How to Use the Freshchat MCP in Cursor

Q: Can I use Freshchat tools in Cursor's Agent mode?

Yes, Agent mode can run tools like sendchatmessage to write and test actual replies. This lets you automate support workflows directly from your MCP workspace.

Q: How do I debug connection errors between Freshchat and Cursor?

Run checkaccountstatus inside your chat to verify your API credentials. If that fails, check your environment variables in your configuration file.

Q: Can I filter conversations by status?

The listconversations tool returns active chats from your inbox. You can ask your editor to parse and filter this list based on specific fields or open statuses.

Run your support operations and draft automated responses directly in Cursor using live API data.

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Connect Freshchat MCP to Cursor

Create your Vinkius account to connect Freshchat 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 Freshchat with Cursor

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Direct messaging and user lookups

The tools `send_chat_message` and `search_chat_users` let your editor interact directly with your customer database using this MCP connection. When writing custom routing logic, you can test commands against real customer profiles instead of writing fake mock objects. Running `get_chat_user_details` pulls live metadata into your chat window. This lets you verify custom user fields and attributes instantly, keeping your code aligned with the actual structure of your customer records.

Map your support team using the Cursor MCP Server

This MCP Server implements `list_support_agents` and `list_agent_groups` to read your team's current structure. Developers can inspect how groups are organized directly from the terminal or chat pane. By calling `get_agent_profile`, you get the exact metadata for individual team members. This makes it simple to write and test assignment rules using real agent IDs instead of guessing placeholders.

Conversation tracking and status checks

You can monitor your support queues using `list_conversations` and `check_account_status` from your coding workspace. This keeps you updated on account health and message volume while you build. To debug specific threads, `list_chat_messages` retrieves the entire history of a conversation. You see exactly what the user wrote and what your system replied, making it easy to spot bugs in your automated flows.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "freshchat-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 Freshchat. 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 Freshchat MCP in Cursor

Open your Cursor settings, navigate to the MCP section, and add a new server with your endpoint URL. The editor will automatically discover all twelve customer service tools over this MCP link.

Yes, Agent mode can run tools like `send_chat_message` to write and test actual replies. This lets you automate support workflows directly from your MCP workspace.

Run `check_account_status` inside your chat to verify your API credentials. If that fails, check your environment variables in your configuration file.

The `list_conversations` tool returns active chats from your inbox. You can ask your editor to parse and filter this list based on specific fields or open statuses.

Yes. All agent metadata and conversation histories are transmitted over secure, encrypted channels. No customer data or agent profiles are stored by the editor or the hosting environment.

Use it with your favorite AI tools

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