How to Use the Bot9 MCP in VS Code Copilot

Q: How do I share the Bot9 setup with my team in VS Code Copilot?

Create a .vscode/mcp.json file in the root of your shared Git repository and add the Bot9 MCP server configuration. When your team pulls the latest code, their Copilot Chat will automatically gain access to the tools.

Q: How do I check active customer chats with Bot9 in VS Code Copilot?

Ask Copilot to list current chats, and it will run listconversations to fetch active sessions. You can then request the history of any specific thread to review customer interactions.

Manage support bots and train them on local files directly from VS Code Copilot.

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Connect Bot9 MCP to VS Code Copilot

Create your Vinkius account to connect Bot9 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 Bot9 with VS Code Copilot

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Audit your support bot fleet inside VS Code Copilot

The `list_bots` tool retrieves a complete list of all your active customer support chatbots. When working in your team's workspace, your agent runs this tool to check which bots are live and matches their configurations against your local codebase. To inspect a specific bot's setup, the agent calls `get_bot` to fetch its detailed configuration. This ensures your team always knows exactly which bot is handling which support channel without leaving the editor.

Train bots on workspace documentation using this MCP Server

The `add_data_source` tool uploads training URLs to your chatbot's knowledge base. Your agent can scan your repository's documentation files, find their public URLs, and register them with your bot in one step. To confirm the bot has processed the updates, the agent uses `list_data_sources` to display the active training index. It gives your entire engineering team a clear view of what documentation your customer-facing bots are using.

Debug live conversation threads in VS Code Copilot

The `get_conversation_history` tool pulls the complete message log of any active customer session. If a customer reports an issue, your developer agent retrieves the transcript directly inside your chat panel to analyze what went wrong. You can then use `send_message` to run test queries against the bot to check your fixes. This loop lets you troubleshoot and patch bot behaviors without ever opening a browser or leaving your team's development environment.

Setup guide

Set up Bot9 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 Bot9 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 Bot9 tools listed. Try asking: "List my recent Bot9 transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "bot9-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 Bot9. 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 Bot9 MCP in VS Code Copilot

Create a `.vscode/mcp.json` file in the root of your shared Git repository and add the Bot9 MCP server configuration. When your team pulls the latest code, their Copilot Chat will automatically gain access to the tools.

Yes. You can ask Copilot to train your bot on a specific URL. The agent will run the `add_data_source` tool to instantly register the link with your bot's knowledge base.

You need VS Code version 1.96 or higher with GitHub Copilot installed. Make sure to switch your Copilot Chat to Agent mode to enable tool execution.

Ask Copilot to list current chats, and it will run `list_conversations` to fetch active sessions. You can then request the history of any specific thread to review customer interactions.

Your chatbot configurations, training URLs, and customer support transcripts are processed through Vinkius's secure, ephemeral MCP sandbox. No credentials or customer message histories are stored on disk, maintaining strict enterprise data privacy.

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