ClaudeChatGPTPerplexityGeminiMicrosoft CopilotRaycastMeta AIGrokZ.aiQwenKimi
DeepSeekMistralCursorVS CodeWindsurfJetBrainsClineLovableVercel AI SDKLangChain

Use Lindy with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Manage autonomous AI employees via Lindy. trigger task runs, monitor reasoning logs, and audit app integrations.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 10 capabilities

The complete Lindy capability set.

These are the exact actions your AI can choose when you ask it to work with Lindy.

Capability set01 / 03

01-04

4 capabilities in this set.

Part of 10 available through Lindy.

  1. 01

    Get lindy

    Get configuration mappings including standard capabilities and prompts for a specific Lindy

  2. 02

    Get run

    Get specific state for a Run blocking on Human input or External APIs

  3. 03

    List integrations

    List bounded third-party app connections securely connected (e.g Slack, Gmail)

  4. 04

    List lindies

    List all custom autonomous AI Assistants (Lindies) built on the workspace

Capability set02 / 03

05-07

3 capabilities in this set.

Part of 10 available through Lindy.

  1. 05

    List triggers

    List how autonomous AI agents are woken up (Cron, Webhook, API)

  2. 06

    List workspaces

    List all explicit organizational boundaries structuring isolated Teams

  3. 07

    Trigger lindy

    Trigger a Lindy to start an asynchronous task run parsing a JSON payload

Capability set03 / 03

08-10

3 capabilities in this set.

Part of 10 available through Lindy.

  1. 08

    Cancel run

    Cancel a running execution dispatching hard stops interrupting trapped context loops

  2. 09

    Get run logs

    Dump literal LLM reasoning logs isolating a specific run loop

  3. 10

    List runs

    List recent runs validating the full execution graph isolating active Lindy instances

Observed, not estimated

844ms average. Fast in production.

Lindy is checked daily against the live service.

Daily averagePeak 1179ms
Aug 20Today
Fastest day
699ms
Slowest day
1179ms
14-day trend
Slowing+50%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 10 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Lindy, so you can see the experience inside your AI.

It does not authenticate your account with Lindy. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Lindy Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_c2F5Hk7TPFg1Cz9vjMKKvEPPvQH0HYkK2vL7pHhF/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Lindy capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "lindy-autonomous-ai-employees-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_c2F5Hk7TPFg1Cz9vjMKKvEPPvQH0HYkK2vL7pHhF/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Lindy owners ask.

  • 01

    Can I see exactly how my Lindy made a specific decision?

    Yes. Use the get_run_logs capability with a specific Run ID. Your agent will retrieve the literal LLM reasoning loops and step-by-step validations, giving you full transparency into the autonomous agent's logic.

  • 02

    How do I trigger an autonomous task through a conversation?

    The trigger_lindy capability allows you to start an asynchronous task run. You just need to provide the Lindy ID and a JSON payload defining the inputs for the task. Your agent will fire the job and return a Run ID for status tracking.

  • 03

    Can my agent list which third-party apps my Lindies are connected to?

    Absolutely. Use the list_integrations capability to retrieve all active third-party app connections. Your agent will report which channels (like Slack, Gmail, or HubSpot) are securely connected to your workspace.