# Progress: PRD Creator MCP Server
## What Works
- **Core MCP Server**: Basic server setup, STDIO transport, and request handling are functional.
- **Template-Based PRD Generation**: The original `generate_prd` functionality using template substitution (`TemplateFallbackProvider`) is working.
- **AI-Driven PRD Generation**: Integrated OpenAI provider with metrics (PRDs generated, AI calls counted, fallback tracking).
- **PRD Validation**: The `validate_prd` tool and custom validation-rule management tools (`list_all_rules`, `add_validation_rule`, `update_validation_rule`, `delete_validation_rule`) are functional.
- **Template Management**: Full CRUD and import/export support via `create_template`, `list_templates`, `get_template`, `update_template`, `delete_template`, `export_templates`, `import_templates` tools.
- **Provider Configuration**: Dynamic provider overrides are stored and retrieved via `get_provider_config` and `update_provider_config` tools.
- **Template Preview**: `render_template` tool performs placeholder substitution without AI.
- **System Diagnostics**: `health_check` (DB connectivity & provider status) and `get_logs` (tail logs) tools work as expected.
- **Usage Metrics**: `stats` tool reports counters from the `metrics` table (PRS generated, fallbacks, template creates, AI calls).
- **Memory Bank Update**: Memory bank files have been reviewed and updated for accuracy and completeness.
## What's Left to Build / Implement
1. **Gemini Provider**: Implement API integration for Google Gemini.
2. **Anthropic Provider**: Implement API integration for Anthropic Claude.
3. **Local Model Provider**: Define standard interaction with local LLM services (Ollama, LM Studio).
4. **Testing**: Cover all new tools and storage modules with unit and integration tests.
5. **Prompt Engineering**: Refine AI prompts across providers for optimal PRD quality.
6. **Advanced Error Handling**: Enhance error logic, especially around provider rate limits and schema validation.
## Current Status
- The core functionality for AI-driven PRD generation with multiple providers is architecturally complete.
- OpenAI is fully functional as an AI provider.
- Other AI providers are stubbed and require implementation.
- The system successfully falls back to template-based generation if AI providers are unavailable or not configured.
- All Memory Bank files are accurate and up to date.
## Known Issues
- **Stub Providers**: Gemini, Anthropic, and Local providers remain stubs and will throw not-implemented errors.
- **Testing Gaps**: Several new tools lack automated tests.
- **Migration Idempotence**: Database migrations for `deleted`, `validation_rules`, and `metrics` are idempotent but currently untested.
- **Log File Paths**: `get_logs` defaults to `combined.log`; rotating logs may require path adjustments.
- **Potential Linter Error**: An unresolved linter error `Cannot find module 'openai' or its corresponding type declarations.` exists in `src/core/ai-providers/openai-provider.ts` which might indicate a build or configuration issue that needs investigation (though `npm install openai` was run).
- **Environment File Creation**: Copy `.env.template` to `.env` and configure it based on README instructions.