Build GTM agents without rebuilding LinkedIn workflow plumbing
Zevari gives AI engineers a focused MCP surface for LinkedIn and GTM workflows: tools, context, approval boundaries, and product state.
Common workflows
- Use a GTM-specific tool layer
Call workspace-aware research, drafting, inbox, campaign, and confirmation workflows through MCP.
- Keep writes reviewable
Build agents that prepare sensitive work without bypassing operator review gates.
- Compose with other systems
Pair Zevari with other MCP tools where the agent needs non-GTM context.
Safety controls
- Confirmation gates
Sensitive write actions, including messages, comments, connection requests, content publishing, and campaign activation, are routed through review boundaries.
- Account-level controls
Zevari applies pacing, duplicate prevention, stale-state checks, and account-state checks before risky GTM actions proceed.
- Reviewable workspace state
Operators can inspect staged work, recent activity, blocked actions, pending approvals, signals, campaigns, and inbox context in Zevari.