AI-Powered Financial Analysis for LLMs

The Model Context Protocol (MCP) Financial API provides advanced financial analysis capabilities to AI assistants, apps, and LLMs through a simple, unified interface.

Python NumPy PostgreSQL
Pandas Pinecone Stripe

Understanding Model Context Protocol (MCP)

MCP enables AI assistants to access financial data and analysis tools securely, providing context-aware financial insights for better decision making.

MCP Financial Diagram

The MCP architecture connects AI assistants with powerful financial analysis tools through a standardized protocol.

Key Features

Powerful financial tools for AI assistants and applications

19+ Financial Metrics

Calculate key financial ratios, valuation metrics, and performance indicators with a unified API interface.

Time Series Analysis

Forecast financial trends, perform regression analysis, and identify patterns in time series data.

Portfolio Optimization

Optimize asset allocation, calculate efficient frontiers, and analyze risk-adjusted returns for portfolios.

Document Processing

Extract financial data from documents using OCR and generate embeddings for semantic search.

AI Integration

Seamlessly integrate with AI assistants like ChatGPT and Claude through the Model Context Protocol.

API Key Management

Generate and manage API keys with custom permissions, rate limits, and expiration dates.

Easy to Integrate

Simple API endpoints for financial calculations, time series analysis, and portfolio optimization.

  • RESTful API: Simple HTTP requests with JSON responses
  • MCP Compatibility: Works with AI assistant tool APIs
  • Python Client: Official client library available
View Documentation
JSON
{
  "type": "api",
  "action": "get",
  "parameters": {
    "integration": "financial",
    "query": "calculate_financial_ratios",
    "data": {
      "current_assets": 100000,
      "current_liabilities": 50000,
      "total_debt": 120000,
      "total_equity": 200000,
      "revenue": 500000,
      "net_income": 75000
    }
  }
}
JSON
{
  "success": true,
  "data": {
    "current_ratio": 2.0,
    "debt_to_equity": 0.6,
    "profit_margin": 0.15,
    "return_on_equity": 0.375
  }
}

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Python
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NumPy
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Pandas
Stripe
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MCP Financial Assistant

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Hello! I'm your MCP Financial Assistant. Ask me to calculate financial metrics or explain concepts.