Add the LinkedIn MCP to Claude and Claude Code
To use a LinkedIn MCP in Claude, add Zevari as a custom connector with the URL https://mcp.zevari.ai/mcp, or run claude mcp add --transport http zevari https://mcp.zevari.ai/mcp in Claude Code, then approve access in your browser. Every send waits for your approval by default.
How Claude works with Zevari
- Claude.ai and Claude Desktop
Settings, Connectors, Add custom connector. Name it Zevari AI, paste https://mcp.zevari.ai/mcp, and approve access in your browser. On Team and Enterprise plans an Owner adds the connector first under Organization settings.
- Claude Code
Run claude mcp add --transport http zevari https://mcp.zevari.ai/mcp, then /mcp inside Claude Code to sign in.
- Check the connection
In a new chat, switch Zevari on and ask: Use Zevari to show my available workspaces and LinkedIn senders.
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.