How to Use the Lindy (Autonomous AI Employees) MCP in VS Code Copilot

Q: How do we share the Lindy (Autonomous AI Employees) MCP configuration with our team in VS Code Copilot?

Add the server settings to your project's .vscode/mcp.json file and commit it to your repository. Every developer with the Copilot extension will automatically get access to the tools.

Q: Can VS Code Copilot trigger a Lindy (Autonomous AI Employees) run for testing?

Yes, you can ask Copilot to start a run. It uses triggerlindy to send your test JSON payload and initiate the asynchronous execution directly from your chat.

Q: How do we debug a failed Lindy (Autonomous AI Employees) execution using VS Code Copilot?

Copilot calls getrunlogs to fetch the raw LLM reasoning steps. It analyzes the output in your sidebar to point out exactly where your custom agent workflow broke down.

Q: Can we view all our active agents in the editor?

Yes, Copilot can call listlindies to generate a markdown list of all custom agents configured on your workspace, complete with their active tools.

Manage, test, and audit your Lindy autonomous agents right inside VS Code Copilot with team-wide configurations.

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Connect Lindy (Autonomous AI Employees) MCP to VS Code Copilot

Create your Vinkius account to connect Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) with VS Code Copilot

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Audit team integrations using VS Code Copilot

Your team can track live Lindy agent workflows in VS Code using this MCP Server to fetch connections via `list_integrations`. Because your Lindy configuration settings are committed in `.vscode/mcp.json`, every developer gets access to the same tools. You can quickly audit security boundaries across your entire VS Code workspace without manual setups.

Trigger and test agent workflows from chat

Testing autonomous Lindy agents in VS Code shouldn't require complex curl commands when you can run `trigger_lindy` in Copilot. If a test run goes off the rails, Copilot can issue a hard stop using `cancel_run` to kill the active Lindy execution immediately.

Diagnose blocked runs during local development

When a Lindy agent pauses because it needs human approval, Copilot uses `get_run` to pull the exact blocker details into VS Code. By combining this with `list_triggers`, your team can debug whether a webhook or a manual API call initiated the Lindy run, making it easy to trace bugs back to their source inside VS Code.

Setup guide

Set up Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) 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 Lindy (Autonomous AI Employees) tools listed. Try asking: "List my recent Lindy (Autonomous AI Employees) transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

{
  "mcpServers": {
    "lindy-autonomous-ai-employees-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 Lindy. 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 Lindy (Autonomous AI Employees) MCP in VS Code Copilot

Add the server settings to your project's `.vscode/mcp.json` file and commit it to your repository. Every developer with the Copilot extension will automatically get access to the tools.

Yes, you can ask Copilot to start a run. It uses `trigger_lindy` to send your test JSON payload and initiate the asynchronous execution directly from your chat.

Copilot calls `get_run_logs` to fetch the raw LLM reasoning steps. It analyzes the output in your sidebar to point out exactly where your custom agent workflow broke down.

Yes, Copilot can call `list_lindies` to generate a markdown list of all custom agents configured on your workspace, complete with their active tools.

All trigger payloads and workspace configurations are processed inside ephemeral Vinkius sandboxes. The server never logs payload data, ensuring that your automated workflows remain private.

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