Bring Chatbot
to OpenAI Agents SDK
Learn how to connect Landbot to OpenAI Agents SDK and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Landbot MCP Server?
Connect your Landbot account to any AI agent and manage chatbots through natural conversation.
What you can do
- Bot Management — List bots, inspect configurations, and track performance
- Conversation Tracking — Browse conversations, read messages, and send replies
- Customer Database — List customers with engagement data and conversation history
- Flow Monitoring — Track chatbot flows and their conversion metrics
- Channel Management — Monitor WhatsApp, Web, and API channels
- Analytics — Access conversation metrics, response rates, and bot performance
How it works
1. Subscribe to this server
2. Enter your Landbot API Token
3. Start managing chatbots from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Marketing — manage lead-generation bots and track conversions
- Support — monitor customer conversations and response quality
- Growth — analyze chatbot performance and optimize flows
Built-in capabilities (12)
Check API status
Get user profile
Assign to human
List available bots
List chatbot users
Get event configs
List support agents
Send chat image
Send chat message
Send WA template
Start bot flow
Set user property
Why OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 12 tools from Landbot through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Landbot, 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
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Landbot in OpenAI Agents SDK
Landbot and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Landbot to OpenAI Agents SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Landbot in OpenAI Agents SDK
The Landbot 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in OpenAI Agents SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
Landbot for OpenAI Agents SDK
Every tool call from OpenAI Agents SDK to the Landbot MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I manage bots and read conversations?
Yes. List all bots with performance metrics, browse conversations with full message history, and send replies to customers.
How does Landbot authentication work?
Landbot uses a Token header for authentication against api.landbot.io/v1. This differs from standard Bearer authentication.
Can I track chatbot conversion metrics?
Yes. Monitor flow completion rates, drop-off points, lead capture rates, and conversation-to-conversion metrics per bot.
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.