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How to Use the Fountain MCP in Cursor

Connect your recruitment data to your codebase with the Fountain MCP server in Cursor.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Fountain MCP on Cursor AI Code Editor MCP Client Fountain MCP on Claude Desktop App MCP Integration Fountain MCP on OpenAI Agents SDK MCP Compatible Fountain MCP on Visual Studio Code MCP Extension Client Fountain MCP on GitHub Copilot AI Agent MCP Integration Fountain MCP on Google Gemini AI MCP Integration Fountain MCP on Lovable AI Development MCP Client Fountain MCP on Mistral AI Agents MCP Compatible Fountain MCP on Amazon AWS Bedrock MCP Support
MCP Servers - Free for Subscribers
Cursor

Connect Fountain MCP to Cursor

Create your Vinkius account to connect Fountain 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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Inject live hiring data into Cursor

Stop hardcoding applicant lists or mock data. Use the Fountain MCP server to feed real-time hiring metrics into your development process. Call `list_hiring_goals` to set context for your logic. The AI sees the actual targets and writes code that aligns with your current hiring needs.

Debug recruitment workflows in Cursor

When your integration hits a snag, use the AI to inspect the data stream. Use `get_opening_details` to verify that your API calls are hitting the right objects. The agent analyzes the raw output from `list_funnels` to find discrepancies. You fix the logic while the agent handles the data inspection.

Sync applicant records to your project

Use your editor to pull applicant details into your local environment for testing. The Fountain MCP server gives you a direct line to your production records. Run `list_applicants` to grab a batch of data for your local build. You get real fields and types, which makes your code more reliable from the start.

Setup guide

Set up Fountain 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 Fountain 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 Fountain transactions." If the MCP tools are loaded correctly, Cursor will call the Fountain tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "fountain-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 Fountain. 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 Fountain MCP in Cursor

Create an mcp.json file in your project root or global settings. Define the server there and enable agent mode to start querying data.
Absolutely. Once the MCP server is configured, the agent can call tools like `list_job_posts` to gather info for your scripts.
It lets you write code that interacts with your real hiring data instead of placeholders. This ensures your integration logic works before you deploy.
Yes. You can commit your mcp.json to your repo to share the tools with your entire team. Everyone gets the same access to the hiring API.
The server acts as a pass-through for applicant names and IDs. No data is stored locally in your editor; it is fetched on-demand during tool execution.

Start using the Fountain MCP today

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

Built & Managed by Vinkius 30s setup 12 tools

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

No hosting. No infrastructure. No complex setup.
All 12 tools are live and waiting. You're up and running in seconds.

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