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

Q: Can Claude Code trigger a Lindy (Autonomous AI Employees) task?

Yes. Use the triggerlindy tool with your task payload to start an asynchronous run immediately.

Q: How do I list my Lindy (Autonomous AI Employees) agents via terminal?

The listlindies tool lists all your configured agents. It's standard output, ready for your scripts.

Q: Is it possible to cancel a run from the CLI?

Yes. Use cancelrun followed by the run ID. It stops the execution dead in its tracks.

Connect Claude Code to your Lindy (Autonomous AI Employees) for headless, terminal-based agent orchestration.

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Connect Lindy (Autonomous AI Employees) MCP to Claude Code

Create your Vinkius account to connect Lindy (Autonomous AI Employees) to Claude Code 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 Claude Code

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Headless agent management via Claude Code

Integrate your terminal workflows with `trigger_lindy`. It’s built for CI/CD pipelines where you need to kick off tasks without a GUI. Pipe the output directly into your logs. It's clean, fast, and stays out of your way.

Terminal-based monitoring of Lindy (Autonomous AI Employees)

Use `get_run_logs` to verify execution reasoning right in your shell. It’s perfect for SREs who need to know why a run failed without clicking through a browser. If something goes sideways, use `cancel_run` to stop the bleeding instantly. Keep your production environment clean.

Audit your integrations from the CLI

Keep tabs on your third-party connections using `list_integrations`. It tells you exactly what your agents are connected to from your terminal prompt. This makes auditing your infrastructure simple. No fluff, just the data you need to secure your operations.

Setup guide

Set up Lindy (Autonomous AI Employees) MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see lindy-autonomous-ai-employees-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Lindy (Autonomous AI Employees) transactions." It will automatically discover and invoke the available Lindy (Autonomous AI Employees) tools.

Terminal

claude mcp add --transport http lindy-autonomous-ai-employees-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Lindy (Autonomous AI Employees) MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "lindy-autonomous-ai-employees-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

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Common questions about Lindy (Autonomous AI Employees) MCP in Claude Code

Run the add command with the transport flag. It registers the server so you can call tools directly from the CLI.

Yes. Use the `trigger_lindy` tool with your task payload to start an asynchronous run immediately.

The `list_lindies` tool lists all your configured agents. It's standard output, ready for your scripts.

Yes. Use `cancel_run` followed by the run ID. It stops the execution dead in its tracks.

The server uses explicit endpoint tokens for every request. It only touches your run logs and metadata, ensuring your core data stays safe.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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