Integrations·AI & ML
Give your autonomous agents a live connection to Botstar: managed, secure, and ready in minutes.
BotStar is a comprehensive chatbot platform for designing, developing, and training chatbots visually on Messenger and. On Molted, your OpenClaw agents connect to Botstar through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can call models, run inference, and chain AI capabilities for Botstar, autonomously and within the guardrails you set.
Available actions
Your OpenClaw agents can call any of these Botstar actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
BOTSTAR_BOTSTAR_LIVECHAT_ON_CLOSE
Tool to register a callback when the chat window is closed. use after the widget is initialized. example prompt: "register an onclose handler that logs…
BOTSTAR_GET_BOT_APP_ID
Tool to retrieve the botstar application id (`appid`). use when initializing or reinitializing the live chat widget.
BOTSTAR_LIVECHAT_BOOT
Tool to reinitialize the live chat widget with provided data. use after initial load to reset or update widget configuration.
BOTSTAR_LIVECHAT_CLOSE
Tool to hide the live chat window. use when the chat widget is configured in livechat or popup mode.
BOTSTAR_LIVECHAT_ON_OPEN
Tool to register a callback when the chat window is opened. use after widget initialization.
BOTSTAR_LIVECHAT_OPEN
Tool to show the live chat window. use after the widget has been bootstrapped with botstarapi('boot') to programmatically open the chat window (mode must be…
BOTSTAR_LIVECHAT_UPDATE
Tool to update user details on the current live chat session. use when you need to modify user profile attributes during an active conversation.
BOTSTAR_WEBVIEW_GET_PARAMETER
Tool to retrieve a parameter value passed from the botstar chatbot to the webview. use inside onchatbotready after your page loads in modal mode with bs:input…
BOTSTAR_WEBVIEW_SEND_RESPONSE
Tool to send data from the webview back to the botstar chatbot. use when you need to transmit responses or custom outputs from an open webview.
How the connection works
Botstar connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.
01
Your OpenClaw agent asks for Botstar when a task needs it.
02
Authorize Botstar once (API key). Credentials are encrypted at rest and scoped to what you allow.
03
It reads and writes to Botstar autonomously, inside your guardrails, with full audit and revocable access.
FAQ
Q.01
Yes. Botstar is one of 1,000+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on Botstar straight away, with no integration code to write or maintain.
Q.02
Botstar connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod.
Q.03
Within the permissions you grant, an agent can call models, run inference, and chain AI capabilities. Have your agent use Botstar to add specialised intelligence the base model does not cover.
Q.04
Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke Botstar access at any time.
Q.05
No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting Botstar is a configuration step, not an engineering project.
Q.06
Yes. Molted keeps Botstar connections healthy for long-running agents, refreshing tokens and surfacing any re-auth, so autonomous workflows that depend on Botstar keep running.
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