Bring Orchestration
to OpenAI Agents SDK
Create your Vinkius account to connect Lindy (Autonomous AI Employees) to OpenAI Agents SDK and start using all 10 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.
GDPR Free for SubscribersCompatible with every major AI agent and IDE
Gemini
What is the 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.
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
- Subscribe to this server
- Enter your Lindy API Token
- 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
Built-in capabilities (10)
Cancel a running execution dispatching hard stops interrupting trapped context loops
Get configuration mappings including standard tools and prompts for a specific Lindy
Get specific state for a Run blocking on Human input or External APIs
Dump literal LLM reasoning logs isolating a specific run loop
List bounded third-party app connections securely connected (e.g Slack, Gmail)
List all custom autonomous AI Assistants (Lindies) built on the workspace
List recent runs validating the full execution graph isolating active Lindy instances
List how autonomous AI agents are woken up (Cron, Webhook, API)
List all explicit organizational boundaries structuring isolated Teams
Trigger a Lindy to start an asynchronous task run parsing a JSON payload
Why OpenAI Agents SDK?
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 Vinkius.
- —
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) in OpenAI Agents SDK
Why run Lindy (Autonomous AI Employees) with Vinkius?
The Lindy (Autonomous AI Employees) connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 10 tools are ready to work instantly without any complex setup.
You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.
* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure
Over 4,000 integrations ready for AI agents
Explore a vast library of pre-built integrations, optimized and ready to deploy.
Connect securely in under 30 seconds
Generate tokens to authenticate and link external services in a single step.
Complete visibility into every agent action
Audit live requests, latency, success rates, and active security compliance policies.
Optimize spending and track token ROI
Analyze real-time token consumption and cost metrics detailed by connection.
Explore our live AI Agents Analytics dashboard to see it all working
This dashboard is included when you connect Lindy (Autonomous AI Employees) using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.
Lindy (Autonomous AI Employees) and 4,000+ other AI tools. No hosting, no code, ready to use.
Professionals who connect Lindy (Autonomous AI Employees) to OpenAI Agents SDK through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.
Raw MCP | Vinkius | |
|---|---|---|
| Ready-to-use MCPs | Find and configure each manually | 4,000+ MCPs ready to use |
| Connection Setup | Manual coding & server setup | 1-click instant connection |
| Server Hosting | You host it yourself (needs 24/7 uptime) | 100% hosted & managed by Vinkius |
| Security & Privacy | Stored in plaintext config files | Bank-grade encrypted vault |
| Activity Visibility | Blind execution (no logs or tracking) | Live dashboard with real-time logs |
| Cost Control | Runaway AI token spend risk | Automatic budget limits |
| Revoking Access | Must delete files or code to stop | 1-click disconnect button |
How Vinkius secures
Lindy (Autonomous AI Employees) for OpenAI Agents SDK
Every request between OpenAI Agents SDK and Lindy (Autonomous AI Employees) is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.
Frequently asked questions
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.
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.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
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.
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