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

Q: How do I see which apps my agents can access?

Ask Claude to show your active connections. It queries listintegrations to fetch a live directory of every connected third-party tool like Slack or Gmail.

Q: How does the MCP server handle my private reasoning logs?

Your literal LLM reasoning logs retrieved via getrunlogs are processed inside isolated sandboxes on Vinkius. They are never cached on disk or used for training, keeping your operational logic private.

Run and audit your autonomous Lindy agents directly from your Claude Desktop app or browser interface.

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Connect Lindy (Autonomous AI Employees) MCP to Claude Desktop

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

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Control Lindy runs from your Claude Desktop chat

This MCP Server lets Claude trigger task runs directly using `trigger_lindy` to pass your payload. When a task hangs, Claude uses `cancel_run` to kill the execution before it burns your API budget. You get full control over the execution loop without leaving the chat window.

Audit reasoning logs in the sidebar

Debugging autonomous agents becomes simple when Claude pulls raw execution data using `get_run_logs`. If a connected Lindy integration misbehaves, `list_integrations` shows Claude which third-party pipeline broke.

Manage workspace boundaries and triggers

Keep your client databases separated by querying `list_workspaces` inside your Claude chat. You can check how your Lindy agents wake up by running `list_triggers` directly inside Claude. It lets you verify active cron schedules so your automated workflows run on time.

Setup guide

Set up Lindy (Autonomous AI Employees) MCP in Claude Web or Desktop

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.
2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.
3

Start a conversation

Open a new chat. The Lindy (Autonomous AI Employees) MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Prerequisites

Claude Desktop installed (macOS or Windows)
Active Vinkius subscription with a valid endpoint token

1

Open Claude Desktop Settings

Click the menu icon at the top-left corner, go to Settings → Developer → Edit Config. This opens claude_desktop_config.json in your default text editor.
2

Paste the Lindy (Autonomous AI Employees) MCP configuration

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

Restart Claude Desktop

Close and reopen the application. Claude needs a full restart to load new MCPs — refreshing a conversation is not enough.
4

Verify the connection

Open a new conversation. Click the 🔌 icon at the bottom of the message input. You should see tools listed under lindy-autonomous-ai-employees-mcp.

json

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

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Lindy (Autonomous AI Employees) now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

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

Open your developer config file inside Claude Desktop and add this MCP server to your settings. Once saved, a small hammer icon shows up in your chat bar, letting you trigger and monitor runs.

Yes, you can use the browser-based Claude Web interface instead. Go to your integration settings, paste your Vinkius remote MCP server URL, and authenticate to start running agent workflows.

You just tell Claude to stop the execution. The model calls the `cancel_run` tool under the hood, instantly terminating the active loop and preventing runaway API costs.

Ask Claude to show your active connections. It queries `list_integrations` to fetch a live directory of every connected third-party tool like Slack or Gmail.

Your literal LLM reasoning logs retrieved via `get_run_logs` are processed inside isolated sandboxes on Vinkius. They are never cached on disk or used for training, keeping your operational logic private.

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