How to Use the ChatFly MCP in VS Code Copilot

Q: How does my team get access to ChatFly in VS Code Copilot?

Just add the ChatFly server configuration to a .vscode/mcp.json file in your project's repository. Once that file is committed and pulled, everyone using VS Code Copilot in that project will have the tools available.

Q: What happens when I ask VS Code Copilot to create a ChatFly bot?

Copilot's agent will use the createbot tool from the ChatFly server. It will prompt you for necessary details like the bot's name and welcome message, then execute the command and confirm when the new bot is ready.

Equip your whole team with chatbot management tools. Configure, build, and test support bots directly in VS Code Copilot.

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Connect ChatFly MCP to VS Code Copilot

Create your Vinkius account to connect ChatFly to VS Code Copilot 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 ChatFly with VS Code Copilot

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Shared Chatbot Config for Your Team

The best part of using this with VS Code is the shared configuration. Add the ChatFly MCP server to your project's `.vscode/mcp.json` file and commit it. Now everyone on the team gets the same tools automatically. This means any developer can ask Copilot to `list_bots` and see the same production environment. It eliminates "works on my machine" issues for chatbot integrations. A junior dev can safely `get_bot` details without needing production access keys.

Manage Chatbots with Copilot Agent Mode

Switch Copilot Chat to agent mode and start managing your bots. You can tell it to `create_bot` for a new marketing campaign or `update_bot` to change the welcome message for your main support bot. It's not just about running single commands. You can ask Copilot to perform a sequence, like "Add this FAQ document to the 'Onboarding' bot, then test it with this question." It will use `upload_data_source` and then `chat` to give you a complete result.

Audit and Review Bot Knowledge

Maintain quality control over your bots' knowledge bases. Use the `list_data_sources` tool to have Copilot pull up all the documents a specific bot has been trained on. It's a quick way to audit for outdated information. If you find something wrong, you can manage it right there. The toolset includes functions to remove and `upload_data_source` to add new files. This workflow, accessible to the whole team via the shared MCP configuration, keeps your customer-facing bots accurate.

Setup guide

Set up ChatFly MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the ChatFly MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the ChatFly tools listed. Try asking: "List my recent ChatFly transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "chatfly-alternative-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 VS Code Copilot

Just add the ChatFly server configuration to a `.vscode/mcp.json` file in your project's repository. Once that file is committed and pulled, everyone using VS Code Copilot in that project will have the tools available.

Yes, that's a primary use case. By pointing the MCP server configuration to your production ChatFly instance, your team can use Copilot to securely manage live bots, update their knowledge, and test responses.

Copilot's agent will use the `create_bot` tool from the ChatFly server. It will prompt you for necessary details like the bot's name and welcome message, then execute the command and confirm when the new bot is ready.

This integration is for interactive use inside the VS Code editor. For pipelines, you'd call the Vinkius MCP Server endpoint directly using a CLI-based client to automate bot creation or updates.

Yes. The ChatFly server only processes bot configuration data—like names and settings—and the knowledge base files you choose to upload. The entire Vinkius platform is SOC 2 compliant, and each server runs in a temporary, isolated environment to keep your data secure.

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