Market Sizing MCP Server

by gvaibhav

Not rated yet

About

Provides market research and business analysis by integrating with multiple economic data sources like Alpha Vantage, BLS, and the World Bank.

Explore

Setup

Install Market Sizing MCP Server in your MCP client (Claude Desktop, Cursor, Windsurf, and others).

Repository: https://github.com/gvaibhav/TAM-MCP-Server

Follow the installation instructions in the repository README, then restart your MCP client.

serverUrl

](https://github.com/gvaibhav/TAM-MCP-Server/blob/HEAD/doc/consumer/default-values-guide.md)[http://localhost:3000

sessionId

(automatically set after initialization)

The TAM MCP Server provides28 total MCP toolsorganized in three complementary tiers:

Purpose: Raw access to external data sources
Target Users: Developers, data engineers, custom analytics builders

- alphaVantage_getCompanyOverview: Get detailed company overview and financials
- alphaVantage_searchSymbols: Search for stock symbols and company names
- bls_getSeriesData: Retrieve Bureau of Labor Statistics employment data
- census_fetchIndustryData: Access U.S. Census Bureau industry statistics
- census_fetchMarketSize: Get market size data from Census surveys
- fred_getSeriesObservations: Fetch Federal Reserve economic data series
- imf_getDataset: Access International Monetary Fund datasets
- imf_getLatestObservation: Get latest IMF economic observations
- nasdaq_getDatasetTimeSeries: Retrieve Nasdaq Data Link time series
- nasdaq_getLatestDatasetValue: Get latest values from Nasdaq datasets
- oecd_getDataset: Access OECD statistical datasets
- oecd_getLatestObservation: Get latest OECD economic observations
- worldBank_getIndicatorData: Fetch World Bank development indicators

Purpose: Foundational market analysis capabilities
Target Users: Business analysts starting with basic market research

- industry_search: Basic industry data retrieval from multiple sources
- tam_calculator: Basic Total Addressable Market calculations
- market_size_calculator: Basic market size estimation with methodology explanations
- company_financials_retriever: Basic company financial data retrieval

Purpose: Advanced market intelligence and comprehensive business analysis
Target Users: Senior analysts, market researchers, investment teams
- industry_analysis: Enhanced multi-source industry analysis with intelligent ranking
- industry_data: Detailed industry intelligence with trends, ESG, and key players
- market_size: Advanced market size estimation and analysis with confidence scoring
- tam_analysis: Advanced Total Addressable Market calculations with scenario projections
- sam_calculator: Serviceable Addressable Market with constraint analysis
- market_segments: Hierarchical market segmentation analysis
- market_forecasting: Time series forecasting with scenario analysis
- market_comparison: Multi-market comparative analysis and rankings
- data_validation: Cross-source data quality validation and scoring
- market_opportunities: Market gap and growth opportunity identification
- generic_data_query: Direct access to any data source service and method

The server integrates with 8 data sources:

- Alpha Vantage: Company financials, stock data
- BLS: Employment and labor statistics
- Census: Industry and demographic data
- FRED: Federal Reserve economic data
- IMF: International economic data
- Nasdaq Data Link: Financial datasets
- OECD: International statistics
- World Bank: Development indicators

npm run start:http # Server available at http://localhost:3000

Copy.env.exampleto.envand configure as needed:

# Server Configuration PORT=3000 NODE_ENV=development LOG_LEVEL=info # API Keys (Optional - tools work without keys but with limited data) ALPHA_VANTAGE_API_KEY=your_key_here CENSUS_API_KEY=your_key_here FRED_API_KEY=your_key_here NASDAQ_DATA_LINK_API_KEY=your_key_here BLS_API_KEY=your_key_here # Cache Configuration (Optional) CACHE_TTL_DEFAULT_MS=86400000 CACHE_TTL_ALPHA_VANTAGE_MS=86400000 CACHE_TTL_FRED_MS=86400000

- Alpha Vantage: Free tier provides 25 requests/day
- Census Bureau: Free API access
- FRED: Free API access
- Nasdaq Data Link: Free tier available

- World Bank, OECD, IMF (public APIs)
- BLS (optional key for higher limits)

All tools include professional defaults. SeeDefault Values Guidefor complete parameter lists.

