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How to Use the Greenhouse MCP in VS Code Copilot

Share a common Greenhouse hiring configuration across your entire engineering team inside VS Code Copilot.

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VS Code Copilot

Connect Greenhouse MCP to VS Code Copilot

Create your Vinkius account to connect Greenhouse 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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Team-Wide Pipeline Management with this MCP Server

`list_candidates` lets your whole team access the applicant pool from a shared workspace configuration via this MCP Server. Developers can review incoming technical profiles without needing separate recruiter accounts. By committing the server setup to your repository, every engineer gets access to `get_candidate_details` instantly. This makes technical screening reviews collaborative and fast.

Standardize Candidate Referrals

`create_candidate` allows engineers to refer talent directly from their development environment. They just pass the first name, last name, and company to the tool to log the referral. Once the candidate is in the system, you can use `update_candidate` to add notes from code reviews or technical challenges. This keeps all feedback in one central place.

Automate Screenings and Rejections

`reject_application` handles candidate rejections directly from your editor when a technical test fails. You must provide a valid rejection reason ID to log the decision correctly in your tracking system. If the candidate passes, `advance_application` moves them to the next interview stage. This keeps the hiring process moving without forcing engineers to log into a separate web portal.

Setup guide

Set up Greenhouse 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 Greenhouse 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 Greenhouse tools listed. Try asking: "List my recent Greenhouse transactions" and Copilot will invoke them automatically.

.vscode/mcp.json
{
  "mcpServers": {
    "greenhouse-alternative-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 Greenhouse. 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 Greenhouse MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in your project root and commit it to your Git repository. Once your team pulls the changes, they can use the MCP server configuration in Copilot Chat.
Yes, the `get_candidate_details` tool pulls full profiles into your chat. This lets you review resumes and application histories during code reviews.
Use the `get_api_status` tool to check your active connection. It verifies that your team's configuration is authenticating properly.
Yes, `list_open_jobs` retrieves all active openings. You can use this to see which teams have open headcount before referring a candidate.
Your applicant profiles and company structure are kept safe through tokenized authentication. The MCP Server runs inside an ephemeral sandbox, meaning no candidate data is cached or stored after the tool finishes running.

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