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Reach MCP vs Onlay

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

Reach MCP compared with Onlay
DetailReach MCP logo Reach MCPOnlay logo Onlay
What it doesLinkedIn MCP server for AI agents and agencies Publish documents for feedback, pull edits and comments back into your agent
StageNot given Not given
FoundedNot given Not given
Based inFR GB
Pricing modelPaid Not given
Pricing$20/month for the first account, $7/month for accounts 2-10, $5/month for accounts 11+. One plan includes all features. Free plan: $0, up to five active documents, documents up to 4 MB, 1 GB storage, last ten versions restorable, invite up to ten people per document. Pro plan: $10 USD per month (billed as $120 per year) or $12 USD per month (billed monthly), unlimited active documents, documents up to 16 MB, 50 GB st
Key features
  • LinkedIn messaging and conversation management
  • Connection request management
  • Post activity and comment engagement
  • LinkedIn post scheduling
  • Activity monitoring dashboard
  • Rotating proxy and rate-limit management
  • Multi-account management for agencies
  • REST API for custom integrations
  • Publish HTML or Markdown files with shareable links
  • Readers can leave comments and edit text with author permission
  • Pull edits and comments back as structured data
  • MCP server for agents without file or command access
  • Custom share links with passwords and expiry dates on Pro
  • Version history with restore capability
  • Publish entire folders as sites on Pro plan
  • Connect to external APIs and embed sites on Pro
What makes it different
  • Preview approval system: every write shows numbered preview before sending anything
  • Eight built-in playbooks shipped as AI suggestions, no prompt engineering needed
  • One MCP URL works with Claude, ChatGPT, Cursor, n8n, Make and other MCP clients
  • 30% referral commission for agencies on client subscriptions for 12 months
  • Documents stay active at stable links across multiple published versions
  • Works natively with AI coding agents without requiring manual context management
  • CLI does not require Node, Python or other runtime dependencies
  • Screenshots in comments are listed by ID and only fetched on request
Community votes00
DR (Domain Rating by Ahrefs)18 −1 (down) since last checkNot checked yet no change since last check
Trust Flow (Majestic)100
Citation Flow (Majestic)250
Referring domains (Majestic)600

5 details filled in for both companies.

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