Get MCP Ads vs Perseus Computing
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Get MCP Ads compared with Perseus Computing
| Detail | 
Get MCP Ads | 
Perseus Computing |
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| What it does | Connect your ad accounts to Claude or ChatGPT with 600 tools and 214 media-buying playbooks
| High-assurance infrastructure for AI agents
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
| US
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| Pricing model | Freemium
| Open source
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| Pricing | Free: $0/month (1 ad account, 1 seat, 200 tool calls per month, read only). Pro: $29/month (4 ad accounts, 1 seat, unlimited tool calls, reads and writes). Team: $99/month (12 ad accounts, 5 seats, unlimited tool calls, reads and writes). Enterprise: contact for pricing (unlimited ad accounts, 5 sea
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| Key features | - 600 implemented tools across 14 advertising platforms
- 214 media-buying playbooks for analysis and optimization
- Preview-before-apply workflow for all campaign changes
- Per-account granular access control
- Support for 14 advertising and analytics platforms
- Natural language queries against advertising accounts
- AES-256-GCM token encryption before storage
- Bulk ad creation with Google Drive and Dropbox imports
- Google Sheets exports with scheduled automatic refresh
| - Harpe: chooses what an AI agent reads under a token budget with consistent results
- Kibisis: keeps agent memory on your hardware with AES-256-GCM encryption
- Argus: append-only record that detects edits with cryptographic verification
- No network code by default for local and disconnected use
- MIT License with published code, benchmarks and raw results
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| What makes it different | - One URL connection with no local installation required
- Natural conversation interface instead of query language
- Automatic safety with preview and confirmation before changes apply
- Works with multiple AI assistants: Claude, ChatGPT, Cursor, Codex
- Media-buying playbooks guide AI through structured analysis workflows
| - Measured empirical validation across 6,111 questions outperforming full-context models
- Zero plaintext on disk with encrypted vaults matching plaintext accuracy
- 78.3% fewer tokens sent to the model with a 1,200-token budget per turn
- Preserves conversational chronology and relational qualifiers under token budgets
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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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 15 ▲ +1 (up) since last check | 42 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 9 | 3 |
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| Citation Flow (Majestic) | 32 | 24 |
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| Referring domains (Majestic) | 45 | 62 |
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4 details filled in for both companies.
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