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.

Lindy (Autonomous AI Employees) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Lindy (Autonomous AI Employees)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Lindy (Autonomous AI Employees) through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Lindy (Autonomous AI Employees) Assistant",
            instructions=(
                "You help users interact with Lindy (Autonomous AI Employees). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Lindy (Autonomous AI Employees)"
        )
        print(result.final_output)

asyncio.run(main())

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Lindy (Autonomous AI Employees) MCP Server

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.

The OpenAI Agents SDK auto-discovers all 10 tools from Lindy (Autonomous AI Employees) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Lindy (Autonomous AI Employees), another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

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

The Lindy (Autonomous AI Employees) MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Lindy (Autonomous AI Employees) to OpenAI Agents SDK via MCP

Follow these steps to integrate the Lindy (Autonomous AI Employees) MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Lindy (Autonomous AI Employees)

Why Use OpenAI Agents SDK with the Lindy (Autonomous AI Employees) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Lindy (Autonomous AI Employees) through the Model Context Protocol.

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Lindy (Autonomous AI Employees) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Lindy (Autonomous AI Employees) MCP Server delivers measurable value.

Automated workflows: build agents that query Lindy (Autonomous AI Employees), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents — one queries Lindy (Autonomous AI Employees), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Lindy (Autonomous AI Employees) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Lindy (Autonomous AI Employees) to resolve tickets, look up records, and update statuses without human intervention

Lindy (Autonomous AI Employees) MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Lindy (Autonomous AI Employees) to OpenAI Agents SDK via MCP:

cancel_run

Cancel a running execution dispatching hard stops interrupting trapped context loops

get_lindy

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

get_run

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

get_run_logs

Dump literal LLM reasoning logs isolating a specific run loop

list_integrations

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

list_lindies

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

list_runs

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

list_triggers

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

list_workspaces

List all explicit organizational boundaries structuring isolated Teams

trigger_lindy

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

Example Prompts for Lindy (Autonomous AI Employees) in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Lindy (Autonomous AI Employees) immediately.

"List all active Lindies in my workspace"

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

"What triggers are currently configured for our autonomous agents?"

Troubleshooting Lindy (Autonomous AI Employees) MCP Server with OpenAI Agents SDK

Common issues when connecting Lindy (Autonomous AI Employees) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Lindy (Autonomous AI Employees) + OpenAI Agents SDK FAQ

Common questions about integrating Lindy (Autonomous AI Employees) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.