Architecture Review: Ekamoira

Ekamoira claims to be the bridge that lets you Query Google Search Console data directly in Claude & ChatGPT. It positions itself as a “Zero setup” solution to the “Export CSV -> Upload to ChatGPT -> Hallucinate” workflow that plagues SEOs and developers.

Let’s look under the hood.

🛠️ The Tech Stack

Ekamoira is not a standard SaaS dashboard; it is a Hosted MCP (Model Context Protocol) Server. This is a significant architectural shift in how AI tools ingest data.

• Core Protocol: MCP (Model Context Protocol). Instead of building a custom UI, Ekamoira acts as a middleware server that speaks the MCP standard. This allows LLM clients (like Claude Desktop or Cursor) to “call” Ekamoira as a local tool.
• Backend & Auth: Supabase. Handles the OAuth handshake with Google Search Console and manages user sessions/persistence.
• Frontend: Vercel (Next.js). Used for the landing page and the configuration dashboard where users connect their Google accounts.
• Infrastructure: Sevalla. The actual MCP server processes-which need to run persistently to respond to LLM queries-are hosted here.
• Data Layer: Google Search Console API. The tool proxies natural language requests from the LLM into structured GSC API queries (filtering by date, query, page, etc.) and returns raw JSON data which the LLM then interprets.

Developer Use Case: Instead of context-switching to the GSC dashboard, a developer using Cursor can simply ask: “Which pages on my doc site have high impressions but low CTR?” The IDE (via Ekamoira) fetches real-time data and displays it inline.

💰 Pricing Model

Ekamoira operates on a Hosted SaaS model, effectively selling “convenience” over the open-source alternative.

• Free Trial: Offers a 30-day free trial with no credit card required.
• Paid Subscription: Post-trial, it converts to a paid subscription. This pays for the hosting of the MCP server and the maintenance of the OAuth integration.
• The Value Prop: While you could run a local open-source GSC MCP server (via Docker), Ekamoira charges to remove the friction of setting up local environments, handling token refreshes, and keeping the server alive.

⚖️ Architect’s Verdict

Verdict: Wrapper (Utility Class)

Ekamoira is a textbook “Utility Wrapper.” It wraps a public API (Google Search Console) and a public standard (MCP) into a managed service.

• Is it Deep Tech? No. The heavy lifting is done by the MCP protocol (Anthropic) and the LLM itself. Ekamoira is the plumbing.
• Is it Useful? Extremely. For developers and SEOs, the friction of setting up a local MCP server for every tool is high. Ekamoira solves the “Auth & Hosting” problem, making GSC data accessible in AI chat interfaces instantly.
• Production Ready? Yes. It leverages stable infrastructure (Supabase/Vercel) and solves a real pain point (CSV exports).

Recommendation: If you are a developer comfortable with Docker, you might prefer self-hosting an open-source MCP server. For everyone else (especially agencies and SEOs), Ekamoira is a time-saving layer worth the subscription.