Email MCP server for Claude, Cursor and other AI agents to access every mailbox you own
AI model of your product's business logic accessible to people and AI agents
Stage
Not given
Not given
Founded
Not given
Not given
Based in
GB
GB
Pricing model
Free trial
Freemium
Pricing
Monthly: €8.99/month after 7-day free trial. Yearly: €30/year (€2.50/month equivalent, 72% savings). Includes both the Mac app and the MCP connector.
Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49
Key features
Search across multiple mailboxes simultaneously
Read full email threads with conversation history
Move, archive and mark emails as read
Scoped permissions: read, change, and send separately
Attach files up to 18 MB to drafts and emails
Download and open email attachments
Native macOS mail client included
Support for multiple email providers
Encrypted file handling during transfer
Revoke access anytime within the hour
Builds features, rules and customer paths and keeps them current with every push
Shows what each commit changed in the business logic, not only in the code
Provides change impact analysis before merge showing what could break
Checks PRDs and specifications against the product
Delivers understanding to AI agents over MCP
Runs locally on your machine with GMM Local
Finds risky patterns and problems in the product
Enterprise deployment inside your security boundary
Integrates with Claude Code, Cursor, Codex and VS Code
MCP access for agents with 1-10 credits per answer
What makes it different
Works with any MCP client, not locked to one AI platform
No installation required; works on macOS, Windows and Linux
Access unlimited email accounts simultaneously in one connection
Send emails with opt-in permission and approval workflow
Nearly 3× fewer errors on Benchmark 001 compared to alternatives
8.4K tokens per question instead of 27.4K for competitors
Results published and measurable; method is proprietary
Reduces AI cost per completed agent action from $0.35 to $0.08