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bluebarry.ai MCP Server for VS Code CopilotGive VS Code Copilot instant access to 6 tools to Analyze Youtube, Get Agent, Get Automation Status, and more

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GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Use with Your AI Agent

Ask AI about this App Connector for VS Code Copilot

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The bluebarry.ai app connector for VS Code Copilot is a standout in the Customer Support category — giving your AI agent 6 tools to work with, ready to go from day one.

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Classic Setup·json
{
  "mcpServers": {
    "bluebarryai": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}
bluebarry.ai
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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About bluebarry.ai MCP Server

Connect your bluebarry.ai account to any AI agent and take full control of your AI orchestration and multimedia automation workflows through natural conversation.

GitHub Copilot Agent mode brings bluebarry.ai data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 6 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

What you can do

  • Agent Orchestration — List and manage all your AI agents programmatically, retrieving detailed status and configuration settings in real-time
  • YouTube Intelligence — Programmatically analyze and summarize YouTube videos from their URLs using high-fidelity AI processing directly through your agent
  • WhatsApp Automation — Dispatch automated messages and engage with your audience through official WhatsApp integration to coordinate your digital outreach
  • Automation Monitoring — Track the status of your active automations across different platforms and retrieve detailed metadata for every process
  • Engagement Architecture — Access complete directories of your configured AI personas and monitor account-level connectivity for instant operational reporting

The bluebarry.ai MCP Server exposes 6 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 6 bluebarry.ai tools available for VS Code Copilot

When VS Code Copilot connects to bluebarry.ai through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-agents, whatsapp-automation, video-analysis, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

analyze_youtube

Analyze a YouTube video

get_agent

Get details for an AI agent

get_automation_status

Get status of an automation

list_agents

ai account. List all AI agents

list_automations

List all active automations

send_whatsapp

ai platform. Send a WhatsApp message

Connect bluebarry.ai to VS Code Copilot via MCP

Follow these steps to wire bluebarry.ai into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Create MCP config

Create a .vscode/mcp.json file in your project root
02

Add the server config

Paste the JSON configuration above
03

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown
04

Start using bluebarry.ai

Ask Copilot: "Using bluebarry.ai, help me...". 6 tools available

Why Use VS Code Copilot with the bluebarry.ai MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with bluebarry.ai through the Model Context Protocol.

01

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

02

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

03

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

04

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

bluebarry.ai + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the bluebarry.ai MCP Server delivers measurable value.

01

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

02

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

03

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

04

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for bluebarry.ai in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with bluebarry.ai immediately.

01

"List all my AI agents in bluebarry.ai."

02

"Analyze and summarize this YouTube video: 'https://youtube.com/watch?v=123'."

03

"Send a WhatsApp welcome message to '+123456789'."

Troubleshooting bluebarry.ai MCP Server with VS Code Copilot

Common issues when connecting bluebarry.ai to VS Code Copilot through the Vinkius, and how to resolve them.

01

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

bluebarry.ai + VS Code Copilot FAQ

Common questions about integrating bluebarry.ai MCP Server with VS Code Copilot.

01

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.
02

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.
03

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.
04

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.