How to Use the UnifyApps MCP in VS Code Copilot

Q: How do I check active connections using UnifyApps and VS Code Copilot?

Just ask your AI client to run listactiveconnections. The result appears in the chat pane, providing an immediate overview of all services connected across the team.

Q: Does the MCP Server help manage workflows for UnifyApps and VS Code Copilot?

Yes. You can list all defined flows using listautomationflows. If you need to see past runs, use listflowexecutions—it keeps everyone on the same page about what ran when.

Q: How do I check available integrations for UnifyApps and VS Code Copilot?

The listintegrations tool gives you a comprehensive list of every configured integration. This data is committed to the project, making it instantly visible to all team members.

Q: What about listing agents for UnifyApps and VS Code Copilot?

You use listaiagents. It shows which AI agents are set up in your environment. This is key when managing permissions across a large engineering team.

Manage team integrations with UnifyApps via VS Code Copilot.

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Connect UnifyApps MCP to VS Code Copilot

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

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Standardize access to all UnifyApps connections.

`list_active_connections` lets the entire team see which accounts are linked. By committing the MCP configuration, everyone uses the same source of truth for connection details. You can also use `list_integrations` so developers always know what services are available to connect.

Track and list automation flows with VS Code Copilot.

`list_automation_flows` shows the full definitions of every workflow in your repo. This is critical for onboarding new team members. If someone needs to check if a flow ran recently, `list_flow_executions` provides that audit trail directly within the workspace.

Audit agent and integration setup via MCP Server.

`list_ai_agents` lists all configured agents, making governance easier for IT teams. When you need to drill down into specifics, `get_integration_details` pulls the exact data needed. This centralized approach ensures everyone uses the same toolset.

Setup guide

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

.vscode/mcp.json

{
  "mcpServers": {
    "unifyapps-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 UnifyApps. 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 UnifyApps MCP in VS Code Copilot

Just ask your AI client to run `list_active_connections`. The result appears in the chat pane, providing an immediate overview of all services connected across the team.

Yes. You can list all defined flows using `list_automation_flows`. If you need to see past runs, use `list_flow_executions`—it keeps everyone on the same page about what ran when.

The `list_integrations` tool gives you a comprehensive list of every configured integration. This data is committed to the project, making it instantly visible to all team members.

You use `list_ai_agents`. It shows which AI agents are set up in your environment. This is key when managing permissions across a large engineering team.

This server touches Connection Data, Flow Definition Data, and Agent Lists. These tools provide structured operational data that helps your team audit system usage without compromising private user information.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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Pydantic AI sdk-python

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