How to Use the Fountain MCP in Cline

Q: Can Cline write code that interacts with Fountain?

Yes. Cline uses tools like listapplicants to fetch live data, then writes and tests local scripts that format this candidate information for your team.

Q: Does Cline store my Fountain API credentials?

No. Your credentials remain securely inside your local clinemcpsettings.json file. The MCP connection uses a secure token to execute queries safely.

Q: Can I inspect the details of a specific job post?

Yes. Cline calls listjobposts to find the post you want, then uses getopeningdetails to pull the full metadata and requirements.

Let Cline pull applicant data, check hiring funnels, and build recruiting reports directly inside VS Code.

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Connect Fountain MCP to Cline

Create your Vinkius account to connect Fountain to Cline 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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Setup Fountain with Cline

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Build live candidate dashboards in Cline

The `list_applicants` tool feeds raw candidate data directly to Cline so it can generate custom hiring reports. Cline writes the code, imports this applicant data, and builds a local dashboard to show your pipeline health. You tell the agent to build a React table of your active candidates. Cline calls `get_applicant` for each entry, populates the table, and writes the tests to ensure the dashboard works perfectly.

Audit hiring goals against active hires

The `list_hiring_goals` tool exposes your target metrics directly to your VS Code environment. Cline compares these targets with live hires pulled from `list_workers` to calculate your remaining headcount needs. This MCP connection lets the agent write a quick script to alert your team when a specific branch is falling behind its quarterly targets. No manual spreadsheet math required.

Map custom recruiting pathways

The `list_funnels` tool pulls your organization's custom recruitment pathways directly into the editor. Cline uses this metadata to map out how candidates progress from initial application to final offer. By combining this with `list_funnel_stages`, the agent identifies which steps have the highest drop-off rate. Cline writes a summary file detailing exactly where your high-volume hiring process is losing candidates.

Setup guide

Set up Fountain MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type fountain-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Fountain refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

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

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Common questions about Fountain MCP in Cline

Open the Cline sidebar, click the MCP icon, and add the server URL under the Remote Servers tab. Cline will automatically load all twelve human-resources tools via MCP.

Yes. Cline uses tools like `list_applicants` to fetch live data, then writes and tests local scripts that format this candidate information for your team.

No. Your credentials remain securely inside your local `cline_mcp_settings.json` file. The MCP connection uses a secure token to execute queries safely.

Yes. Cline calls `list_job_posts` to find the post you want, then uses `get_opening_details` to pull the full metadata and requirements.

Candidate files and screening answers are processed locally in your editor memory. The Vinkius sandbox ensures that sensitive resume data never leaks to unauthorized third-party logging systems.

Use it with your favorite AI tools

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