- Stock symbols: AAPL, MSFT, GOOGL
- Industry codes: NAICS 54 (Professional Services)
- Market sizes: $10B base with 15% growth
- Time periods: 2020-2024

- NodeCache-based with configurable TTLs
- Automatic cleanup and statistics
- Per-source cache invalidation

const dataService = new EnhancedDataService({ cache: { type: 'redis' }, apiKeys: { / your keys / } });
TAM-MCP-Server/ ├── config/ # Configuration files │ ├── jest.config.json # Jest test configuration │ ├── vitest.config.ts # Vitest test configuration │ └── redis.conf # Redis configuration ├── doc/ # Documentation │ ├── README.md # Documentation hub │ ├── consumer/ # Consumer documentation │ │ ├── getting-started.md # Getting started guide │ │ ├── default-values-guide.md # Default values guide │ │ ├── mcp-prompts-guide.md # MCP prompts guide │ │ ├── tools-guide.md # Tools reference │ │ └── api-reference.md # API documentation │ ├── contributor/ # Contributor documentation │ │ ├── contributing.md # Development guidelines │ │ └── security.md # Security policy │ ├── reference/ # Reference documentation │ │ ├── RELEASE-NOTES.md # Version history │ │ ├── CHANGELOG.md # Technical changes │ │ └── requirements.md # Technical specifications │ ├── reports/ # Technical reports and validation │ │ ├── SEMANTIC-VALIDATION-COMPLETE.md # Validation results │ │ └── DEFAULT-VALUES-SUMMARY.md # Default values analysis │ └── archive/ # Historical documents ├── examples/ # Examples and demos │ ├── README.md # Examples documentation │ ├── demo-default-values.mjs # Default values demonstration │ ├── demo-integration.mjs # Integration examples │ └── TAM-MCP-Server-Postman-Collection.json # API testing ├── scripts/ # Build and development scripts │ ├── build.sh # Production build script │ ├── dev-setup.sh # Development environment setup │ └── dev.sh # Development helper script ├── src/ # Source code │ ├── index.ts # Main entry point │ ├── server.ts # Core MCP server │ ├── http.ts # HTTP transport │ ├── sse-new.ts # SSE transport │ ├── stdio-simple.ts # STDIO transport │ ├── config/ # Configuration modules │ ├── services/ # Data source services │ ├── tools/ # MCP tool implementations │ ├── prompts/ # Business prompt templates │ ├── notifications/ # Notification system │ ├── types/ # TypeScript definitions │ └── utils/ # Utility functions ├── tests/ # Test suite │ ├── unit/ # Unit tests │ ├── integration/ # Integration tests │ ├── e2e/ # End-to-end tests │ ├── scripts/ # Test and validation scripts │ │ ├── test-comprehensive.mjs # Comprehensive testing │ │ ├── test-semantic-validation.mjs # Semantic validation │ │ └── *.mjs # Additional test utilities │ ├── fixtures/ # Test data and mock objects │ ├── utils/ # Test utilities and helpers │ └── setup.ts # Test configuration ├── logs/ # Application logs ├── dist/ # Compiled JavaScript (built) ├── .env.example # Environment template ├── package.json # Node.js dependencies ├── tsconfig.json # TypeScript configuration └── README.md # Main documentation

15 Professional Business Analysis Promptsdesigned for real-world business scenarios:

- startup_funding_pitch- Series A-C funding presentations with TAM/SAM analysis
- private_equity_research- Investment committee packages for PE deals
- corporate_strategy_entry- Fortune 500 market entry strategy analysis
- venture_capital_thesis- VC investment thesis development
- asset_management_research- Institutional asset management research

