Google Search Console MCP vs AT0M
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 AT0M
| Detail | Google Search Console MCP | AT0M |
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| What it does | Ask Search Console in plain language from Claude, ChatGPT, Cursor or Claude Code
| A private System One Decision AI that runs locally
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| Stage | Growing
| Beta
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| Founded | Not given
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| Based in | Not given
| Not given
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| Pricing model | free
| Not given
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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
| - Non-autoregressive with no free text generation
- Multi-question call support in a single forward pass
- Bounded output within supplied candidate set
- Calibrated probabilities without temperature fitting
- Local inference as a Rust binary executable
- Deterministic inference with reproducible results
- Support for choice, score, and yes-no decision types
- CPU, Apple Metal, and CUDA hardware support
- Trainable on your own decisions locally
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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
| - Bounded output structurally prevents off-list answers, unlike generative models
- Calibration by construction without temperature fitting enables direct threshold-based automation
- Local executable keeps inference in your perimeter with no per-decision API dependency
- Cost structure based on electricity, not output tokens
- Deterministic inference with identical results across repeated requests
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| Free plan | Not given
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| Open source | Not given
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| Platforms | 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) | 20 ● no change since last check | 22 ● no change since last check |
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| Trust Flow (Majestic) | 19 | 0 |
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| Citation Flow (Majestic) | 30 | 3 |
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| Referring domains (Majestic) | 22 | 1 |
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4 details filled in for both companies.
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