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Connect marketing, analytics, and commerce platforms to read, write, and automate data.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.djr4/datavessel" MCP server from askskill: Run: claude mcp add --transport http 'io-github-djr4-datavessel' 'https://mcp.datavessel.io/mcp'
Read the last 30 days of data from GA4, Google Ads, Meta Ads, and Search Console. Aggregate sessions, conversions, spend, and ROAS by channel, then output a comparison table and three key findings.
A cross-platform performance summary table with concise insights for campaign review.
Read the last 8 weeks of Shopify order data and combine it with Google Ads and Meta Ads spend. Analyze revenue, ad cost, and ROAS by product category, and identify the categories worth increasing budget on.
A category-level sales and advertising analysis with budget adjustment recommendations.
Use this tool to write core Search Console and GA4 metrics into my data table every day, including date, landing page, clicks, impressions, sessions, and conversions. Also explain the required connection steps.
An actionable automation plan, field mapping details, and a recommended daily sync workflow.
Query GA4 reports and manage analytics settings using natural language.
Use natural language to run GA4 reports and manage analytics settings.
Connect Claude to read and write Google and Meta marketing data.
Manage ads and analyze GA4 performance across platforms with AI.
Automate Google Ads and GA4 data lookup, reporting, and account discovery.
Connect AI agents to GA4 for schema discovery and aggregated analysis.