Connect Google Analytics to VS Code
Enable your marketing team to analyze traffic, track conversions, and measure campaign performance through natural language—no complex GA4 queries or manual report building
Which marketing channels drove the most conversions last month?
Based on Google Analytics data, here's your top performing channels:
How it works
1. Approve MCP server
Admin approves Google Analytics as a connector in your MintMCP organization with one click.
2. Configure access
Control who can use which tools across your organization.
3. Connect and use
Team members connect their AI clients and start querying Google Analytics through natural language.
Tools included with Google Analytics MCP
List all GA4 accounts and properties accessible to the user
Retrieve custom dimensions and metrics configured for a property
Get property configuration, timezone, and currency settings
View linked Google Ads accounts for attribution tracking
Query real-time visitor data, active users, and live events
Generate custom reports with dimensions, metrics, and filters
How to connect Google Analytics with VS Code
Connect your Google Analytics
- 1.Create Google Cloud project: Set up a project in Google Cloud Console and enable the Analytics Data API
- 2.Create service account: Create a service account and download the JSON credentials file
- 3.Grant Analytics access: Add the service account email as a viewer to your GA4 property
- 4.Enable Google Analytics MCP: Add Google Analytics as approved connector in your MintMCP org
- 5.Authorize access: Upload JSON credentials file
- 6.Add to virtual MCP server: Add Google Analytics tools to your virtual MCP server for role-based access
Link your Google Analytics MCP to VS Code
- 1.Open VS Code and run the MCP: Add Server command
- 2.Select 'Global' to configure across all workspaces
- 3.Add your MintMCP Gateway server URL (HTTP/SSE transport)
- 4.Configure authentication headers with your credentials
- 5.Access Google Analytics data directly in VS Code through MCP
Virtual MCP Servers
Mix and match tools from different connectors for specific use cases and roles
What are Virtual MCP Servers?
Virtual MCP Servers let you create custom combinations of tools from different integrations. Add a connector once to your organization, then create multiple virtual servers that mix tools from Google Analytics, databases, APIs, and other sources.
Each virtual server can be tailored for specific teams, roles, or use cases—ensuring users only access the tools and data they need.
Share across your organization
Admins create virtual servers once and share them across the organization. Team members connect to pre-configured virtual servers without managing individual connectors or credentials.
This centralized approach ensures consistent access patterns, governance, and security policies across all AI integrations.
Other supported AI clients
One-time setup connects Google Analytics to all your AI tools
Use cases for marketing
Marketing Operations, Growth Marketers, Content Managers
Campaign performance and conversion tracking
Ask 'How many conversions did our paid search campaign generate last month?' or 'Which landing pages have the highest conversion rates?'—AI agents query GA4 to surface campaign ROI, identify high-performing channels, and optimize marketing spend.
Traffic source analysis and attribution
Query 'What's our top traffic source this quarter?' or 'How much organic traffic did our blog posts drive?'—AI agents analyze acquisition data, compare channel performance, and attribute conversions across your marketing mix.
Real-time visitor monitoring
Ask 'How many active users are on the site right now?' or 'Which pages are visitors viewing in real-time?'—AI agents pull live GA4 data to monitor campaign launches, track event traffic, and respond to trends as they happen.
User behavior and content engagement
Query 'What's the average engagement time for blog posts?' or 'Which product pages have the highest bounce rate?'—AI agents analyze behavioral metrics, identify content gaps, and surface insights to improve user experience.
What you get
Faster deployment
Define your Google Analytics connection once, then add more MCP tools as needed through simple config updates. No code required.
Rapid iteration
Build team or use-case specific tools rapidly by adding new queries and parameters to your config. Deploy updates in minutes, not days.
Enterprise governance
All Google Analytics access goes through MintMCP Gateway with full observability, authentication, rate limiting, and audit trails.
FAQs
Yes. MintMCP Gateway is SOC 2 compliant and uses OAuth-based authentication for all Google Analytics MCP interactions.
Ready to connect Google Analytics to VS Code?
Join enterprises that trust MintMCP Gateway to manage their marketing AI integrations securely and efficiently.