Add the LinkedIn MCP to ChatGPT as a connector
ChatGPT connects to a LinkedIn MCP through Developer mode. Turn it on under Settings, Apps, Advanced, create a connector named Zevari AI with the URL https://mcp.zevari.ai/mcp, and approve access in your browser. Every send waits for your approval by default.
How ChatGPT works with Zevari
- Personal plans
In ChatGPT on the web, turn on Developer mode under Settings, Apps, Advanced, then choose Create. Name it Zevari AI, paste https://mcp.zevari.ai/mcp, and approve access in your browser.
- Business, Enterprise and Edu
A workspace admin or owner turns on Developer mode and creates the app under Workspace Settings, Apps, Create. Members connect to it once it is available.
- Using the Codex CLI instead
Codex is set up separately with codex mcp add and codex mcp login. See /linkedin-mcp/codex.
Common workflows
- Research prospects before outreach
Ask your AI client to research people, companies, triggers, and context before writing the first message.
- Draft LinkedIn connection notes, DMs, and content
Generate channel-aware outreach and content that matches your positioning, ICP, tone, and the prospect context.
- Stage actions for review
Prepare connection requests, replies, comments, follow-ups, content, and campaign actions in Zevari before sensitive actions execute.
- Classify replies and inbox intent
Turn inbound conversations into next steps, hot leads, follow-up tasks, and pipeline updates.
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.