MCP Ads vs Vectorize

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

MCP Ads compared with Vectorize
Detail	MCP Ads	Vectorize
What it does	Connect your ad accounts to Claude and ChatGPT to run campaigns, get reports, and block wasted spend by asking	Agent memory that learns from experience
Stage	Not given	Startup
Founded	Not given	2024
Based in	Not given	US
Pricing model	Free trial	Freemium
Pricing	7-day free trial (no card required initially), then $49/month for Unlimited plan with unlimited tool calls across all platforms and accounts. Team plan: $49 per seat per month, minimum 2 seats.	Self-hosted: Free, MIT licensed. Hindsight Cloud: Pay-as-you-go with free credits to start. Retain (store memories) $10.00 per million tokens, Recall (retrieve memories) $0.75 per million tokens, Reflect (synthesize patterns) $0.05 per call, Iris Extract (structured extraction) $7.50 per million tok
Key features	Real-time campaign reporting and performance analysis across all connected accounts Wasted spend detection and blocking of underperforming search terms All changes require explicit user approval before execution Works with Claude, ChatGPT, Cursor, Windsurf, Codex, Gemini CLI, Grok and other MCP-compatible clients	Per-user persistent memory with preferences, history and decisions kept separate Cross-session persistence allows context to survive weeks between interactions Fast parallel retrieval in under 100ms through four strategies running simultaneously Works with any LLM without losing learned context when swapping models Learns from mistakes and corrects behavior on repeated problems Automatic pattern detection synthesizes individual facts into consolidated knowledge Conflict detection preserves both old and new states with timestamps when facts change Integrates with 20+ coding agents including Claude Code, Cursor, and Copilot
What makes it different	Read all platforms together in one chat instead of switching between separate dashboards Integrated competitor research without needing ad account access No API keys or passwords required; uses OAuth with encrypted tokens	94.6% retrieval accuracy on LongMemEval-S, beating next-best system at 74.0% MIT licensed open source with no usage limits, telemetry or restrictions Reflection layer automatically builds judgment and mental models over time without manual tagging Entity resolution handles hundreds of entities with 99.5% query reduction
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	9 −12 (down) since last check	68 +1 (up) since last check
Trust Flow (Majestic)	4	18
Citation Flow (Majestic)	18	47
Referring domains (Majestic)	552	1378

5 details filled in for both companies.

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