Soumyadeep Mukherjee

Built an MCP for Google Search Console → AI workflows (intro + looking for feedback)

Hi everyone — I’m Soumyadeep 👋
Co-Founder at Ekamoira. Long-time SEO / agency operator turned product builder.

After years of running SEO and content teams, we kept running into the same problem:
GSC data is critical, but painfully slow to analyze and hard to plug into modern AI workflows.

So we built our first product: a Google Search Console MCP (Model Context Protocol) that lets AI tools query, analyze, and reason over GSC data directly — instead of exporting CSVs or building one-off scripts.

The idea is simple:

  • Make GSC analysis a 2–5 minute job

  • Let SEOs and content teams ask questions in natural language

  • Fit cleanly into existing AI / agentic workflows (Claude, ChatGPT, etc.)

We’re outsiders to this community and still very much in learning mode.
Right now, we’re less focused on promotion and more on:

  • sanity-checking the idea

  • understanding real-world use cases

  • hearing what should exist but doesn’t

If you’re working with GSC, AI, or agentic SEO workflows and have thoughts (or skepticism), I’d genuinely value the feedback.

Happy to share details or demos if helpful — and equally happy to just listen.

Thanks for having me here.

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Yulia Nazarenko

Not a SEO, but a Generalist Marketer here. Top off mind use case: ability to compare data from branded and non-branded queries. Sounds like something your tool can solve! Good luck with your launch!

Soumyadeep Mukherjee

@yulianazarenko - thanks ! That's actually one of the most common prompts we use ourselves. You can literally ask Claude: "Compare my branded vs      

  non-branded query performance this month" and it'll segment your data, show CTR differences, and highlight which non-branded terms are   

  gaining traction. Perfect for understanding true organic growth vs brand awareness. Appreciate the support!