How to Use the Pipeliner MCP in Cursor

Q: How can I get Cursor to use my actual Pipeliner opportunities when writing code?

After you configure the Pipeliner MCP server in your mcp.json file, just tell the agent what you need. For example, 'Create a list component that displays opportunities,' and it will call listpipelineropportunities for real data.

Q: Does this Pipeliner integration for Cursor work with my entire team?

It can. If you place the .cursor/mcp.json configuration file in your project's root directory and commit it to git, everyone who pulls the repo will have the same Pipeliner tools available in Cursor.

Q: Is there a way to list all available Pipeliner pipelines before I ask Cursor to query one?

Definitely. Just ask the agent to listpipelinerpipelines. It will return a list of all configured sales pipelines, which you can then use in more specific prompts.

Inject live Pipeliner deal data and contact info directly into your code with Cursor. Stop mocking CRM objects.

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Connect Pipeliner MCP to Cursor

Create your Vinkius account to connect Pipeliner to Cursor — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Pipeliner with Cursor

Ask AI about this MCP

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Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Code with Live Pipeliner Data

Tell Cursor's agent to build a function that processes new leads. It won't just generate a placeholder; it will call `list_pipeliner_leads` via the MCP server and use the actual data structure of your leads to write the code. This changes how you build integrations. You're no longer guessing at API response formats or using stale mock data. You can ask the agent to 'get a sample opportunity' using `get_pipeliner_opportunity`, and it will insert a real, live object from your CRM right into your editor.

Script Sales Reports from Your Editor

You need to write a script that pulls a weekly sales report. Instead of toggling to a browser, just instruct the Cursor agent. It can use `list_pipeliner_opportunities` and `list_pipeliner_activities` to fetch the necessary data. The agent then writes the Python or JavaScript code to process that data right in front of you. You can go from 'I need a report' to a working script that calls the Pipeliner API in a single conversation, all inside Cursor.

Test API Logic with this MCP Server

When you're building something on top of Pipeliner, you constantly need to check data. With this MCP server, you can ask Cursor to `list_pipeliner_users` or `list_pipeliner_accounts` without writing a single line of curl or Postman. It's a fast feedback loop inside your editor. Find a bug, ask the agent to fetch the problematic record from Pipeliner using its tool, and see the live data instantly. It makes debugging CRM integrations much faster.

Setup guide

Set up Pipeliner MCP in Cursor

Prerequisites

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

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

Add the Pipeliner 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

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

Verify the connection

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

.cursor/mcp.json

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Pipeliner. 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 Pipeliner MCP in Cursor

After you configure the Pipeliner MCP server in your `mcp.json` file, just tell the agent what you need. For example, 'Create a list component that displays opportunities,' and it will call `list_pipeliner_opportunities` for real data.

Yes. Simply ask the agent, 'find the details for lead ID 12345'. It will use the `get_pipeliner_lead` tool and paste the information directly into the chat or your active file.

It can. If you place the `.cursor/mcp.json` configuration file in your project's root directory and commit it to git, everyone who pulls the repo will have the same Pipeliner tools available in Cursor.

Definitely. Just ask the agent to `list_pipeliner_pipelines`. It will return a list of all configured sales pipelines, which you can then use in more specific prompts.

The server only reads your Pipeliner data like leads and opportunities on-demand. Your CRM information is not logged or stored. Each request is processed in a temporary, isolated environment that's destroyed after the tool call is complete.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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