How to Use the SleekFlow MCP in Cursor

Q: How do I get SleekFlow working in Cursor?

You create a .cursor/mcp.json file—either in your project root or globally for all projects. Add the server details and make sure Agent mode is enabled in chat.

Q: Can I list channels using SleekFlow with Cursor?

Absolutely. The listchannels tool reports every connected communication channel, which helps you write code that needs to support multiple platforms (e.g., WhatsApp and Instagram).

Q: How do I send messages using SleekFlow in Cursor?

You use the sendmessage tool call within your generated function. The AI handles the API interaction, letting you focus purely on writing the surrounding application logic.

Write code that uses real-time data from SleekFlow within Cursor, without leaving your editor.

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…and any MCP-compatible client

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Connect SleekFlow MCP to Cursor

Create your Vinkius account to connect SleekFlow 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 SleekFlow with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Inject live contact details into code

Using `get_contact_details` lets the AI generate working code using a person's actual profile. You get live data returned from the API and can write functions that use it immediately. This means your generated code isn't just stubs; it uses real user context, making your application logic much more accurate.

List all conversations for scripting

The `list_conversations` tool provides the raw data needed to script conversation history. You can write loops and functions that process entire chat threads. It's perfect for writing background jobs or migration scripts that need to read message sequences across different channels.

Categorize contacts with labels

You can use `list_contact_labels` and then pass those labels into your code. This lets the AI build logic that checks a user's category before doing something. Instead of hardcoding rules, you let the system read the established labels, making your application much more flexible.

Setup guide

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

.cursor/mcp.json

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

Get your connection token →

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

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Common questions about SleekFlow MCP in Cursor

You create a `.cursor/mcp.json` file—either in your project root or globally for all projects. Add the server details and make sure Agent mode is enabled in chat.

Absolutely. The `list_channels` tool reports every connected communication channel, which helps you write code that needs to support multiple platforms (e.g., WhatsApp and Instagram).

You use the `send_message` tool call within your generated function. The AI handles the API interaction, letting you focus purely on writing the surrounding application logic.

Yes. The server is designed for omnichannel use. Tools like `list_channels` ensure your code can handle messages and contexts from WhatsApp, Instagram, and others alike.

This MCP Server handles contact profiles, message content, conversation threads, and automated flow definitions.

Use it with your favorite AI tools

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

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