How to Use the CHATFLY MCP in Cline

Q: Can Cline test my CHATFLY bot responses in real-time?

Yes. Cline uses sendbotmessage to test your chatbot's behavior directly from the sidebar. You can verify that your prompts work correctly before pushing code updates to production.

Q: How does Cline track my CHATFLY document list?

Cline runs listuploadeddocuments to fetch the complete index of your training files. It displays this list inside VS Code so you can instantly see which files are currently feeding the bot.

Q: What do I do if a bot training run fails?

Use Cline to run getchatbotdetails to check the status of the bot. The tool returns the exact error state, allowing Cline to analyze the configuration and suggest fixes.

Let Cline build support dashboards and manage your CHATFLY bots directly from VS Code.

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Setup CHATFLY with Cline

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Claude

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Build Support Dashboards with Cline and this MCP Server

The `list_chatfly_bots` tool pulls live CHATFLY bot metadata directly into Cline so it can generate custom support components. The Cline agent reads the bot list, writes the React dashboard code, and hooks up your internal UI to the live CHATFLY bot statuses. It uses `get_chatfly_account_info` to display your current CHATFLY API usage directly on your new Cline administration page. Cline writes the tests, runs them in your VS Code terminal, and commits the code once the CHATFLY integration works.

Debug Live Support Chats in VS Code

The `get_conversation_history` tool retrieves full transcripts from your active CHATFLY customer sessions using this MCP server so Cline can debug bot responses. When a user reports a bug in your CHATFLY bot's behavior, Cline pulls the exact chat history to find the failure point. It matches those CHATFLY logs against your codebase inside VS Code to see if an API change broke the bot's context. Cline then edits your local code to fix the CHATFLY payload format without you copying logs back and forth.

Manage Bot Knowledge Bases Directly

The `list_uploaded_documents` tool identifies every file currently feeding your CHATFLY bot's knowledge base. Cline checks this list against your local asset folder in VS Code to find outdated PDFs or markdown files that need to be replaced in CHATFLY. Once it identifies the missing files, the Cline agent prompts you to upload them and uses `trigger_bot_training` to refresh the CHATFLY bot's memory. You maintain your entire CHATFLY training pipeline without ever leaving your Cline editor.

Setup guide

Set up CHATFLY MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type chatfly-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest CHATFLY refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "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 Cline

Open the Cline sidebar, click the MCP icon, and add the server URL under the Remote Servers tab. You can also paste the configuration directly into your `cline_mcp_settings.json` file to activate the MCP tools.

Yes. Cline uses `send_bot_message` to test your chatbot's behavior directly from the sidebar. You can verify that your prompts work correctly before pushing code updates to production.

Cline runs `list_uploaded_documents` to fetch the complete index of your training files. It displays this list inside VS Code so you can instantly see which files are currently feeding the bot.

Use Cline to run `get_chatbot_details` to check the status of the bot. The tool returns the exact error state, allowing Cline to analyze the configuration and suggest fixes.

No, your uploaded documents and API credentials stay within your local VS Code environment. This MCP connection uses a secure token system, ensuring your proprietary training data is never cached or leaked.

Use it with your favorite AI tools

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