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How to Use the LinkedIn MCP in VS Code Copilot

Share LinkedIn posting and organization tools across your entire engineering team in VS Code Copilot with this MCP Server.

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VS Code Copilot

Connect LinkedIn MCP to VS Code Copilot

Create your Vinkius account to connect LinkedIn to VS Code Copilot 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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Build team-wide LinkedIn workflows in VS Code Copilot

The `list_organizations` tool lets your entire development team query managed company pages directly from VS Code Copilot. By saving the config in your repository, everyone gets instant access to the same organizational data. Developers can then use `get_organization` to inspect LinkedIn metadata directly inside VS Code Copilot without needing individual API keys. This keeps your development environment consistent across the whole team.

Publish LinkedIn updates directly from VS Code Copilot

The `create_post` tool lets you draft and publish LinkedIn company updates right from your VS Code Copilot chat interface. You can ask the agent to format your release notes and post them to your profile instantly. To make sure your feed stays clean, use `list_posts` to review what your team recently published on LinkedIn through VS Code Copilot. This keeps your social pipeline coordinated without leaving your workspace.

Verify LinkedIn user credentials inside VS Code Copilot

The `get_me` tool retrieves the authenticated user's profile details directly into your VS Code Copilot session. This lets developers quickly check which account is currently running the deployment scripts. You can also use `get_email` to verify the primary LinkedIn email address associated with the active VS Code Copilot session. This makes onboarding new team members to your team's MCP workflow simple and transparent.

Setup guide

Set up LinkedIn MCP in VS Code Copilot

Prerequisites

  • VS Code 1.99 or later with GitHub Copilot extension
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP configuration

    Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.

  2. 2

    Add the LinkedIn MCP

    Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Switch to Agent mode

    Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.

  4. 4

    Verify the connection

    In the Copilot Chat input, type # to list available tools. You should see the LinkedIn tools listed. Try asking: "List my recent LinkedIn transactions" and Copilot will invoke them automatically.

.vscode/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.

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Common questions about LinkedIn MCP in VS Code Copilot

You commit a config file containing the MCP Server definition directly to your team's Git repository. Every developer with the Copilot extension will automatically load the tools upon opening the project.
The `create_post` tool is designed for real-time execution. If you need scheduled publishing, you can use Copilot to write a local cron script that triggers the tool at specific intervals.
Yes, each developer authenticates their own account through the Vinkius gateway. The `get_me` tool will then return the unique profile information for whoever is currently running the editor.
The server respects standard API thresholds. If your team calls `list_posts` too frequently, the server will return a standard rate limit warning directly inside the Copilot chat window.
Your post history fetched by `list_posts` is kept strictly within your local editor's memory. No post content or organizational data is cached or stored by the extension, maintaining strict enterprise compliance.

Start using the LinkedIn MCP today

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