PitchLense MCP

""" Financial Risk Analyzer for PitchLense MCP Package. Analyzes financial risks including metrics consistency, burn rate, projections, CAC/LTV ratio, and profitability path. """ from typing import List, Dict, Any from ..core.base import BaseRiskAnalyzer, BaseMCPTool from ..models.risk_models import RiskLevel from ..prompts import FINANCIAL_RISK_PROMPT class FinancialRiskAnalyzer(BaseRiskAnalyzer): """Financial risk analyzer implementation.""" def __init__(self, llm_client): """Initialize the financial risk analyzer.""" super().__init__(llm_client, "Financial Risks") self.risk_indicators = self.get_risk_indicators() def get_risk_indicators(self) -> List[str]: """Get the list of financial risk indicators.""" return [ "Metrics Consistency Risk", "Burn Rate & Runway Risk", "Projection Realism Risk", "CAC vs LTV Risk", "Profitability Path Risk", "Funding Dependence Risk" ] def get_analysis_prompt(self) -> str: """Get the analysis prompt for financial risks.""" return FINANCIAL_RISK_PROMPT class FinancialRiskMCPTool(BaseMCPTool): """MCP tool for financial risk analysis.""" def __init__(self): """Initialize the financial risk MCP tool.""" super().__init__("Financial Risk Analyzer", "Analyze financial risks for startups") self.analyzer = FinancialRiskAnalyzer(None) # Will be set when LLM client is available def set_llm_client(self, llm_client): """Set the LLM client for the analyzer.""" self.analyzer.llm_client = llm_client def analyze_financial_risks(self, startup_data: str) -> dict: """ Analyze financial risks for a startup. Args: startup_data: Dictionary containing startup information Returns: JSON response with financial risk analysis """ if not self.validate_startup_data(startup_data): return self.create_error_response("Invalid startup data format") try: return self.analyzer.analyze(startup_data) except Exception as e: return self.create_error_response(f"Analysis failed: {str(e)}") def register_tools(self): """Register MCP tools.""" self.register_tool(self.analyze_financial_risks)