- crisis_management_analysis- Emergency market analysis for crisis response
- regulatory_impact_assessment- Regulatory change impact analysis
- international_expansion- Global market entry strategy analysis
- technology_disruption_analysis- Technology disruption impact assessment
- esg_sustainability_analysis- ESG and sustainability market analysis

- market_opportunity_scan- Rapid market opportunity identification
- competitive_intelligence- Competitive landscape analysis
- investment_screening- Investment opportunity screening
- tool_guidance- Interactive guide to TAM MCP Server tools
- best_practices_guide- Best practices for market analysis

Designed for AI applications serving business analysts, developers, and market researchers with deep market intelligence and data access tools.

The project uses a comprehensive test structure with Vitest as the primary testing framework:

tests/ ├── unit/ # Fast, isolated component tests ├── integration/ # Component interaction tests ├── e2e/ # End-to-end workflow tests ├── scripts/ # Integration test scripts │ ├── test-comprehensive.mjs # Comprehensive testing │ ├── test-http-streaming.mjs # HTTP streaming transport │ ├── test-simple-mcp.mjs # Basic MCP functionality │ └── test-mcp-tool-calls.mjs # Individual tool validation ├── fixtures/ # Test data and mock objects ├── utils/ # Test utilities and helpers └── setup.ts # Vitest global configuration
# Run all tests npm test # Run by category npm run test:unit # Fast unit tests npm run test:integration # Integration tests npm run test:e2e # End-to-end tests # Advanced options npm run test:coverage # With coverage report npm run test:watch # Watch mode for development npm run test:ui # Vitest UI mode npm run test:ci # CI-optimized test run # Run integration scripts npm run test:scripts # Comprehensive backend integration npm run test:scripts:http # HTTP streaming transport npm run test:scripts:simple # Basic MCP functionality npm run test:scripts:tools # Individual tool validation npm run test:scripts:inspector # MCP Inspector compatibility # Or run directly node tests/scripts/test-comprehensive.mjs node tests/scripts/test-http-streaming.mjs

Import the comprehensive Postman collection for testing both MCP endpoints and backend API integrations:
- Import Collection:examples/TAM-MCP-Server-Postman-Collection.json
- Set Environment Variables:

- serverUrl:http://localhost:3000
- sessionId: (automatically set after initialization)

- Health check and server status
- MCP session initialization
- All 28 tools (11 market analysis + 17 data access)
- Resource access endpoints
- Session management and cleanup

Newman CLI TestingAutomate Postman tests from command line:

# Install Newman npm install -g newman # Run backend API tests newman run examples/TAM-MCP-Server-Postman-Collection.json \ -e tests/postman/environments/TAM-MCP-Server-Environment.postman_environment.json \ --reporters cli,json # Or use npm script npm run test:postman

- Unit Level: Individual tool functionality and business logic
- Integration Level: MCP protocol compliance and server behavior
- System Level: Complete workflows through real transports
- API Level: REST endpoints and session management
- Performance: Response time and resource usage monitoring

Code coverage reports are generated in thecoverage/directory.

src/ ├── index.ts # Main entry point ├── server.ts # MCP server implementation ├── http.ts # HTTP transport ├── sse-new.ts # SSE transport ├── stdio-simple.ts # STDIO transport ├── config/ # Configuration modules │ └── apiConfig.ts # API endpoint configurations ├── services/ # Data source services │ ├── dataService.ts # Main data orchestrator │ ├── cache/ # Caching services │ │ ├── cacheService.ts # In-memory caching │ │ └── persistenceService.ts # File persistence │ └── dataSources/ # Individual data source clients │ ├── alphaVantageService.ts │ ├── blsService.ts │ ├── censusService.ts │ ├── fredService.ts │ ├── imfService.ts │ ├── nasdaqDataService.ts │ ├── oecdService.ts │ └── worldBankService.ts ├── tools/ # MCP tool implementations │ └── market-tools.ts # MarketAnalysisTools class ├── prompts/ # Business prompt templates ├── notifications/ # Notification system ├── types/ # TypeScript definitions │ ├── index.ts # Core schemas and types │ ├── dataSources.ts # Data source interfaces │ └── cache.ts # Cache-related types └── utils/ # Utility functions ├── dataTransform.ts # Data transformation ├── envHelper.ts # Environment parsing ├── rateLimit.ts # Rate limiting └── logger.ts # Winston logging tests/ ├── unit/ # Unit tests ├── integration/ # Integration tests ├── e2e/ # End-to-end tests └── scripts/ # Test automation scripts
# Import collection examples/TAM-MCP-Server-Postman-Collection.json # Or run with Newman npm run test:postman

