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Reach MCP vs Gamut

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 Gamut
DetailReach MCP logo Reach MCPGamut logo Gamut
What it doesLinkedIn MCP server for AI agents and agencies One shared workspace for all your AI teammates
StageNot given Not given
FoundedNot given Not given
Based inFR Not given
Pricing modelPaid Freemium
Pricing$20/month for the first account, $7/month for accounts 2-10, $5/month for accounts 11+. One plan includes all features. Free trial: $100 in credits, no credit card required. Plus: $30/user/month with $30 usage included. Pro: $100/user/month or $200/user/month with corresponding usage included, each with pay-as-you-go beyond included usage.
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
  • Browser automation and computer control
  • Agentic apps built automatically without coding
  • Integration with frontier AI models from multiple providers
  • Works across team communication channels like Slack, Email, and Telegram
  • Media generation with 300+ image, video and audio models
  • Autonomous 24/7 cloud execution
  • Pre-built agent templates for sales, operations, marketing and support
  • Sandboxed agent execution with permission controls
  • Comprehensive audit logging of all agent actions
  • Open source and self-hostable under MIT license
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
  • No coding required to create and deploy agents
  • Shared team workspace for managing multiple AI agents together
  • Built-in safety and security with sandboxed execution and full audit trails
  • Agents run autonomously 24/7 in the cloud with scheduled and event-based triggers
  • Open source with option to self-host on your own infrastructure
Community votes00
DR (Domain Rating by Ahrefs)22 no change since last check51 no change since last check
Trust Flow (Majestic)1011
Citation Flow (Majestic)2533
Referring domains (Majestic)60152

5 details filled in for both companies.

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