Provides campaign performance, keyword quality, and search terms.
Allows querying search queries, pages, CTR/position, period comparison, movers & losers.
Enables deal/company/contact search, pipeline summary, and activity timelines.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Marketing Analytics MCP Server Show me my top performing search queries from last month."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A Model Context Protocol server that gives an LLM live, read-only access to a marketing analytics stack — so you can ask questions in natural language instead of jumping between dashboards. Exposes tools across Google Search Console, GA4, Google Ads, HubSpot CRM, and Bing Webmaster Tools, plus composite cross-platform rollups.
Runs locally over stdio (Claude Desktop / Claude Code) or as a remote streamable-HTTP service (e.g. Cloud Run) with bearer-token auth.
Area | Examples |
Search Console | queries, pages, CTR/position, period comparison, movers & losers |
GA4 | sessions, channels, landing pages by source, funnels, conversions |
Google Ads | campaign performance, keyword quality, search terms |
HubSpot | deal / company / contact search, pipeline summary, activity timelines |
Bing | top queries/pages, branded vs unbranded, crawl stats |
Composite | cross-platform marketing snapshot |
Related MCP server: GSC Analyst Connector
clients/ — one thin async client per platform (auth + raw calls).
tools/ — MCP tool definitions that shape client output for an LLM.
cache.py — TTL cache to stay inside free-tier API limits.
circuit_breaker.py — trips on repeated upstream failures so one bad provider can't hang the server.
server.py — registers tools and serves stdio or streamable-HTTP.
pip install -e .
cp .env.example .env # fill in your own credentials + property IDs
python -m mcp_server.serverAll credentials and property/account IDs come from environment variables (see
.env.example) — nothing is hardcoded. You point it at your own analytics
accounts.
A Dockerfile + Procfile are included. Set MCP_AUTH_TOKEN so only requests
carrying the bearer token can connect, then deploy to any container host.
pytestUnclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
AI marketing agent for Google Ads, Meta, GA4, TikTok, LinkedIn, Shopify, HubSpot and more.
SEO research, audits, backlinks, GSC, and content workflow tools for AI agents.
Ask AI about your ads — query Meta, TikTok, and Google Ads performance in natural language.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/Dweeb1578/marketing-analytics-mcp'
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