- Language: TypeScript 5.x
- Protocol: MCP 2025-03-26
- Framework: Express.js 4.x
- Validation: Zod schemas
- Testing: Vitest + Postman
- Cache: NodeCache (Redis optional)
- Logging: Winston

Services showing as disabled despite API keys

- Ensure.envfile is in project root
- Check API key variable names match exactly
- Restart server after adding keys
- Verify startup logs show service initialization

- Use:npx @modelcontextprotocol/inspector node dist/stdio-simple.js
- Ensure no console.log statements contaminate stdout
- Check Winston logger uses stderr for output

- Runnpm installto update dependencies
- Check Node.js version (20.x recommended)
- Clear build cache:rm -rf dist && npm run build

- Check service status in startup logs
- Verify API quotas not exceeded
- Test withgeneric_data_querytool
- Check network connectivity

- CheckGitHub Issues
- Review
Release Notes
- Submit issues with error logs and environment details

- Documentation Hub- Complete guide to all project documentation
-
Getting Started Guide- Quick setup and first-use instructions
-
Configuration Guide- Environment setup and API key management
-
Tools Reference- Complete tool documentation and usage examples
-
Prompts Guide- Business analysis prompt templates and scenarios
-
API Reference- Complete API documentation and integration guides
-
Default Values Guide- Smart defaults documentation
-
MCP Integration Guide- MCP resources and protocol usage

- Contributing Guide- Guidelines for contributors and developers
-
Security Policy- Security guidelines and vulnerability reporting
-
Release Notes- Detailed change history and version information
-
Changelog- Technical changes and updates

- Integration Tests- Integration test scripts documentation

- Examples Directory- API examples and integration resources
-
Postman Collection- Comprehensive API testing collection
-
Development Scripts- Build and setup automation scripts

- Notifications Guide- Real-time notification system
-
Architecture Overview- System design and architecture decisions

All documentation is also accessible through the MCP protocol:

// Discover all available documentation { "method": "resources/list", "params": {} } // Read specific documentation { "method": "resources/read", "params": { "uri": "file:///README.md" } }

- README.md - Complete project overview and feature documentation
- Getting Started Guide - Quick setup and first-use instructions
- Configuration Guide - Environment setup and API key management
- Tools Reference - Complete tool documentation and usage examples
- Prompts Guide - Business analysis prompt templates and scenarios
- API Reference - Complete API documentation and integration guides
- Security Policy - Security guidelines and best practices
- Contributing Guide - Development and contribution instructions

Provides market research and business analysis by integrating with multiple economic data sources like Alpha Vantage, BLS, and the World Bank.

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.

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

- 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

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

- 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

- 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

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

# 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
# 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
# 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

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

{ "mcpServers": { "tam": { "command": "npm", "args": ["run", "start:http"], "cwd": "/path/to/TAM-MCP-Server" } } }
{ "mcpServers": { "tam": { "command": "npm", "args": ["run", "start:stdio"], "cwd": "/path/to/TAM-MCP-Server" } } }
# HTTP mode npm run start:http # STDIO mode npx @modelcontextprotocol/inspector npm run start:stdio

Smart Default Values - Zero-Friction Start

Get professional market insights instantly - no parameter research required!

