# Context Transfer Summary - SAP Datasphere MCP Server Project

**Date**: December 9, 2025  
**Session**: Context transfer for continuation  
**Project**: SAP Datasphere MCP Server - Phased Extraction Plan

---

## Project Overview

Building a comprehensive SAP Datasphere MCP Server with **50 tools** across **8 phases**. The project follows AWS MCP Servers standards using FastMCP framework, Python 3.10+, and Ruff linting.

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## Current Status: 6 of 8 Phases Documented ✅

### ✅ COMPLETED PHASES (25 tools documented)

#### Phase 2.1: Catalog Browsing Tools (4 tools) ✅
- **Files**: `SAP_DATASPHERE_CATALOG_TOOLS_SPEC.md`, `MCP_TOOL_GENERATION_PROMPT.md`
- **Tools**: `list_catalog_assets`, `get_asset_details`, `get_asset_by_compound_key`, `get_space_assets`

#### Phase 2.2: Universal Search Tools (3 tools) ✅
- **Files**: `SAP_DATASPHERE_SEARCH_TOOLS_SPEC.md`, `MCP_SEARCH_TOOLS_GENERATION_PROMPT.md`
- **Tools**: `search_catalog`, `search_repository`, `get_catalog_metadata`

#### Phase 3.1: Metadata Extraction Tools (4 tools) ✅
- **Files**: `SAP_DATASPHERE_METADATA_TOOLS_SPEC.md`, `MCP_METADATA_TOOLS_GENERATION_PROMPT.md`
- **Tools**: `get_consumption_metadata`, `get_analytical_metadata`, `get_relational_metadata`, `get_repository_search_metadata`

#### Phase 3.2: Repository Object Discovery (3 tools) ✅
- **Files**: `SAP_DATASPHERE_REPOSITORY_TOOLS_SPEC.md`, `MCP_REPOSITORY_TOOLS_GENERATION_PROMPT.md`
- **Tools**: `list_repository_objects`, `get_object_definition`, `get_deployed_objects`

#### Phase 4.1: Analytical Model Access (4 tools) ✅
- **Files**: `SAP_DATASPHERE_ANALYTICAL_TOOLS_SPEC.md`, `MCP_ANALYTICAL_TOOLS_GENERATION_PROMPT.md`
- **Tools**: `list_analytical_datasets`, `get_analytical_model`, `query_analytical_data`, `get_analytical_service_document`

#### Phase 1.1 & 1.2: Foundation Tools (7 tools) ✅ **JUST COMPLETED**
- **Files**: `SAP_DATASPHERE_FOUNDATION_TOOLS_SPEC.md`, `MCP_FOUNDATION_TOOLS_GENERATION_PROMPT.md`
- **Phase 1.1 Tools**: `test_connection`, `get_current_user`, `get_tenant_info`, `get_available_scopes`
- **Phase 1.2 Tools**: `list_spaces`, `get_space_info`, `search_tables`

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### ⏳ REMAINING PHASES (25 tools to document)

#### Phase 5.1: Relational Data Access (4 tools) - HIGH PRIORITY
- **Status**: NOT STARTED
- **Tools**: `list_relational_datasets`, `get_relational_table`, `query_relational_data`, `get_relational_service_document`
- **Estimated Time**: 4-5 days
- **Note**: Similar to Phase 4.1 but for row-level data access

#### Phase 6.1: KPI Discovery & Analysis (3 tools) - MEDIUM PRIORITY
- **Status**: NOT STARTED
- **Tools**: `search_kpis`, `get_kpi_details`, `list_all_kpis`
- **Estimated Time**: 3-4 days

#### Phase 7.1: System Monitoring Tools (4 tools) - MEDIUM PRIORITY
- **Status**: NOT STARTED
- **Tools**: `get_systems_overview`, `search_system_logs`, `download_system_logs`, `get_system_log_facets`

#### Phase 7.2: User & Permission Management (3 tools) - LOW PRIORITY
- **Status**: NOT STARTED
- **Tools**: `list_users`, `get_user_permissions`, `get_user_details`

#### Phase 8.1: Data Sharing & Collaboration (3 tools) - LOW PRIORITY
- **Status**: NOT STARTED
- **Tools**: `list_partner_systems`, `get_marketplace_assets`, `get_data_product_details`

#### Phase 8.2: AI Features & Configuration (4 tools) - LOW PRIORITY
- **Status**: NOT STARTED
- **Tools**: `get_ai_feature_status`, `list_ai_features`, `get_guided_experience_config`, `get_security_config_status`

#### Phase 8.3: Legacy DWC API Support (4 tools) - LOW PRIORITY
- **Status**: NOT STARTED
- **Tools**: `dwc_list_catalog_assets`, `dwc_get_space_assets`, `dwc_query_analytical_data`, `dwc_query_relational_data`

---

## Key Files Created

### Master Planning Documents
1. ✅ `SAP_DATASPHERE_MCP_EXTRACTION_PLAN.md` - Complete 8-phase plan
2. ✅ `EXTRACTION_PLAN_STATUS.md` - Progress tracking
3. ✅ `CONTEXT_TRANSFER_SUMMARY.md` - This document

### Phase Documentation (6 phases complete)
1. ✅ `SAP_DATASPHERE_CATALOG_TOOLS_SPEC.md` + `MCP_TOOL_GENERATION_PROMPT.md`
2. ✅ `SAP_DATASPHERE_SEARCH_TOOLS_SPEC.md` + `MCP_SEARCH_TOOLS_GENERATION_PROMPT.md`
3. ✅ `SAP_DATASPHERE_METADATA_TOOLS_SPEC.md` + `MCP_METADATA_TOOLS_GENERATION_PROMPT.md`
4. ✅ `SAP_DATASPHERE_REPOSITORY_TOOLS_SPEC.md` + `MCP_REPOSITORY_TOOLS_GENERATION_PROMPT.md`
5. ✅ `SAP_DATASPHERE_ANALYTICAL_TOOLS_SPEC.md` + `MCP_ANALYTICAL_TOOLS_GENERATION_PROMPT.md`
6. ✅ `SAP_DATASPHERE_FOUNDATION_TOOLS_SPEC.md` + `MCP_FOUNDATION_TOOLS_GENERATION_PROMPT.md`

