
Marketing Analytics Ai Mcp
Pull marketing and campaign analytics into agent conversations so you can interpret metrics while iterating growth experiments.
Overview
marketing-analytics-ai-mcp is a MCP server for the Grow phase that brings marketing analytics queries and AI interpretation into your agent via stdio.
What is this MCP server?
- marketing-analytics-ai-mcp v1.0.4 stdio MCP on PyPI
- Growth-oriented AI analytics bridge for coding agents
- Supports questioning campaign and funnel data in-agent
- MEOK AI Labs registry entry with GitHub source
- stdio transport for local Claude Code / Cursor setups
- Version 1.0.4
- PyPI identifier marketing-analytics-ai-mcp
What problem does it solve?
You lose hours tab-switching between ad and analytics dashboards when your agent cannot see marketing performance context.
Who is it for?
Indie SaaS and content founders who run growth experiments and want analytics-aware agent sessions.
Skip if: Pre-launch builders with no traffic yet, or enterprises needing a full BI warehouse replacement.
What do I get? / Deliverables
Marketing metrics become tool-callable in the agent so you can summarize campaigns and plan next experiments in one place.
- Agent-accessible marketing analytics tool surface
- In-session summaries and follow-ups on campaign or funnel questions
Recommended MCP Servers
Journey fit
After ship and launch, solo builders need analytics context to decide what to double down on—this MCP targets that grow phase. Analytics is the canonical subphase for tools that help read funnels, campaigns, and performance data rather than write product code.
How it compares
Agent-side marketing analytics MCP, not Google Analytics UI automation or a data-engineering ETL stack.
Common Questions / FAQ
Who is marketing-analytics-ai-mcp for?
Solo builders in the grow phase who want their coding agent to reason about marketing and campaign analytics through MCP tools.
When should I use marketing-analytics-ai-mcp?
Use it after launch when you are reviewing funnel performance, campaign results, or content attribution and want answers inside Claude Code or Cursor.
How do I add marketing-analytics-ai-mcp to my agent?
Install the PyPI package marketing-analytics-ai-mcp, add stdio MCP configuration per upstream README, wire any required API keys, then restart your host.