How to Use the Intercom MCP in Cursor

Q: How does Cursor use Intercom data for debugging?

Cursor allows the agent to call getconversation to analyze the issue described by the user. This lets the AI propose code changes that directly address the reported bug.

Q: Can I update Intercom tickets inside Cursor?

You can use replytoconversation to send responses. It is useful for verifying a fix with a user without leaving your editor.

Build features using live Intercom data in Cursor. Connect your support tickets to your code without leaving the editor.

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Connect Intercom MCP to Cursor

Create your Vinkius account to connect Intercom 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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Setup Intercom with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Inject live Intercom data into Cursor code

Feed real ticket data into your coding environment. Using `get_conversation`, your agent reads actual user complaints to help you write better patches and fixes. It avoids the trap of using fake mock data. You build solutions based on the specific technical issues reported by your customers.

Manage Intercom contacts from your Cursor terminal

Search your user base with `search_contacts` to understand who is triggering specific errors. You get the full picture of a user's company and tags without switching windows. It keeps your focus on the code. You spend your time shipping features instead of hunting for customer details in a separate tab.

List Intercom articles in Cursor for context

Call `list_articles` to pull your documentation into the chat. You give the AI the context of your existing help content so it writes code that aligns with your public-facing support. It acts as a reference library for your agent. You ensure your code changes don't contradict what your customers see in your help center.

Setup guide

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

.cursor/mcp.json

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

Get your connection token →

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Common questions about Intercom MCP in Cursor

Cursor allows the agent to call `get_conversation` to analyze the issue described by the user. This lets the AI propose code changes that directly address the reported bug.

You can use `reply_to_conversation` to send responses. It is useful for verifying a fix with a user without leaving your editor.

The MCP server operates locally. Your Cursor instance interacts with the API directly, so your customer data is not stored by any intermediate services.

Yes. You can commit your mcp.json to your repository. Every dev on your team gets access to the same tools as soon as they pull the latest code.

The server touches your conversation threads, contact details, and help center articles. It only interacts with these records when your agent explicitly invokes a tool.

Use it with your favorite AI tools

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

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