Ship a LinkedIn agent in Codex without rebuilding the GTM plumbing
Zevari is a Codex MCP workflow layer for LinkedIn and GTM agents. It gives Codex tools for prospect research, outreach drafting, inbox triage, campaign preparation, and approval-gated actions through the Model Context Protocol.
How Codex talks to LinkedIn through Zevari
- Spawn the MCP server locally
Codex starts Zevari in your developer environment and discovers the GTM tools exposed to your workspace.
- Compose real agent workflows
Use Codex to write scripts that research prospects, score fit, draft messages, classify replies, and prepare campaigns.
- Keep writes behind approvals
Connection requests, messages, comments, posts, and campaign actions remain reviewable before execution.
Build versus buy
- OAuth and account state
Use Zevari workspace connection and permissions instead of rebuilding every account flow.
- Tool schema maintenance
Codex discovers Zevari tools through MCP instead of hardcoding a custom LinkedIn adapter.
- Approval primitives
Write actions can be staged and resumed through Zevari review boundaries.
- Operational controls
Pacing, duplicate checks, stale-state checks, and blocked-action visibility stay in the product layer.