Gmelius MCP Connector for Claude
A+Turn Gmail into a collaborative workspace with shared inboxes, email delegation, and workflow automation for teams.
Connect your Gmelius account to any AI agent and take full control of your team's collaborative workspace and high-fidelity shared inbox orchestration through natural conversation.
What you can do
- Conversation Portfolio Orchestration — List all collaborative email threads, retrieve detailed high-fidelity history, and monitor ticket status programmatically
- Kanban Pipeline Intelligence — Query team project boards, retrieve detailed technical metadata, and stay on top of workflow progress in real-time
- Card & Task Orchestration — Programmatically generate new task cards or email items on specific boards directly through your agent for perfectly coordinated delivery
- Sequence Monitoring — Access configured automated high-fidelity email sequences and monitor their status directly through your agent for outreach optimization
- Template Discovery — Access your complete directory of high-fidelity shared email templates and inboxes to choose the right context for every interaction
- Operational Monitoring — Verify account-level API connectivity and monitor collaborative volume directly through your agent for perfectly coordinated service scaling
How it works
- Subscribe to this server
- Retrieve your Access Token from your Gmelius dashboard (Settings > API)
- Start managing your collaborative growth from Claude, Cursor, or any MCP client
No more manual status updates or jumping between shared inboxes. Your AI acts as your dedicated collaboration coordinator and shared inbox architect.
Who is this for?
- Team Leads — instantly retrieve project board statuses and monitor team responsiveness using natural language commands without leaving your creative workspace
- Customer Success Managers — verify high-fidelity conversation history and manage shared tags to ensure healthy client relationships
- Operations Managers — analyze collaborative workflows and monitor sequence performance through simple AI queries
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