# Add the LinkedIn MCP to Gemini and Gemini CLI

URL: https://zevari.ai/linkedin-mcp/gemini

> Add the Zevari LinkedIn MCP to the Gemini app as a custom app, or to Gemini CLI or Antigravity in one step, then sign in in your browser. Six specialists for LinkedIn and email. Every send waits for your approval until you switch a trained specialist to Autopilot.

LinkedIn MCP for Gemini

To use a LinkedIn MCP in Gemini, add https://mcp.zevari.ai/mcp as a custom app in the Gemini web app, or register it in Gemini CLI or Antigravity, then sign in to Zevari in your browser. Gemini gets Zevari's hosted LinkedIn and email tools: prospect search, ICP scoring, drafts in your voice, campaigns and reply triage. No cookies, and every send waits for your approval until you switch a trained specialist to Autopilot.

[Start free trial](https://zevari.ai/auth/login?mode=signup&redirect=/app) See the steps

## Gemini app

1. 1
  Open Connected Apps
  On a computer, open gemini.google.com, then Settings and Connected Apps. Custom apps are added on the web; they then work in the mobile app too.
2. 2
  Add a custom app
  Under Custom apps, add a custom app link and paste the URL, then choose Next.
  ```
  https://mcp.zevari.ai/mcp
  ```
3. 3
  Sign in
  Follow the prompts to sign in to Zevari and approve access.
4. 4
  Check it in a new chat
  Ask Gemini:
  ```
  Use Zevari to show my available workspaces and LinkedIn senders.
  ```

## Gemini CLI

1. 1
  Register the server
  Run this in your terminal. It saves Zevari for every project on this computer.
  ```
  gemini mcp add --transport http --scope user zevari https://mcp.zevari.ai/mcp
  ```
2. 2
  Sign in
  Start Gemini CLI. It opens the Zevari sign-in in your browser the first time it connects. To sign in again later, run:
  ```
  /mcp auth zevari
  ```
3. 3
  Check the connection
  Run /mcp to see zevari in the list, then ask:
  ```
  Use Zevari to show my available workspaces and LinkedIn senders.
  ```

## Antigravity

1. 1
  Add the server
  Add this entry to ~/.gemini/config/mcp_config.json.
  ```
  { "mcpServers": { "zevari": { "serverUrl": "https://mcp.zevari.ai/mcp" } } }
  ```
2. 2
  Sign in
  Open Agent settings, go to Customizations and choose Authenticate next to zevari. Sign in to Zevari in your browser, copy the code it shows, paste it back into Antigravity and submit.
3. 3
  Check the connection
  Ask the agent:
  ```
  Use Zevari to show my available workspaces and LinkedIn senders.
  ```

Does setup differ per client?

## What is different about Gemini

Every client reaches the same hosted server at https://mcp.zevari.ai/mcp and signs in the same way: you sign in to Zevari in your browser and approve access. The tools and the approval rules are identical. Only where you add the server, and how the sign-in starts, changes.

- Custom apps in the Gemini app are available in the US, in English, to people 18 or over signed in with a personal Google account, with Keep Activity turned on. Google does not offer them on work or school accounts.
- Gemini CLI needs the http transport, which the command above sets. Without it the CLI treats the URL as a local program.
- Google has moved Google AI Pro, Ultra and free users from Gemini CLI to Antigravity. Gemini CLI remains for Gemini Code Assist Standard and Enterprise and for paid API keys.
- Antigravity reads the URL from serverUrl, and its sign-in ends with a code you paste back into the app.
- The tools, the approval rules and the Zevari account are the same as in Claude, ChatGPT and Codex.

| Client | Where you add Zevari | How you sign in | Guide |
| --- | --- | --- | --- |
| Claude.ai and Claude Desktop | Customize → Connectors → Add custom connector. Name Zevari AI, URL https://mcp.zevari.ai/mcp | When Claude asks, sign in to Zevari in your browser and approve access. On Team and Enterprise an Owner adds the connector first | [Guide](https://zevari.ai/linkedin-mcp/claude) |
| Claude Code | claude mcp add --transport http zevari https://mcp.zevari.ai/mcp | Run /mcp inside Claude Code, pick zevari, sign in in the browser | [Guide](https://zevari.ai/linkedin-mcp/claude) |
| Claude Cowork | The same custom connector as Claude.ai. Connectors added to your Claude account are available in Cowork | Sign in once when you add the connector, then turn Zevari on from the + menu in a Cowork task | [Guide](https://zevari.ai/linkedin-mcp/claude-cowork) |
| ChatGPT | Personal plans: Developer mode under Settings → Apps → Advanced, then Create. Business, Enterprise, Edu: an admin or owner creates it under Workspace Settings → Apps | ChatGPT opens the Zevari sign-in in your browser. Workspace members connect once an admin has created the app | [Guide](https://zevari.ai/linkedin-mcp/chatgpt) |
| Codex CLI | codex mcp add zevari --url https://mcp.zevari.ai/mcp | Codex does not start the sign-in on its own. Run codex mcp login zevari | [Guide](https://zevari.ai/linkedin-mcp/codex) |
| Cursor | One-click install link, or add zevari with the URL https://mcp.zevari.ai/mcp to ~/.cursor/mcp.json | Cursor opens the Zevari sign-in in your browser. In the Cursor CLI, run agent mcp login zevari | [Guide](https://zevari.ai/linkedin-mcp/cursor) |
| Gemini app and Gemini CLI | Gemini app: Settings → Connected Apps → Custom apps, paste the URL. Gemini CLI: gemini mcp add --transport http --scope user zevari https://mcp.zevari.ai/mcp | Both open the Zevari sign-in in your browser. In Gemini CLI, run /mcp auth zevari to sign in again | This page |
| Perplexity | Plugins → Add custom → Connector → Add MCP connector → Remote, with OAuth and Streamable HTTP | Click the Zevari card to sign in. On Enterprise, an admin must allow members to add custom connectors | [Guide](https://zevari.ai/linkedin-mcp/perplexity) |
| VS Code with GitHub Copilot | MCP: Add Server → HTTP, paste the URL, or add zevari to .vscode/mcp.json | When the server first starts, VS Code opens the Zevari sign-in in your browser | [Guide](https://zevari.ai/linkedin-mcp/vs-code) |
| Other MCP clients | Add https://mcp.zevari.ai/mcp as a remote (HTTP) MCP server | Browser sign-in, or an MCP access token from Settings → Developers for clients that cannot open a browser | [Guide](https://zevari.ai/linkedin-mcp#clients) |

