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How to Use the LinkedIn MCP in Cursor

Generate code that interacts with your LinkedIn feed and organizations directly inside Cursor using this MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect LinkedIn MCP to Cursor

Create your Vinkius account to connect LinkedIn to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Generate live LinkedIn feed integrations in Cursor

The `list_posts` tool pulls your latest feed updates directly into your Cursor editor. This lets the Cursor agent analyze real post performance data instead of relying on outdated static mock files. You can use this live LinkedIn post data to write, test, and refine custom analytics scripts on the fly in Cursor. The editor reads the actual JSON output, making your code highly accurate from the first run.

Manage LinkedIn company pages programmatically inside Cursor

The `list_organizations` tool retrieves the company pages you manage directly inside your active Cursor workspace. The AI agent uses this list to write custom functions that target the correct business entities. By pairing this with `get_organization`, you can build internal dashboards that display your LinkedIn company details in Cursor. You don't have to leave your code editor to check API payloads.

Test LinkedIn post creation workflows directly from Cursor

The `create_post` tool allows your Cursor agent to publish test updates to your feed while you write your distribution code. This shortens your feedback loop because you see the live API results immediately in your terminal output. You can also run `get_me` to verify that your active LinkedIn developer token points to the correct profile in Cursor. That prevents you from accidentally running MCP Server tests on the wrong production account.

Setup guide

Set up LinkedIn MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the LinkedIn MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent LinkedIn transactions." If the MCP tools are loaded correctly, Cursor will call the LinkedIn tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "linkedin-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by LinkedIn. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about LinkedIn MCP in Cursor

Add the server definition to your project's local config file. Once configured, enable Agent mode in your chat panel to start invoking the MCP tools.
No, this server does not have tools to read or send direct messages. It's only accessing profile details, organization directories, and public posts through tools like `get_me` and `list_posts`.
The Cursor agent reads the raw error output directly from the local process if a tool call like `create_post` fails. The editor will then suggest code fixes based on the specific API response error.
Yes, the active profile is determined by the token configured in your Vinkius environment. The `get_me` tool will always return the specific user details associated with that active session.
Your admin organization list retrieved via `list_organizations` is never stored on Cursor servers. All data transactions flow directly through your local editor session using secure OAuth tokens managed by Vinkius.

Start using the LinkedIn MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 6 tools

We've already built the connector for LinkedIn. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 6 tools are live and waiting. You're up and running in seconds.

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