MCP For Claude Marketplace
Lindy (Autonomous AI Employees)

Lindy (Autonomous AI Employees) MCP Connector for Claude

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Manage autonomous AI employees via Lindy — trigger task runs, monitor reasoning logs, and audit app integrations.

10 tools Official Updated Jun 28, 2026 Official Vinkius Partner
More Details Connect to Claude

Connect your Lindy.ai account to any AI agent and take full control of your autonomous AI workforce and automated business processes through natural conversation.

What you can do

  • Lindy Orchestration — List all custom autonomous assistants (Lindies) built in your workspace and retrieve their core configurations and prompt instructions directly from your agent
  • Task Execution — Trigger specific Lindies to start asynchronous task runs using dynamic JSON payloads to automate complex business workflows
  • Reasoning Audit — Dump literal LLM reasoning logs for specific run loops to understand how your autonomous agents are making decisions and identifying steps
  • Run Monitoring — Track the state of active executions and manage lifecycle controls, including the ability to cancel runs stuck in context loops securely
  • Integration Visibility — Enumerate secure connections to third-party apps like Slack, Gmail, and CRM systems to manage your AI's reach across your software stack
  • Workspace Management — Navigate organizational boundaries and team structures to understand how Lindies are distributed across your company

How it works

  1. Subscribe to this server
  2. Enter your Lindy API Token
  3. Start managing your autonomous AI workforce from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Operations Managers — automate repetitive workflows by triggering specialized Lindies and monitoring their execution history through natural conversation
  • Developers — debug autonomous agent logic and inspect reasoning logs directly from your workspace without manual API testing
  • Founders & Leaders — audit AI integrations and monitor the performance of your automated workforce across different team boundaries efficiently
orchestrationagent-managementtask-automationaudit-logsworkflow-monitoringintegration-management

10 tools expose this connector's capabilities to your AI agent.

cancel_run

Cancel a running execution dispatching hard stops interrupting trapped context loops

get_run

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

get_lindy

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

list_integrations

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

list_runs

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

list_lindies

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

get_run_logs

Dump literal LLM reasoning logs isolating a specific run loop

trigger_lindy

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

list_triggers

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

list_workspaces

List all explicit organizational boundaries structuring isolated Teams

See how to talk to your AI agent using Lindy (Autonomous AI Employees).

List all active Lindies in my workspace

I've found 3 autonomous assistants: 'Sales-Research-Lindy' (ID: l-123), 'Customer-Support-Lindy' (ID: l-456), and 'Content-Writer-Lindy' (ID: l-789). Which one would you like to trigger or inspect?

Show me the reasoning logs for the last run of 'Sales-Research-Lindy'

Retrieving logs for run ID 'run-98765'… I've extracted the reasoning steps. The Lindy searched for LinkedIn profiles, identified 5 targets, drafted personalized intro emails, and is now waiting for your approval to send them via Gmail. Would you like to see the draft email content?

What triggers are currently configured for our autonomous agents?

I've identified 3 active triggers: 1) Webhook (ID: tr-123) for 'Support-Lindy', 2) Scheduled Cron (Daily at 9 AM) for 'Report-Lindy', and 3) Manual API trigger for all assistants. I can provide the specific webhook URLs if needed.

Yes. Use the `get_run_logs` tool 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.

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