### Summary Documents
1. ✅ `PHASE_4_1_COMPLETION_SUMMARY.md`
2. ✅ `CONTEXT_TRANSFER_SUMMARY.md`

---

## Documentation Quality Standards

Each completed phase includes:
- ✅ Complete API endpoint specifications
- ✅ Request/response format examples
- ✅ OAuth2 authentication with token refresh
- ✅ Comprehensive error handling (401, 403, 404, 500)
- ✅ Ready-to-use Python implementations (FastMCP)
- ✅ Unit and integration test examples
- ✅ Real-world usage scenarios
- ✅ Performance considerations
- ✅ Security best practices
- ✅ Type hints and Ruff linting compliance

---

## Technical Implementation Details

### Framework Standards
- **Framework**: FastMCP (Python MCP framework)
- **Python**: 3.10+
- **Package Manager**: uv
- **Linting**: Ruff (99 char line length, Google docstrings, single quotes)
- **Type Hints**: Full annotations required
- **Return Format**: JSON strings for MCP compatibility

### Authentication Pattern
```python
# OAuth2 token management with auto-refresh
class OAuth2TokenManager:
    async def get_token(self) -> str:
        # Auto-refresh logic
    
    async def refresh_token(self) -> str:
        # Client credentials flow

@server.call_tool()
async def tool_name(...) -> list[types.TextContent]:
    token = await get_oauth_token()
    # Implementation
    return [types.TextContent(type='text', text=json.dumps(result))]
```

### Error Handling Pattern
```python
try:
    # API call
    response.raise_for_status()
    return success_response
except httpx.HTTPStatusError as e:
    if e.response.status_code == 401:
        # Refresh token and retry
    elif e.response.status_code == 403:
        # Permission error
    # etc.
```

---

## API Endpoints Documented

### Core Datasphere APIs
- `/api/v1/datasphere/consumption/catalog/*` - Catalog browsing
- `/api/v1/datasphere/consumption/analytical/*` - Analytical data
- `/api/v1/datasphere/consumption/relational/*` - Relational data (Phase 5.1)
- `/deepsea/repository/*` - Repository objects
- `/api/v1/tenant` - Tenant information

### Search & Metadata
- Universal search with facets and boolean operators
- CSDL metadata parsing with namespace handling
- Dimension/measure identification from SAP annotations

### OData Query Support
- `$select`, `$filter`, `$expand`, `$top`, `$skip`, `$orderby`, `$count`
- `$apply` for aggregations (groupby, sum, average, min, max, count)
- Pagination for large result sets

---

## Next Steps Recommendation

### Immediate Priority: Phase 5.1 - Relational Data Access
**Why**: Completes the data consumption story (analytical + relational)
**Tools**: 4 tools for row-level data access and ETL
**Pattern**: Similar to Phase 4.1 (analytical) but for relational access
**Estimated Time**: 4-5 days

### Implementation Approach
1. Create `SAP_DATASPHERE_RELATIONAL_TOOLS_SPEC.md`
2. Create `MCP_RELATIONAL_TOOLS_GENERATION_PROMPT.md`
3. Follow same pattern as Phase 4.1 but for relational endpoints
4. Include ETL-specific features (large result sets, streaming)

---

## Key Insights for Continuation

### What Works Well
1. **Phased approach** - Breaking into manageable chunks
2. **Dual documentation** - Spec + implementation guide
3. **Consistent patterns** - OAuth2, error handling, pagination
4. **Real API endpoints** - Based on actual SAP Datasphere APIs
5. **Production-ready code** - Complete implementations with error handling

### Critical Success Factors
1. **OAuth2 token management** - Auto-refresh is essential
2. **Error handling** - Comprehensive coverage of HTTP status codes
3. **Pagination** - Required for large datasets
4. **Type safety** - Full type hints for maintainability
5. **MCP compatibility** - JSON string returns

### API Discovery Source
- **File**: `web_dashboard.py` (lines 2130-3000)
- Contains all discovered SAP Datasphere API endpoints
- Real endpoints tested and verified
- Includes request/response formats

---

## Files to Read for Continuation

### Essential Files
1. `SAP_DATASPHERE_MCP_EXTRACTION_PLAN.md` - Master plan
2. `EXTRACTION_PLAN_STATUS.md` - Current progress
3. `SAP_DATASPHERE_ANALYTICAL_TOOLS_SPEC.md` - Pattern for Phase 5.1
4. `MCP_ANALYTICAL_TOOLS_GENERATION_PROMPT.md` - Implementation pattern
5. `web_dashboard.py` (lines 2130-3000) - API endpoints

### Reference Files
- Any completed phase spec/prompt for patterns
- `SAP_DATASPHERE_FOUNDATION_TOOLS_SPEC.md` - Authentication patterns

---

## Progress Summary

**Total Progress**: 25 of 50 tools documented (50%)
**High Priority Complete**: Foundation (7) + Catalog (7) + Metadata (4) + Repository (3) + Analytical (4) = 25 tools
**Remaining High Priority**: Relational Data Access (4 tools)
**Remaining Medium/Low Priority**: 21 tools across 6 phases

**The foundation is solid - ready to complete the data consumption capabilities with Phase 5.1!**

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**Ready for next session continuation with Phase 5.1: Relational Data Access**