microservices in containerized environments - Distributed as Python packages (PyPI) and JavaScript packages (NPM) - Used as CLI tools with optional TUI interfaces ### 2.2 Product Features - **Data Ingestion**: Bulk download and incremental updates from source APIs - **Data Processing**: Normalization, transformation, and enrichment - **Configuration Management**: Global and environment-specific settings - **Performance Optimization**: Concurrent processing and batch operations - **Error Handling**: Comprehensive logging and recovery mechanisms ### 2.3 User Classes - **Developers**: Integrate MCP servers into applications - **Data Analysts**: Access processed government data - **System Administrators**: Deploy and maintain servers - **End Users**: Consume data through MCP interfaces ### 2.4 Operating Environment - **Python 3.8+** for core implementation - **Node.js 14+** for TypeScript distribution - **Docker** for containerized deployment - **Multiple OS**: Linux, macOS, Windows support ### 2.5 Design Constraints - **Separation of Concerns**: Congress.gov and GovInfo.gov logic must be completely separate - **No Hardcoded Secrets**: All credentials must be configurable - **Modular Architecture**: Support for additional data sources via plugins - **Performance Requirements**: Handle large datasets efficiently ## 3. Functional Requirements ### 3.1 Congress.gov MCP Server Requirements #### 3.1.1 Data Ingestion - **FR-CONG-001**: Download legislation data (bills, resolutions, amendments) - **FR-CONG-002**: Fetch congressional member information - **FR-CONG-003**: Retrieve committee data and activities - **FR-CONG-004**: Access voting records and roll call data - **FR-CONG-005**: Get hearings and meeting information #### 3.1.2 Data Processing - **FR-CONG-010**: Normalize data to consistent internal format - **FR-CONG-011**: Transform raw data with configurable rules - **FR-CONG-012**: Enrich data with additional metadata - **FR-CONG-013**: Filter data based on user-defined criteria #### 3.1.3 API Integration - **FR-CONG-020**: Integrate with congress.gov API - **FR-CONG-021**: Support ProPublica Congress API (optional) - **FR-CONG-022**: Handle API rate limiting and throttling - **FR-CONG-023**: Implement retry logic for failed requests ### 3.2 GovInfo.gov MCP Server Requirements #### 3.2.1 Data Ingestion - **FR-GOV-001**: Download Federal Register documents - **FR-GOV-002**: Retrieve Congressional Record data - **FR-GOV-003**: Access presidential documents and executive orders - **FR-GOV-004**: Get regulatory documents and notices - **FR-GOV-005**: Fetch court opinions and decisions #### 3.2.2 Data Processing - **FR-GOV-010**: Classify documents by type and content - **FR-GOV-011**: Extract comprehensive metadata from documents - **FR-GOV-012**: Enable full-text search capabilities - **FR-GOV-013**: Track document versions and revisions #### 3.2.3 API Integration - **FR-GOV-020**: Integrate with govinfo.gov API - **FR-GOV-021**: Handle API authentication and authorization - **FR-GOV-022**: Implement data pagination for large results - **FR-GOV-023**: Support custom data source integration ### 3.3 Shared Requirements #### 3.3.1 Configuration - **FR-SHARED-001**: Global settings file for common configuration - **FR-SHARED-002**: Environment-specific configuration support - **FR-SHARED-003**: Secure secret management for API keys - **FR-SHARED-004**: Configurable database connection strings #### 3.3.2 Performance - **FR-SHARED-010**: Support for concurrent connections (configurable) - **FR-SHARED-011**: Batch processing with configurable sizes - **FR-SHARED-012**: Memory-efficient data processing - **FR-SHARED-013**: Progress tracking and reporting #### 3.3.3 Error Handling - **FR-SHARED-020**: Comprehensive logging system - **FR-SHARED-021**: Error classification and handling - **FR-SHARED-022**: Automatic recovery mechanisms - **FR-SHARED-023**: Notification system for critical errors ## 4. Non-Functional Requirements ### 4.1 Performance Requirements - **NFR-001**: Process 10,000+ documents per hour - **NFR-002**: Support 50+ concurrent API connections - **NFR-003**: Memory usage < 2GB for typical workloads - **NFR-004**: Response time < 500ms for MCP tool calls ### 4.2 Security Requirements - **NFR-010**: No hardcoded credentials in source code - **NFR-011**: Encryption for sensitive data at rest - **NFR-012**: Secure transmission of all data - **NFR-013**: Role-based access control support ### 4.3 Quality Attributes - **NFR-020**: 95%+ test coverage for core functionality - **NFR-021**: Comprehensive documentation - **NFR-022**: Backward compatibility for major versions - **NFR-023**: Internationalization support ### 4.4 Compliance Requirements - **NFR-030**: Follow Python best practices (PEP 8) - **NFR-031**: Use Pydantic for data validation - **NFR-032**: TypeScript type safety for NPM package - **NFR-033**: Docker best practices for containerization ## 5. External Interface Requirements ### 5.1 User Interfaces - **UI-001**: CLI interface for both MCP servers - **UI-002**: Optional TUI for interactive use - **UI-003**: MCP protocol interface for AI integration ### 5.2 Hardware Interfaces - **HI-001**: Standard x86_64 architecture support - **HI-002**: Minimum 4GB RAM recommended - **HI-003**: 10GB+ disk space for data storage ### 5.3 Software Interfaces - **SI-001**: Python 3.8+ runtime - **SI-002**: Node.js 14+ for TypeScript version - **SI-003**: Docker 20.10+ for container deployment - **SI-004**: Database support (PostgreSQL, SQLite) ### 5.4 Communications Interfaces - **CI-001**: HTTP/HTTPS for API communications - **CI-002**: MCP protocol over standard I/O - **CI-003**: RESTful API endpoints for integration ## 6. System Features ### 6.1 Deployment Options - **SF-001**: PyPI package installation - **SF-002**: NPM package installation - **SF-003**: Docker container deployment - **SF-004**: Direct source code deployment ### 6.2 Configuration Management - **SF-010**: Global settings file (`config/global_settings.py`) - **SF-011**: Environment variables support - **SF-012**: .env file support for secrets - **SF-013**: Configuration validation ### 6.3 Monitoring and Maintenance - **SF-020**: Health check endpoints - **SF-021**: Performance metrics collection - **SF-022**: Log rotation and management - **SF-023**: Update notification system ## 7. Other Requirements ### 7.1 Documentation Requirements - **DR-001**: Complete API documentation - **DR-002**: Installation and setup guides - **DR-003**: Usage examples and tutorials - **DR-004**: Troubleshooting guides ### 7.2 Internationalization - **IR-001**: Unicode support for all text processing - **IR-002**: Timezone-aware date handling - **IR-003**: Locale-specific formatting support ### 7.3 Legal Requirements - **LR-001**: Compliance with government data usage policies - **LR-002**: Proper attribution of data sources - **LR-003**: Open source license compliance ## 8. Appendix ### 8.1 Glossary - **MCP Server**: Model Context Protocol server providing standardized AI tool interfaces - **Bulk Data**: Large datasets downloaded in batch operations - **Incremental Update**: Fetching only new or changed data since last update - **Data Normalization**: Converting data to consistent internal formats ### 8.2 References - Congress.gov API Documentation - GovInfo.gov API Documentation - MCP Protocol Specification - Python Packaging User Guide - Docker Documentation