OpenClaw Integration: Connect to LinkedIn via Zevari

Overview

OpenClaw is a self-hosted autonomous runtime configured by a single SOUL.md and run 24/7. Zevari is the LinkedIn execution layer it calls. Connect two ways: add the Zevari MCP server to SOUL.md, or call the bearer-token REST API. Both run the same approval gate and safety model.

Prerequisites

A Zevari workspace with an active subscription, an API key (zvr_api_..., sent as Authorization: Bearer), and a connected LinkedIn sender. The canonical REST reference is the bring-your-own-agent page.

• Bring your own agent (REST + bearer)

Connect via SOUL.md (MCP)

Register the Zevari MCP server in SOUL.md with url https://mcp.zevari.ai/mcp and auth Bearer ${ZEVARI_API_KEY}. The agent then discovers Zevari's LinkedIn tools automatically.

Connect via REST (bearer)

For agents that prefer plain HTTP, call https://api.zevari.ai with Authorization: Bearer <key> - for example, search recent signal posts, then score, draft, and stage a campaign.

A working loop: find, score, stage, approve

Search posts or profiles, ICP-score the matches, draft in your voice, create a campaign, then stage each write with confirmations.requestAction. A human approves, and only then does the write execute. The agent runs 24/7 but never sends unattended.

Safety and approval notes

Every LinkedIn write is staged for approval. Server-side weekly ceilings (Free 40, Premium 80, Sales Navigator 150), working hours, and burst caps are enforced, and no browser cookies are used.

• Approval gates over the API
• OpenClaw on zevari.ai

Docs Links

• Help Center

  Human-facing guide to Zevari skills, workflows, agents, videos, safety, and support.

• Workflow Guide

  LinkedIn outreach, content, prospect research, audience analysis, campaign, inbox, and GTM workflows for Claude.

• Prompting Guide

  Copy-ready prompts that require AI assistants to read the MCP reference before acting.

• Workspaces and Sender Seats

  Human-facing setup guide for workspaces, members, billing, add-on LinkedIn sender seats, and teammate LinkedIn connections.

• Safety Center

  Human-facing guide to Zevari safety guardrails, warm-up, pauses, blocked actions, and recovery state.

• Warm-Up

  Human-facing guide to LinkedIn sender warm-up and gradual activity ramping.

• API Playbooks

  Ordered REST call flows for developers and AI agents using the Zevari API.

• MCP Reference

  Agent-facing tool schemas, capability contracts, examples, gotchas, and recovery guidance.

• API Reference

  Public REST API reference powered by the Zevari OpenAPI document.

• MCP Reference JSON

  Machine-readable MCP tool reference.

• LLMs Full

  AI-readable Zevari documentation bundle.

• Support

  Send bug reports, support handoffs, and feature requests.