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mcp-google-ads vs filesystem

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

mcp-google-ads
by cohnen
filesystem
by modelcontextprotocol
Stars★ 609★ 85,748
30d uses——
Score4877
Official—✓
Categories
FinanceProductivityAI / LLM Tools
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last commit7 mo agothis month

mcp-google-ads · Summary

A Python MCP server that bridges Google Ads with Claude AI for natural language advertising data analysis and management.

filesystem · Summary

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

mcp-google-ads · Use cases

  • Analyze campaign performance metrics through natural language queries
  • Generate visual reports of advertising data with Claude
  • Optimize ad budgets and bid strategies based on performance insights

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

mcp-google-ads · Install

  1. Clone the repository: git clone https://github.com/ixigo/mcp-google-ads.git
  2. Set up Google Ads API credentials (OAuth or Service Account)
  3. Create a virtual environment: uv venv .venv
  4. Activate the environment: source .venv/bin/activate
  5. Install dependencies: uv pip install -r requirements.txt
  6. Configure your .env file with credentials
  7. Add to Claude Desktop config:
{
  "mcpServers": {
    "google-ads": {
      "command": "python",
      "args": ["-m", "mcp_google_ads.server"],
      "env": {
        "GOOGLE_ADS_DEVELOPER_TOKEN": "your-token",
        "GOOGLE_ADS_CLIENT_ID": "your-client-id",
        "GOOGLE_ADS_CLIENT_SECRET": "your-client-secret",
        "GOOGLE_ADS_REFRESH_TOKEN": "your-refresh-token",
        "GOOGLE_ADS_LOGIN_CUSTOMER_ID": "your-id"
      }
    }
  }
}

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.