AI Agent (Azure AI Foundry / Claude / Copilot Studio)
    │  MCP Tool Calls
    ▼
FastMCP Server (server.py)
    ├── get_schema        → schema_registry.py  (table/column metadata)
    ├── execute_query     → la_client.py         (validated KQL execution)
    ├── analyze_results   → domain_knowledge.py  (SAP error classification)
    └── run_full_rca      → rca_orchestrator.py  (8-step automated workflow)
    │
    ▼
Azure Log Analytics (read-only KQL queries via Managed Identity)

# 1. Clone / navigate to this folder
cd C:\Users\padmajat\Documents\AMS-Agentic-RCA\MCP

# 2. Create virtual environment
python -m venv .venv
.venv\Scripts\activate          # Windows
# source .venv/bin/activate     # Linux/macOS

# 3. Install dependencies
pip install -r requirements.txt

# 4. Configure
copy .env.example .env
# Edit .env and fill in AZURE_LOG_ANALYTICS_WORKSPACE_ID and AZURE_TENANT_ID

# 5. Authenticate (local development)
az login

AZURE_LOG_ANALYTICS_WORKSPACE_ID=<your-workspace-guid>
AZURE_TENANT_ID=<your-tenant-id>

python server.py
# or:
mcp dev server.py

pip install uvicorn
uvicorn server:mcp --host 0.0.0.0 --port 8000

{
  "mcpServers": {
    "sap-rca": {
      "command": "python",
      "args": ["C:/Users/padmajat/Documents/AMS-Agentic-RCA/MCP/server.py"],
      "env": {
        "AZURE_LOG_ANALYTICS_WORKSPACE_ID": "<your-workspace-id>",
        "AZURE_TENANT_ID": "<your-tenant-id>"
      }
    }
  }
}

Agent → get_schema(["SapNetweaver_ShortDumps_CL"])
Agent → execute_query("SapNetweaver_ShortDumps_CL | where serverTimestamp_t > ago(4h) | where SID_s == 'CHA' | take 100")
Agent → analyze_results(results, "short_dumps", context="SID=CHA, last 4h")

Agent → run_full_rca(sid="CHA", time_range_hours=4, issue_description="Multiple batch job failures")
← Returns complete 8-step RCA report