All 28 tools include intelligent default values that let you start analyzing immediately:

// Call any tool with empty parameters - defaults automatically applied { "name": "alphaVantage_getCompanyOverview", "arguments": {} // Server provides: symbol="AAPL" (Apple Inc.) } { "name": "tam_analysis", "arguments": {} // Server provides: $10B market, 15% growth, 5-year projection }

- Stock Analysis: AAPL, MSFT, GOOGL (Fortune 500 companies)
- Economic Data: US GDP, Global indicators, 2020-2024 timeframes
- Industry Codes: Technology sector, Professional Services (NAICS 54)
- Market Calculations: $10B base market, 15% growth rates, 5-year projections

- First-time users getting immediate results without parameter research
- Demo environments showcasing professional market analysis capabilities
- Rapid prototyping with realistic business data and scenarios

// Market analysis with defaults { "name": "tam_analysis", "arguments": {} } // Company overview with default symbol (AAPL) { "name": "alphaVantage_getCompanyOverview", "arguments": {} } // Custom parameters { "name": "market_size", "arguments": { "industryId": "technology", "region": "north-america" } }

Access professional templates through the prompts interface:

// List available prompts { "method": "prompts/list" } // Get startup funding prompt { "method": "prompts/get", "params": { "name": "startup_funding_pitch", "arguments": { "company_name": "TechCorp", "industry": "SaaS" } } }

MCP Tools - Three-Tier Architecture System

The TAM MCP Server provides28 total MCP toolsorganized in three complementary tiers:

Tier 1: Direct Data Access Tools (13 tools)

Purpose: Raw access to external data sources
Target Users: Developers, data engineers, custom analytics builders

- alphaVantage_getCompanyOverview: Get detailed company overview and financials
- alphaVantage_searchSymbols: Search for stock symbols and company names
- bls_getSeriesData: Retrieve Bureau of Labor Statistics employment data
- census_fetchIndustryData: Access U.S. Census Bureau industry statistics
- census_fetchMarketSize: Get market size data from Census surveys
- fred_getSeriesObservations: Fetch Federal Reserve economic data series
- imf_getDataset: Access International Monetary Fund datasets
- imf_getLatestObservation: Get latest IMF economic observations
- nasdaq_getDatasetTimeSeries: Retrieve Nasdaq Data Link time series
- nasdaq_getLatestDatasetValue: Get latest values from Nasdaq datasets
- oecd_getDataset: Access OECD statistical datasets
- oecd_getLatestObservation: Get latest OECD economic observations
- worldBank_getIndicatorData: Fetch World Bank development indicators

Purpose: Foundational market analysis capabilities
Target Users: Business analysts starting with basic market research

- industry_search: Basic industry data retrieval from multiple sources
- tam_calculator: Basic Total Addressable Market calculations
- market_size_calculator: Basic market size estimation with methodology explanations
- company_financials_retriever: Basic company financial data retrieval

Tier 3: Business Analysis Tools (11 tools)

Purpose: Advanced market intelligence and comprehensive business analysis
Target Users: Senior analysts, market researchers, investment teams
- industry_analysis: Enhanced multi-source industry analysis with intelligent ranking
- industry_data: Detailed industry intelligence with trends, ESG, and key players
- market_size: Advanced market size estimation and analysis with confidence scoring
- tam_analysis: Advanced Total Addressable Market calculations with scenario projections
- sam_calculator: Serviceable Addressable Market with constraint analysis
- market_segments: Hierarchical market segmentation analysis
- market_forecasting: Time series forecasting with scenario analysis
- market_comparison: Multi-market comparative analysis and rankings
- data_validation: Cross-source data quality validation and scoring
- market_opportunities: Market gap and growth opportunity identification
- generic_data_query: Direct access to any data source service and method

The server integrates with 8 data sources:

…

No reviews yet — be the first

Sign in to leave a review

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.