agentladle-mcp-reoi

agentladle-mcp-reoi

Enables AI assistants to perform multi-stage residual income projections, discounting, and enterprise value bridging analysis using standardized financial data inputs.

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README

AgentLadle MCP REOI

中文 | English

A Model Context Protocol (MCP) server for Residual Operating Income (REOI) Valuation, built with Python and FastMCP.

📈 Financial Data & Valuation Engine — A professional quantitative analysis tool for Residual Operating Income modeling.

It enables AI assistants (like Claude, Cursor, etc.) to perform multi-stage residual income projections, discounting, and enterprise value bridging analysis via standardized data input interfaces.

Features

  • 1 Professional MCP Tool providing comprehensive financial valuation capabilities.
  • Standardized REOI Framework, incorporating base period analysis, forecast period discounting, and terminal value estimation.
  • Multi-stage Profit Forecasting, allowing independent revenue growth rates and operating margins configuration for each year.
  • Smart Markdown Formatting, returning not only precise valuation figures but also built-in markdown tables for elegant rendering inside LLM clients.
  • Zero Configuration Installation — Add one line to your MCP client without cloning or manual setup.
  • Pure Python, cross-platform (Windows / macOS / Linux).

Prerequisites

Tip: After installing uv, restart your terminal and MCP client (e.g., Claude Desktop) to ensure the uv command is recognized.

Quick Start

Add the following to your MCP client configuration (Claude Desktop, Cursor, etc.):

{
  "mcpServers": {
    "agentladle-mcp-reoi": {
      "command": "uvx",
      "args": ["agentladle-mcp-reoi"]
    }
  }
}

That's it. uvx automatically downloads the package and its dependencies from PyPI — no cloning, manual installation, or path configuration required.

Alternative: pip install

If you prefer managing the environment yourself:

pip install agentladle-mcp-reoi

Then configure:

{
  "mcpServers": {
    "agentladle-mcp-reoi": {
      "command": "agentladle-mcp-reoi"
    }
  }
}

Alternative: Run from Source (Local Dev)

Clone the repository and run directly:

git clone https://github.com/agentladle/mcp-reoi.git

Configure your MCP client:

{
  "mcpServers": {
    "agentladle-mcp-reoi": {
      "command": "uv",
      "args": ["run", "--directory", "/path/to/mcp-reoi", "agentladle-mcp-reoi"]
    }
  }
}

Replace /path/to/mcp-reoi with the actual path to the cloned repository.

Tool List

# Tool Description
1 reoi_valuation_model Residual Operating Income valuation model. Outputs value per share and detailed breakdown based on financial statements and assumptions.

Tool 1: reoi_valuation_model

Calculates enterprise equity value and suggested value per share by taking base period financial data and future forecast assumptions.

Parameter List (request object)

Parameter Type Required Description
version string Version, default "1.0"
ticker string Stock ticker
companyName string Company Name
currency string Currency, default "CNY"
baseData object Base period financial data
parameters object Valuation parameters
marketConsensus object Optional market consensus data
assumptions object Optional forecast assumptions

baseData object

Parameter Type Required Description
totalAssets float Total Assets (millions)
financialAssets float Financial Assets (millions)
totalLiabilities float Total Liabilities (millions)
financialLiabilities float Financial Liabilities (millions)
preferredStock float Preferred Stock Value (millions)
minorityEquity float Minority Equity (millions)
sales0 float Base Period Sales (millions), must be > 0
op0 float Base Period Operating Profit (millions)
oi0 float Base Period Core Profit (millions)
salesGrowthRate float Base Period Sales Growth Rate
operatingMargin float Base Period Operating Margin
sharesOutstanding float Total Shares Outstanding (millions), must be > 0

parameters object

Parameter Type Required Description
forecastYears int Number of Forecast Years (default: 5)
costOfCapitalRate float Discount Rate/WACC, e.g., 0.10 for 10%
terminalGrowthRate float Terminal Growth Rate, e.g., 0.03 for 3%

marketConsensus object (Optional)

Parameter Type Required Description
revenues float[] Array of annual revenue consensus
eps float[] Array of annual EPS consensus

assumptions object (Optional)

Parameter Type Required Description
salesGrowthRates float[] Array of annual revenue growth rates
operatingMargins float[] Array of annual operating margins

Data Flow

Model Input (Financials & Assumptions)
        │
        ▼
   Input Validation
        │
        ├── 1. Derive Base Net Operating Assets (NOA) and Asset Turnover
        │
        ├── 2. Forecast Period Projection (Compute sales, OI, ending NOA, residual income)
        │
        ├── 3. Terminal Value Calculation (Compute terminal value and discount to present)
        │
        └── 4. Value Bridging (Core operating value + Financial Assets - Liabilities - Minority Equity)
        │
        ▼
Markdown Detailed Output (Value per share, Data Tables)

Tech Stack

Component Choice Purpose
MCP Framework mcp (FastMCP) MCP server with stdio transport
Data Validation pydantic Strong typing and JSON Schema generation
Build Tool hatchling + uv Project configuration and dependency management
Testing pytest Unit testing for the core valuation engine

License

MIT

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