Google Search Console MCP vs Exabase
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Google Search Console MCP compared with Exabase
| Detail | 
Google Search Console MCP | 
Exabase |
|---|
| What it does | Ask Search Console in plain language from Claude, ChatGPT, Cursor or Claude Code
| Context infrastructure for AI agents
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|---|
| Stage | Growing
| Startup
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| Founded | Not given
| Not given
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| Based in | Not given
| GB
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| Pricing model | Free
| Freemium
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| Pricing | Free with no credit card required, no trial limits, and no paywall features.
| Not given
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| Key features | - Read Search Console data in plain language
- Site overview with clicks, impressions, CTR and average position
- Find ranking opportunities for queries ranking 5-20
- Detect keyword cannibalization across pages
- Analyze branded vs non-branded search traffic
- Inspect URL indexing status and crawl data
- View submitted sitemaps and their errors
- Works with Claude, ChatGPT, Cursor and other MCP clients
- Encrypted token storage and hash-based link revocation
| - Memory system with self-managing advanced memory
- Isolated per-tenant instances with version rollback
- Portable context server with files, notes and links
- Sub-document multi-modal hybrid search
- Structured data extraction from PDFs, websites and images
- Autonomous agents for knowledge base automation
- 99.9% uptime SLA
- AES-256 encryption at rest and SSL in transit
- TypeScript SDK and REST API
- Model-agnostic and framework-agnostic
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| What makes it different | - No Google Cloud project or credentials.json required to set up
- Completely free with no card, trial limits, or locked features
- Read-only access prevents any modifications to Search Console data
- Works with any MCP client that supports remote servers
| - Cut token spend by up to 81% through persistent agent memory instead of full context window stuffing
- State-of-the-art on two leading AI memory benchmarks
- Full-stack data layer eliminating need for multiple services
- Production-tested at scale powering Fabric platform
- Self-improving memory that tracks relationships and resolves contradictions
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 30 ▲ +1 (up) since last check | 29 ● no change since last check |
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| Trust Flow (Majestic) | 19 | 11 |
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| Citation Flow (Majestic) | 30 | 32 |
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| Referring domains (Majestic) | 22 | 122 |
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5 details filled in for both companies.
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