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MCP Ads vs Ryph

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 Ryph
DetailMCP Ads logo MCP AdsRyph logo Ryph
What it doesConnect your ad accounts to Claude and ChatGPT to run campaigns, get reports, and block wasted spend by asking Open-source AI agent orchestration platform for incident response and automation
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFree trial Open source
Pricing7-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. Not given
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
  • Incident response with agent investigation and pull request generation
  • Automated workflows triggered on schedules or webhooks
  • Agent summoning from GitHub, GitLab and Radicle with /ryph command
  • Semantic memory system for shared and persistent agent learning
  • Credentials kept behind gateways with no access in sandbox
  • Customized environments per repository with cached dependencies
  • Browser use for agent interactions with live watching
  • Artifacts and pages for reports and overviews
  • Deployment options from laptop to Kubernetes
  • Tool proxy with allowlisted MCP server integrations
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
  • Agents work without holding real credentials or keys
  • Changes ship as patches that require review before merge
  • Runs on your own infrastructure from laptop to cloud
  • Semantic memory learns across runs with deduplication and contradiction handling
  • Built-in safety assuming agents can be manipulated or exploited
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)9 −12 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)40
Citation Flow (Majestic)180
Referring domains (Majestic)5520

4 details filled in for both companies.

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