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gvaibhav/TAM-MCP-Server

gvaibhav/TAM-MCP-Server

Market sizing and TAM/SAM analysis
在 GitHub 查看 ↗直链 · 无中转页
来源明细
收录自 abordage/awesome-mcp 榜单(我们从中收集的条目之一) · 条目类型:MCP 服务
收录与活跃
收录于 2026-10-14 · 最近见到 2026-10-16 · 共见到 4 次 · 被 3 个来源列出
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综合分 303 · 3 个来源 · mcp
常见问题(答案都来自我们的记录)
怎么安装?
我们【没有】从该仓库取到安装命令(我们的 install 覆盖率只有约 4%)。请看它的 README 或 releases 页。
它适合谁 / 用来做什么?
我们把它归在这些标签下: MCP 服务。标签来自条目自身,不是我们强加的分类。
谁维护它、还在更新吗?
我们收录于 2026-10-14;最近见到 2026-10-16。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。
第三方质量标记

Market Sizing MCP Server

以下摘录自该仓库的 README(片段) · 在 GitHub 读完整 README →

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.
*Previously featured in the official MCP community servers list here : https://github.com/modelcontextprotocol/servers/blob/e21dbea731f2ccddcd48525cf9a1e1e405fee12f/README.md*
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
Architecture Overview
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
Development Setup
Docker Deployment
MCP Integration
**HTTP Transport (Recommended)**
For Claude Desktop, add to your configuration:
**STDIO Transport (Alternative)**
For MCP Inspector:
Usage
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:
**Professional Defaults Include:**
- 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
**Perfect for:**
- First-time users getting immediate results without parameter research
- Demo environments showcasing professional market analysis capabilities
- Rapid prototyping with realistic business data and scenarios
Basic Tool Usage
Business Analysis Prompts
Access professional templates through the prompts interface:
MCP Tools - Three-Tier Architecture System
The TAM MCP Server provides **28 total MCP tools** organized 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
来源
awesome · https://github.com/gvaibhav/TAM-MCP-Server
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