Once it is connected

## Your AI gets a full outbound department for LinkedIn and email

Your AI SDR team for LinkedIn and email: six specialists your AI can hand work to, in plain English. Start with this check in a new chat:

```
Use Zevari to show my available workspaces and LinkedIn senders.
```

### Prospecting

Finds people from a plain-English description and fills the contact record, including a verified email.

### Signals

Watches for reasons to reach out, like a post about the problem you solve, and ranks them.

### ICP Scoring

Scores each lead against your ideal customer profile, with written reasons.

### Voice Writer

Drafts connection notes, messages and emails that sound like you.

### Follow-up

Runs the sequence across LinkedIn and email on your working hours.

### Reply Qualifier

Reads replies and flags the qualified conversations worth your time.

The full list is on [what the LinkedIn MCP can do](https://zevari.ai/linkedin-mcp/tools), and there are ready-made [LinkedIn MCP prompts](https://zevari.ai/linkedin-mcp/prompts) to copy.

## Nothing sends until you approve it

Your AI stages the work and you approve each send, unless you have moved a specialist to autopilot after it earned it. Zevari holds every account to enforced limits: 100 connection requests a week on Free*, 150 on Premium, 200 on Sales Navigator, a daily cap on all actions, burst limits, and your working hours. No browser extension, no cookie injection. The weekly figure covers connection requests sent without a note: LinkedIn caps requests that carry a note at 3 a month on a free account, and gives Premium and Sales Navigator a far larger allowance, so Premium or Sales Navigator is the practical choice for real outbound (see /safety).

[Read the safety model](https://zevari.ai/safety)

Troubleshooting

## If Zevari does not show up

### I do not see Connected Apps or Custom apps in Gemini

Custom apps are added on gemini.google.com in a desktop browser, with a personal Google account in the US and Keep Activity turned on. They are not offered on work or school accounts.

### Gemini CLI says it cannot start zevari

The server was probably added without the http transport. Remove it with gemini mcp remove --scope user zevari and add it again with the command above.

### Gemini CLI says my plan is no longer supported

Google has moved Google AI Pro, Ultra and free users to Antigravity. Use the Antigravity steps instead.

### Tools answer that a funded LinkedIn seat is needed

You can connect before paying, but Zevari tools only run in a workspace with a funded LinkedIn seat. Add or associate one in Billing, then ask again.

FAQ

## Gemini LinkedIn MCP questions

### Is there a LinkedIn MCP for Gemini?

Yes. Zevari is a hosted LinkedIn MCP server at https://mcp.zevari.ai/mcp that the Gemini app, Gemini CLI and Antigravity can all connect to. Once you sign in, Gemini can find and score prospects, draft messages and run campaigns on LinkedIn and email, with every send waiting for your approval.

### Can Gemini send LinkedIn messages on its own?

No. Gemini can research, draft and stage messages, connection requests and posts, but each send waits for your approval unless you have moved a specialist to autopilot, and Zevari enforces weekly and daily limits on the account.

### Which Gemini should I use?

Use the Gemini app if you work in chat. Use Gemini CLI or Antigravity if you work in a terminal or an editor. All three reach the same Zevari account.

### Is Zevari affiliated with Google?

No. Zevari is independent and is not affiliated with, endorsed by, or sponsored by Google.

### Does every send need my approval?

Yes, by default. Your AI can research, score and draft, but every message, connection request, comment and post waits for your approval. The only exception is a specialist you have moved to autopilot yourself, after it has earned it (for Follow-up, ten approved sends in 30 days). Switch it back to reviews with you at any time.

### Do I need a browser extension or my LinkedIn cookies?

No. Zevari is a hosted connector. There is no browser extension, no cookie injection and nothing to keep open on your computer.

### What does it cost?

Operator is $87/mo, or $497/yr (save 52%). The MCP connection is included, along with all six specialists for LinkedIn and email. Another LinkedIn account is $37 a month.

### Is Zevari affiliated with LinkedIn?

No. Zevari is independent and is not affiliated with, endorsed by, or sponsored by LinkedIn Corporation. LinkedIn is a trademark of LinkedIn Corporation.

## A full outbound department, running today.

Your AI SDR team for LinkedIn and email, working from the AI client you already use. $87/mo, or $497/yr (save 52%).

[Start free trial](https://zevari.ai/auth/login?mode=signup&redirect=/app) [See pricing](https://zevari.ai/pricing)

[LinkedIn MCP for ChatGPT Add Zevari as a Developer mode connector.](https://zevari.ai/linkedin-mcp/chatgpt) [LinkedIn MCP for Claude Custom connector in Claude, or one command in Claude Code.](https://zevari.ai/linkedin-mcp/claude) [LinkedIn MCP for Perplexity Add Zevari as a remote custom connector.](https://zevari.ai/linkedin-mcp/perplexity) [LinkedIn MCP prompts Prompts to paste into Gemini once it is connected.](https://zevari.ai/linkedin-mcp/prompts)