# Connect Cursor to LinkedIn with one install link URL: https://zevari.ai/linkedin-mcp/cursor > Connect Cursor to LinkedIn with the Zevari MCP: one install link or one mcp.json entry, then a browser sign-in. Six specialists for LinkedIn and email. Every send waits for your approval until you switch a trained specialist to Autopilot. Cursor LinkedIn MCP To add a LinkedIn MCP to Cursor, open Zevari's install link or add https://mcp.zevari.ai/mcp to your mcp.json, then sign in to Zevari in your browser. Cursor's agent gets Zevari's hosted LinkedIn and email tools: prospect search, ICP scoring, drafts in your voice, campaigns and reply triage. Nothing to install locally, 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 ## Cursor editor 1. 1 Add the server With Cursor installed, open this install link and confirm the install. Or add this entry to ~/.cursor/mcp.json yourself (use .cursor/mcp.json in a project to keep it to that project): ``` { "mcpServers": { "zevari": { "url": "https://mcp.zevari.ai/mcp" } } } ``` 2. 2 Sign in When Cursor first connects, it opens the Zevari sign-in in your browser. Sign in and approve access. 3. 3 Check the connection Open Customize in the sidebar and make sure zevari is turned on, then ask the agent: ``` Use Zevari to show my available workspaces and LinkedIn senders. ``` ## Cursor CLI 1. 1 Use the same file The CLI reads the same mcp.json as the editor, so there is nothing new to add. 2. 2 Sign in This opens your browser. Sign in to Zevari and approve access. ``` agent mcp login zevari ``` 3. 3 Check the connection Run agent mcp list to see zevari, then start a session and ask: ``` Use Zevari to show my available workspaces and LinkedIn senders. ``` Does setup differ per client? ## What is different about Cursor 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. - Cursor can install the server from a link, so you do not have to edit mcp.json by hand. - A server in ~/.cursor/mcp.json is available in every project. One in a project's .cursor/mcp.json is available only there. - The editor and the Cursor CLI share the same mcp.json. The CLI signs in with its own command, agent mcp login zevari. - 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 | This page | | 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 | [Guide](https://zevari.ai/linkedin-mcp/gemini) | | 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 ### The install link does nothing The link opens the Cursor app, so Cursor has to be installed on that computer. If it still does nothing, add the mcp.json entry above by hand and restart Cursor. ### zevari is listed but its tools fail with an authentication error The server is added but not signed in. Turn zevari off and on in Customize to start the sign-in again, or run agent mcp login zevari in the CLI. ### My company's Cursor will not let me add the server Cursor's Enterprise admins can limit which MCP servers members may add. Ask your admin to allow mcp.zevari.ai. ### 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 ## Cursor LinkedIn MCP questions ### Is there a LinkedIn MCP for Cursor? Yes. Zevari is a hosted LinkedIn MCP server that Cursor connects to at https://mcp.zevari.ai/mcp. Once you sign in, Cursor's agent can find and score prospects, draft messages and run campaigns on LinkedIn and email, with every send waiting for your approval. ### Can Cursor send LinkedIn messages on its own? No. Cursor 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. ### Is Zevari affiliated with Cursor? No. Zevari is independent and is not affiliated with, endorsed by, or sponsored by Anysphere, the maker of Cursor. ### 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 VS Code Add Zevari to GitHub Copilot in VS Code.](https://zevari.ai/linkedin-mcp/vs-code) [LinkedIn MCP for Claude Custom connector in Claude, or one command in Claude Code.](https://zevari.ai/linkedin-mcp/claude) [LinkedIn MCP for Codex Two commands: codex mcp add, then codex mcp login.](https://zevari.ai/linkedin-mcp/codex) [LinkedIn MCP prompts Prompts to paste into Cursor once it is connected.](https://zevari.ai/linkedin-mcp/prompts)