google_ads_mcp vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
google_ads_mcp by google-marketing-solutions | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 203 | ★ 85,748 |
| 30d uses | — | — |
| Score | 46 | 77 |
| Official | — | ✓ |
| Categories | E-commerceAI / LLM ToolsDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
google_ads_mcp · Summary
Google Ads MCP server enables LLMs to interact with Google Ads API via GAQL queries and ad management tools.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
google_ads_mcp · Use cases
- Automate Google Ads reporting by querying campaign metrics through natural language
- Create and manage advertising campaigns directly through conversational AI interfaces
- Generate performance insights across multiple Google Ads accounts
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
google_ads_mcp · Install
Installation
- Install Python 3.12 with pipx or uv
- Set up Google Ads credentials in a
google-ads.yamlfile with required credentials - Configure environment variables (optional):
ADS_MCP_ENABLE_MUTATIONS,GOOGLE_ADS_CREDENTIALS,USE_GOOGLE_OAUTH_ACCESS_TOKEN
Launch with pipx
pipx run --spec git+https://github.com/google-marketing-solutions/google_ads_mcp.git run-mcp-serverLocal development
uv pip sync
uv run -m ads_mcp.serverClaude Desktop Configuration
{
"mcpServers": {
"GoogleAds": {
"command": "pipx",
"args": [
"run",
"--spec",
"git+https://github.com/google-marketing-solutions/google_ads_mcp.git",
"run-mcp-server"
],
"env": {
"GOOGLE_ADS_CREDENTIALS": "PATH_TO_YAML"
},
"timeout": 30000
}
}
}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.