Lindy (Autonomous AI Employees) Connector for AI agents.
10 live capabilities
Manage your autonomous AI workforce and business workflows from a single chat.
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Why people use Lindy (Autonomous AI Employees)
Lindy for Autonomous AI Workforce Management
This Connector changes that by putting your entire Lindy.ai workspace into your chat interface. You can ask your agent to list all your assistants, check their status, or pull reasoning logs instantly. You get a single point of control for your entire AI workforce.
What Vinkius changes
You get a direct command line for your autonomous AI workforce inside your favorite chat interface.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Auditing Marketing Agent Access
An Ops Manager asks the agent to 'Show me all Lindies in the Marketing workspace' to see who is handling the new campaign.
- Real-world use case 02
Debugging Sales Lead Logic
A Developer asks for 'reasoning logs for the last sales run' to figure out why the agent skipped a specific lead.
- Real-world use case 03
Verifying Webhook Triggers
A Founder asks 'what triggers are active' to audit how many webhooks are currently feeding data into their AI workforce.
Complete set · 10capabilities
The complete Lindy (Autonomous AI Employees) capability set.
These are the exact actions your AI can choose when you ask it to work with Lindy (Autonomous AI Employees).
01—04
4 capabilities in this set.
Part of 10 available through Lindy (Autonomous AI Employees).
- 01 Capability
Cancel run
Stop a running task immediately to break out of loops. This prevents your agent from wasting resources on a broken process.
- 02 Capability
Get run
Check the status of a run that's waiting for a human or an external API. This helps you see exactly where a task is blocked.
- 03 Capability
Get lindy
Look up the specific prompt instructions and capability mappings for a Lindy. This lets you see the core logic of any assistant.
- 04 Capability
List integrations
See all connected apps like Slack or Gmail in one list. Use this to manage your AI's reach across your software stack.
05—07
3 capabilities in this set.
Part of 10 available through Lindy (Autonomous AI Employees).
- 05 Capability
List runs
See a history of recent executions and their current status. This provides a clear timeline of your automated tasks.
- 06 Capability
List lindies
List every custom assistant built in your Lindy workspace. This gives you a full inventory of your autonomous employees.
- 07 Capability
Trigger lindy
Start a new asynchronous task by sending a JSON payload. This lets you kick off complex workflows on demand.
08—10
3 capabilities in this set.
Part of 10 available through Lindy (Autonomous AI Employees).
- 08 Capability
List triggers
See how your agents are woken up by webhooks, APIs, or cron jobs. This helps you audit your automated entry points.
- 09 Capability
List workspaces
See all the different team boundaries in your organization. This helps you understand how your AI workforce is distributed.
- 10 Capability
Get run logs
Pull the literal reasoning logs for a specific task loop. This is the best way to debug how your agent is making decisions.
Set up in minutes
One URL. Then ask Lindy (Autonomous AI Employees) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Lindy (Autonomous AI Employees) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_c2F5Hk7TPFg1Cz9vjMKKvEPPvQH0HYkK2vL7pHhF/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it Lindy (Autonomous AI Employees), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable Lindy (Autonomous AI Employees) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_c2F5Hk7TPFg1Cz9vjMKKvEPPvQH0HYkK2vL7pHhF/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the Lindy (Autonomous AI Employees) URL.
- Step 03
Save and start
Save the connection and enable Lindy (Autonomous AI Employees) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"lindy-autonomous-ai-employees": {
"url": "https://edge.vinkius.com/vk_preview_c2F5Hk7TPFg1Cz9vjMKKvEPPvQH0HYkK2vL7pHhF/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using Lindy (Autonomous AI Employees)
Open Agent mode in chat and ask: "Using Lindy (Autonomous AI Employees), help me...". 10 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"lindy-autonomous-ai-employees": {
"url": "https://edge.vinkius.com/vk_preview_c2F5Hk7TPFg1Cz9vjMKKvEPPvQH0HYkK2vL7pHhF/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using Lindy (Autonomous AI Employees)
Ask Copilot: "Using Lindy (Autonomous AI Employees), help me...". 10 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"lindy-autonomous-ai-employees": {
"url": "https://edge.vinkius.com/vk_preview_c2F5Hk7TPFg1Cz9vjMKKvEPPvQH0HYkK2vL7pHhF/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using Lindy (Autonomous AI Employees)
Open Cascade and ask: "Using Lindy (Autonomous AI Employees), help me...". 10 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"lindy-autonomous-ai-employees": {
"url": "https://edge.vinkius.com/vk_preview_c2F5Hk7TPFg1Cz9vjMKKvEPPvQH0HYkK2vL7pHhF/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using Lindy (Autonomous AI Employees)
Ask Cline: "Using Lindy (Autonomous AI Employees), help me...". 10 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add lindy-autonomous-ai-employees --transport http "https://edge.vinkius.com/vk_preview_c2F5Hk7TPFg1Cz9vjMKKvEPPvQH0HYkK2vL7pHhF/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using Lindy (Autonomous AI Employees)
Ask Claude: "Using Lindy (Autonomous AI Employees), show me...". 10 tools are ready
Where the request belongs
Work Lindy can move forward.
This is for the operations manager who needs to oversee a fleet of agents, the developer debugging complex agent logic, and the founder auditing AI permissions across the company.
Operations Manager
You use this on a Tuesday afternoon to check which automated reports finished and which ones are still waiting on human approval.
AI Developer
You use this to pull reasoning logs to see exactly why an agent is failing to complete a multi-step task without manual API testing.
Founder
You use this to audit every Slack and Gmail integration to ensure your AI workforce has the correct permissions across different teams.
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Bring your own AI
Change the model, client or framework. Keep Lindy connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
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Void -
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Pieces -
Sourcegraph Cody -
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TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about Lindy.
The practical details behind the request, access and result.
What is the Lindy MCP for AI Agents?
It's a way to connect your Lindy.ai account to your AI client so you can manage your autonomous AI workforce through a chat interface.
How can I manage my Lindy workforce using this?
You can use your agent to list all your assistants, trigger new tasks with specific instructions, and monitor their progress in real time.
Can I see why my Lindy agent is stuck?
Yes, you can pull the literal reasoning logs for any specific run to see exactly how the agent is making decisions and where it's getting caught.
How do I see which apps my AI agents are connected to?
You can ask your agent to list all integrations, which will show you every secure connection to apps like Slack, Gmail, and your CRM.
Can I trigger a specific Lindy task with custom data?
Yes, you can trigger an assistant to start a new task by providing a JSON payload with the specific details it needs to run.
How does this help with auditing my AI employees?
It gives you a bird's eye view of your entire automated operation, including workspace boundaries, active triggers, and all connected software capabilities.
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.
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.
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.
One connection away
Give your agent a direct line to Lindy.
Connect Lindy once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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