Market Sizing MCP Server

A Model Context Protocol server providing market research and business analysis capabilities through 28 tools, 15 business prompts, and integration with 8 economic data sources.

Overview

This MCP server provides comprehensive market research capabilities including:

• 28 Tools: Market analysis, data access, and business intelligence tools
• 15 Prompts: Professional business analysis templates for funding, strategy, and research
• Data Integration: Alpha Vantage, BLS, Census, FRED, IMF, Nasdaq Data Link, OECD, World Bank
• Smart Defaults: Pre-configured parameters for immediate use without setup
• Multiple Transports: STDIO, Streamable HTTP, and SSE support

Capabilities

Market Analysis Tools

• Total Addressable Market (TAM) and Serviceable Addressable Market (SAM) calculations
• Market size estimation and forecasting
• Industry analysis and competitive intelligence
• Market segmentation and opportunity identification
• Data validation and cross-source verification

Business Intelligence Prompts

• Startup funding pitch preparation
• Private equity investment analysis
• Corporate strategy and market entry
• Crisis management and regulatory impact assessment
• ESG and sustainability analysis

Data Access

• Real-time financial and economic data retrieval
• Multi-source data aggregation and comparison
• Intelligent routing based on data type and availability
• Comprehensive caching for performance optimization

MCP Protocol Features

• Real-time Notifications: 6 types of business-specific notifications for market intelligence, data source health, calculation milestones, and performance monitoring
• Multiple Transports: Full support for STDIO, HTTP, and Server-Sent Events (SSE) protocols
• Resource Access: Documentation and status information available through MCP resources
• Tool Discovery: Complete tool catalog with smart defaults and validation

Installation

Prerequisites

• Node.js 20.x or later
• npm or yarn
• API keys for data sources (optional, see Configuration)

Quick Setup

# Clone repository
git clone https://github.com/your-username/TAM-MCP-Server.git
cd TAM-MCP-Server

# Install dependencies
npm install

# Configure environment
cp .env.example .env
# Edit .env with your API keys

# Build and start (HTTP - recommended)
npm run build
npm run start:http

Development Setup

# Use development script
chmod +x scripts/dev-setup.sh
./scripts/dev-setup.sh

# Or manual setup
npm install
npm run build
npm run start  # HTTP server
npm run start:stdio  # STDIO transport

Docker Deployment

# Build image
docker build -t tam-mcp-server .

# Run container with environment file
docker run -p 3000:3000 --env-file .env tam-mcp-server

# Or run with individual environment variables
docker run -p 3000:3000 \
  -e ALPHA_VANTAGE_API_KEY=your_key_here \
  -e FRED_API_KEY=your_key_here \
  -e NODE_ENV=production \
  tam-mcp-server

MCP Integration

HTTP Transport (Recommended) For Claude Desktop, add to your configuration:

{
  "mcpServers": {
    "tam": {
      "command": "npm",
      "args": ["run", "start:http"],
      "cwd": "/path/to/TAM-MCP-Server"
    }
  }
}

STDIO Transport (Alternative)

{
  "mcpServers": {
    "tam": {
      "command": "npm",
      "args": ["run", "start:stdio"],
      "cwd": "/path/to/TAM-MCP-Server"
    }
  }
}

For MCP Inspector:

# HTTP mode
npm run start:http

# STDIO mode  
npx @modelcontextprotocol/inspector npm run start:stdio

Usage

Smart Default Values - Z

... View full README on GitHub