The short answer: you connect LinkedIn to your AI with Cclarity, a LinkedIn MCP that never automates anything. In Claude or ChatGPT, open the connector settings and paste one URL (https://api.cclarity.io/mcp). In Claude Code or Codex, run one command. Authorise LinkedIn, and your AI can analyse your posts, engagers, and profile viewers in plain English. Setup takes about 30 seconds; your first data sync lands within 24 hours.
Cclarity never automates anything. It never sends auto-DMs, comments, or connection requests, and never posts on a schedule; it publishes a post only when you explicitly ask. Otherwise it just reads data you can already see in LinkedIn, on a randomised daily schedule. The AI is the interface; Cclarity just gives it the data. Pricing is $29/mo for the first 50 founders, then $49/mo, and you bring your own Claude or ChatGPT subscription so there is no AI usage cap.
How to connect LinkedIn to Claude (web or desktop)
Claude supports custom connectors natively, so this is the fastest path for most people.
- Open Claude, then go to Settings → Connectors.
- Click Add custom connector and paste the Cclarity URL below.
- Authorise LinkedIn when prompted. No automation, nothing sent on your behalf.
https://api.cclarity.io/mcp
Once connected, ask Claude something like: "Which engagers from my last post match my ICP?" and it will return a ranked list.
How to connect LinkedIn to ChatGPT (Plus, Pro, or Team)
ChatGPT supports custom MCP connectors on paid plans. The flow mirrors Claude.
- Confirm your plan supports custom connectors (Plus, Pro, or Team).
- Go to Settings → Connectors → Add a connector.
- Choose Custom MCP connector and paste the Cclarity URL below, then authorise LinkedIn.
https://api.cclarity.io/mcp
Free ChatGPT plans do not support custom MCP connectors yet, so you will need Plus, Pro, or Team to use Cclarity inside ChatGPT.
How to connect LinkedIn to Claude Code
For the terminal, Cclarity installs as a project-level MCP. No global install, no dashboard.
- From your project root, run the command below.
- Restart Claude Code so it picks up the new MCP.
- Say "Log me into Cclarity" to authorise LinkedIn.
npx -y @cclarity-packages/cli@latest init
This writes an .mcp.json entry to your project; the server runs locally on demand via npx.
How to connect LinkedIn to OpenAI Codex
Codex (CLI or IDE) uses the same one-command setup as Claude Code.
- Run the command below from your project root.
- Restart Codex so it loads the new MCP.
- Say "Log me into Cclarity" to authorise LinkedIn.
npx -y @cclarity-packages/cli@latest init
How to connect LinkedIn to other MCP-compatible AI tools
Cclarity is a standard MCP server, so it works in any client that supports the Model Context Protocol, including Cursor and Windsurf. Add a new MCP server in your client's settings and point it at the Cclarity URL, or run the CLI from your project root if the client reads .mcp.json.
https://api.cclarity.io/mcp
If your AI client speaks MCP, it can read your LinkedIn through Cclarity. New to the concept? Start with what a LinkedIn MCP is.
What happens after you connect
The flow is the same whichever tool you use.
- Paste or run. Add the URL in Claude or ChatGPT, or run the CLI in Claude Code or Codex.
- Sign in. A one-time sign-in to Cclarity happens inside your AI.
- Claim. Founder pricing, $29/month locked for life, while the first 50 spots last.
- First sync. Ranked insights about your posts, engagers, and profile viewers arrive within 24 hours.
Is it safe to connect LinkedIn to an AI tool?
Yes, because Cclarity never automates anything by design. It never sends auto-DMs, comments, or connection requests on your behalf, and never posts on a schedule; it publishes a post only when you explicitly ask, and it does not scrape. It reads the data you can already see in LinkedIn, through LinkedIn's authorised flow, on a randomised daily schedule rather than real-time. Predictable real-time pulls and automated actions are what trigger account restrictions, and Cclarity does neither. You see the intelligence; you take every action yourself. For the numbers behind what that intelligence surfaces, see the LinkedIn lead generation statistics.