How to Use the CHATFLY MCP in Cursor

Q: How does the CHATFLY MCP server work with Cursor's agent?

Once you add the CHATFLY server to your mcp.json file, the Cursor agent can call its tools. You can ask it in plain English to 'list my chatbots' or 'send a test message,' and it will execute the right tool and show you the result.

Q: Is there a way to quickly add CHATFLY to a new project in Cursor?

The fastest way is to define it in your global /.cursor/mcp.json file. This makes the CHATFLY tools available in any project you open. For project-specific setups, just drop the config into .cursor/mcp.json in your repo root.

Inject live CHATFLY bot data and conversation history directly into your code with Cursor.

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Setup CHATFLY with Cursor

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Pull bot configurations into your editor

Get the exact details for any of your chatbots without leaving your code. `list_chatfly_bots` gives you an inventory, and `get_chatbot_details` provides the full configuration for a specific bot ID. You can also check its knowledge base with `list_uploaded_documents`. In Cursor, this is more than just viewing data. Ask the agent to fetch a bot's config and then generate a TypeScript interface from it. You get working, type-safe code that reflects your actual bot structure, not just some placeholder.

Generate test scripts from real conversations

Need to write integration tests for your bot? Use `list_fly_conversations` to find recent user chats and `get_conversation_history` to pull the full transcript. This gives you real-world scenarios to test against. Here's the workflow in Cursor: ask the agent to fetch a specific conversation. Then, tell it to write a Jest or Pytest file that simulates that exact user interaction using the `send_bot_message` tool. You go from a real user issue to a regression test in seconds.

Manage your bots from the Cursor MCP agent

This CHATFLY MCP server lets you do more than just read data. You can start a new training run with `trigger_bot_training` or check your API usage with `get_chatfly_account_info`. It's your command center for CHATFLY, right inside your editor. When you're developing something that integrates with CHATFLY, this is invaluable. You can modify your code, tell the Cursor agent to retrain the bot, and then have it run a test message, all without ever touching your mouse or leaving the file you're working on.

Setup guide

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

.cursor/mcp.json

{
  "mcpServers": {
    "chatfly-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 CHATFLY. 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 CHATFLY MCP in Cursor

Once you add the CHATFLY server to your `mcp.json` file, the Cursor agent can call its tools. You can ask it in plain English to 'list my chatbots' or 'send a test message,' and it will execute the right tool and show you the result.

Yes, that's the core idea. You can ask Cursor to fetch a conversation history with CHATFLY and then generate a Python script to analyze it for keywords, for example. The agent uses the live data to write functional code.

The fastest way is to define it in your global `~/.cursor/mcp.json` file. This makes the CHATFLY tools available in any project you open. For project-specific setups, just drop the config into `.cursor/mcp.json` in your repo root.

After setting it up, you can simply ask the agent, 'What tools do you have?' It will list all available MCP tools, including the ones from the CHATFLY server like `list_chatfly_bots` and `send_bot_message`.

The connection is secured by Vinkius, which processes your requests in isolated sandboxes. The server only accesses the CHATFLY data you explicitly ask for, like chatbot details or conversation histories. All traffic is encrypted, and no request payloads are ever saved.

Use it with your favorite AI tools

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

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