How to Use the bluebarry.ai MCP in VS Code Copilot

Q: Can VS Code Copilot trigger bluebarry.ai automations via MCP?

Yes, Copilot can call listautomations and getautomationstatus to check on your background processes. This lets your team monitor active pipelines directly from the chat interface.

Q: Is it possible to manage agents using bluebarry.ai and VS Code Copilot?

Absolutely, you can call listagents and getagent within Copilot Chat to inspect your active support agents. It makes configuring your agent integrations much easier during development.

Q: How do we send a test WhatsApp message from VS Code Copilot?

Just ask Copilot to run the sendwhatsapp tool with your target phone number and message text. The tool executes the API call immediately and returns the status in your chat panel.

Manage bluebarry.ai workflows and send WhatsApp alerts directly from VS Code Copilot.

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Connect bluebarry.ai MCP to VS Code Copilot

Create your Vinkius account to connect bluebarry.ai 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 bluebarry.ai with VS Code Copilot

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Team-wide WhatsApp testing in VS Code Copilot

This bluebarry.ai MCP Server lets your entire engineering team send and test notifications using `send_whatsapp` right from the Copilot chat panel. By committing the config to your repo, every developer gets instant access to the messaging API without sharing manual keys. This makes manual API testing obsolete. Your team can verify notification formats during peer reviews without spinning up external testing tools.

Audit automation states during code reviews

This toolset lets your team inspect active background tasks by running `list_automations` directly inside VS Code. Copilot uses this live list to help you write better monitoring scripts and alert systems. If a developer needs to verify a specific pipeline, they can call `get_automation_status` to see exactly what failed. It saves your team from digging through server logs during critical deployments.

Analyze media resources in your shared workspace

This integration allows Copilot to process video links using the `analyze_youtube` tool. It helps your team digest system walkthroughs or user-submitted bug videos directly within the editor. Your developers can use the resulting analysis to jump straight to the broken code. No more scrubbing through timelines to find the exact frame where an error occurred.

Setup guide

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

.vscode/mcp.json

{
  "mcpServers": {
    "bluebarryai-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about bluebarry.ai MCP in VS Code Copilot

You add the server configuration to your project's .vscode/mcp.json file and commit it to your Git repository. Every team member with VS Code Copilot will instantly get access to the tools by loading your project's config file to share the MCP setup.

Yes, Copilot can call `list_automations` and `get_automation_status` to check on your background processes. This lets your team monitor active pipelines directly from the chat interface.

Absolutely, you can call `list_agents` and `get_agent` within Copilot Chat to inspect your active support agents. It makes configuring your agent integrations much easier during development.

Just ask Copilot to run the `send_whatsapp` tool with your target phone number and message text. The tool executes the API call immediately and returns the status in your chat panel.

Any video metadata processed by this MCP server is handled over encrypted HTTPS connections directly to your AI client. The temporary data is processed within ephemeral sandboxes and is never stored or used for training.

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