Connect Lindy MCP for AI Agents
Automating Complex Business Workflows with Lindy Orchestration
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What AI agents can do with Lindy: 10 Tools for Advanced Agent Workflow Management
Use these tools to list agents, trigger tasks, retrieve execution history, and deeply inspect the logic of your autonomous AI workforce.
Cancel run
Sends a hard stop command to immediately interrupt any running workflow that is stuck in a context loop.
Get run
Retrieves the specific state of an ongoing task, useful if the agent is waiting for human input or external data.
Get lindy
Fetches a Lindy's configuration details, including its primary tools and prompt instructions.
List integrations
Lists all secure connections to third-party apps like Slack or Gmail that the AI agents can access.
List runs
Shows a history of recent runs, validating the full execution path and listing active Lindy instances.
Get run logs
Dumps the agent's literal reasoning logs for a specific run, showing how it made its decisions.
Trigger lindy
Starts an asynchronous task run by triggering a Lindy and passing custom data via a JSON payload.
List triggers
Lists the various ways autonomous AI agents are scheduled or activated (e.g., Cron, Webhook).
List workspaces
Retrieves a list of all organizational boundaries and isolated teams structured within your account.
List lindies
Retrieves a list of every custom autonomous AI Assistant (Lindie) built within your workspace.
Frequently Asked Questions
How do I debug my autonomous AI workflow if it fails? +
You can get the detailed reasoning logs directly from your agent. This shows you every step of the decision-making process, letting you see exactly where the failure occurred without needing external API tools.
Can I stop an automated workflow that gets stuck in a loop? +
Yes. The MCP allows you to track active runs and issue a hard stop command (cancel_run). This is essential for preventing runaway or infinite execution loops.
How do I check which third-party apps my AI agents use? +
You can list all integrations in one place. The MCP shows every secure connection, like Gmail and Slack, giving you a clear audit trail of the AI's reach across your software stack.
What if I need to run an agent with custom data? +
You can trigger any Lindy instantly using the trigger_lindy tool. You pass complex, structured data via a JSON payload directly from your AI client, giving you full control over inputs.
Does this help me manage multiple teams' AI projects? +
Absolutely. The MCP allows you to list and navigate between different organizational boundaries or 'workspaces.' This keeps every team's automation isolated but visible from one dashboard.
What are the different ways my Lindies can be activated? +
The MCP lists all possible activation methods, including scheduled cron jobs (for routine tasks), webhooks (for real-time events), or a simple manual API trigger when you need immediate action.
Can I see exactly how my Lindy made a specific decision? +
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.
How do I trigger an autonomous task through a conversation? +
The trigger_lindy tool 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 tool 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.
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