# Zevari Docs - Start Here

URL: https://docs.zevari.ai/start

> Connect any AI agent to LinkedIn safely. Choose your path by client or goal, run the quickstart, and find the API and MCP reference.

## What is Zevari

Zevari is the safe LinkedIn execution layer for AI agents. Connect Claude, Codex, ChatGPT, OpenClaw, Hermes Agent, or your own code over MCP or a REST API; the agent can search, score, draft, and run campaigns, and every write is staged for your approval. No browser cookies, no bans.

## Choose your path

- [Quickstart (5 minutes)](https://docs.zevari.ai/getting-started): Connect Claude over MCP and send your first approval-gated request.
- [Connect an agent over MCP](https://docs.zevari.ai/api/connect/openclaw): Claude, Codex, ChatGPT, OpenClaw, Hermes Agent.
- [Connect over REST (bring your own)](https://docs.zevari.ai/api/connect/bring-your-own-agent): Any runtime, cron, or custom code via a bearer token.
- [Look up an endpoint](https://docs.zevari.ai/api/reference): The REST API and MCP reference.

## Most-used pages

- [API overview](https://docs.zevari.ai/api/overview)
- [Approvals](https://docs.zevari.ai/api/approvals)
- [Connect an email provider](https://docs.zevari.ai/help/email-provider)
- [Set up reply email](https://docs.zevari.ai/help/reply-email)
- [Help Center](https://docs.zevari.ai/help): Human-facing guide to Zevari skills, workflows, agents, videos, safety, and support.
- [Workflow Guide](https://docs.zevari.ai/help/workflows): LinkedIn outreach, content, prospect research, audience analysis, campaign, inbox, and GTM workflows for Claude.
- [Prompting Guide](https://docs.zevari.ai/help/prompting-guide): Copy-ready prompts that require AI assistants to read the MCP reference before acting.
- [Workspaces and Sender Seats](https://docs.zevari.ai/help/workspaces-and-seats): Human-facing setup guide for free workspaces, payer-account billing, members, funded LinkedIn seats, and sender associations.
- [Safety Center](https://docs.zevari.ai/help/safetycenter): Human-facing guide to Zevari safety guardrails, warm-up, pauses, blocked actions, and recovery state.
- [Warm-Up](https://docs.zevari.ai/help/warm-up): Human-facing guide to LinkedIn sender warm-up and gradual activity ramping.
- [API Playbooks](https://docs.zevari.ai/api/playbooks): Ordered REST call flows for developers and AI agents using the Zevari API.
- [MoltSets + LinkedIn Workflows](https://docs.zevari.ai/api/moltsets-linkedin-workflows): Use MoltSets verified contact data with Zevari's LinkedIn enrichment, campaign, and approval-gated execution layer.
- [MCP Reference](https://docs.zevari.ai/mcp/reference): Agent-facing tool schemas, capability contracts, examples, gotchas, and recovery guidance.
- [API Reference](https://docs.zevari.ai/api/reference): Public REST API reference powered by the Zevari OpenAPI document.
- [MCP Reference JSON](https://api.zevari.ai/v1/mcp-reference.json): Machine-readable MCP tool reference.
- [LLMs Full](https://api.zevari.ai/llms-full.txt): AI-readable Zevari documentation bundle.
- [Support](mailto:issues@zevari.ai): Send bug reports, support handoffs, and feature requests.

## Connect your agent

- [Quickstart](https://zevari.ai/quickstart)
- [Operator pricing](https://zevari.ai/pricing)