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TAM-MCP-Server

by gvaibhav·29·Score 41

A comprehensive MCP server for market sizing analysis with 28 tools, 15 business prompts, and integration with 8 economic data sources.

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Overview

The TAM-MCP-Server provides extensive market research and business analysis capabilities through 28 specialized tools organized in three tiers: direct data access, basic market analysis, and advanced business intelligence. It integrates with 8 major economic data sources including Alpha Vantage, BLS, Census, FRED, IMF, Nasdaq Data Link, OECD, and World Bank. The server supports multiple transport methods (STDIO, HTTP, SSE) and features smart defaults that enable immediate use without parameter research.

Try asking AI

After installing, here are 8 things you can ask your AI assistant:

you:Conduct market sizing analysis and TAM/SAM calculations for business planning
you:Access real-time financial and economic data for investment analysis
you:Generate business strategy prompts for funding pitches and market entry plans
you:Perform competitive intelligence and industry analysis
you:Create market forecasts and identify growth opportunities
you:Do I need API keys for all data sources?
you:What transport methods are supported?
you:Can I use this without programming knowledge?

When to choose this

Choose this server for professional market analysis and business intelligence work, especially when you need TAM/SAM calculations, industry research, or integration with economic data sources.

When NOT to choose this

Not ideal if you need real-time market data with minimal latency, as the server relies on external APIs with potential caching delays, or if you require highly specialized industry data not covered by the integrated sources.

Tools this server exposes

12 tools extracted from the README
  • alphaVantage_getCompanyOverview

    Get detailed company overview and financials from Alpha Vantage

  • tam_analysis

    Advanced Total Addressable Market calculations with scenario projections

  • market_size_calculator

    Basic market size estimation with methodology explanations

  • industry_analysis

    Enhanced multi-source industry analysis with intelligent ranking

  • fred_getSeriesObservations

    Fetch Federal Reserve economic data series

  • market_forecasting

    Time series forecasting with scenario analysis

  • market_comparison

    Multi-market comparative analysis and rankings

  • census_fetchIndustryData

    Access U.S. Census Bureau industry statistics

  • market_segments

    Hierarchical market segmentation analysis

  • worldBank_getIndicatorData

    Fetch World Bank development indicators

  • sam_calculator

    Serviceable Addressable Market with constraint analysis

  • market_opportunities

    Market gap and growth opportunity identification

Comparable tools

market-mcpfinance-mcpecon-data-mcp

Installation

Installation

Prerequisites

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

Quick Setup

# Clone repository
git clone https://github.com/gvaibhav/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

Claude Desktop Integration

Add to your configuration:

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

FAQ

Do I need API keys for all data sources?
No, many data sources have free tiers or public APIs (World Bank, OECD, IMF, Census, FRED). Keys are optional but provide higher request limits.
What transport methods are supported?
The server supports three transport methods: STDIO, HTTP (recommended), and Server-Sent Events (SSE) for different integration needs.
Can I use this without programming knowledge?
Yes, the server provides smart defaults for all tools, allowing immediate use without parameter research. You can also use the 15 business prompts for ready-made analysis templates.

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Last updated · Auto-generated from public README + GitHub signals.