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TAM-MCP-Server vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

TAM-MCP-Server
by gvaibhav
filesystem
by modelcontextprotocol
Stars★ 29★ 85,748
30d uses
Score4177
Official
Categories
FinanceAI / LLM ToolsDeveloper Tools
File SystemDeveloper ToolsProductivity
LanguageTypeScriptTypeScript
Last commit11 mo agothis month

TAM-MCP-Server · Summary

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

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

TAM-MCP-Server · Use cases

  • Conduct market sizing analysis and TAM/SAM calculations for business planning
  • Access real-time financial and economic data for investment analysis
  • Generate business strategy prompts for funding pitches and market entry plans
  • Perform competitive intelligence and industry analysis
  • Create market forecasts and identify growth opportunities

filesystem · Use cases

  • Enable AI models to read and write project files during development
  • Allow Claude or other MCP clients to browse and analyze codebases
  • Provide secure sandboxed access to specific directories for content generation

TAM-MCP-Server · Install

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"
    }
  }
}

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.