Install
openclaw skills install botpress-integrationBotpress integration. Manage Bots. Use when the user wants to interact with Botpress data.
openclaw skills install botpress-integrationBotpress is an open-source conversational AI platform used to build and manage chatbots. Developers and businesses use it to create chatbots for various messaging platforms and websites.
Official docs: https://botpress.com/docs
This skill uses the Membrane CLI to interact with Botpress. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.
Install the Membrane CLI so you can run membrane from the terminal:
npm install -g @membranehq/cli@latest
membrane login --tenant --clientName=<agentType>
This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available.
Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with:
membrane login complete <code>
Add --json to any command for machine-readable JSON output.
Agent Types : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness
Use membrane connection ensure to find or create a connection by app URL or domain:
membrane connection ensure "https://botpress.com/" --json
The user completes authentication in the browser. The output contains the new connection id.
This is the fastest way to get a connection. The URL is normalized to a domain and matched against known apps. If no app is found, one is created and a connector is built automatically.
If the returned connection has state: "READY", skip to Step 2.
If the connection is in BUILDING state, poll until it's ready:
npx @membranehq/cli connection get <id> --wait --json
The --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING.
The resulting state tells you what to do next:
READY — connection is fully set up. Skip to Step 2.
CLIENT_ACTION_REQUIRED — the user or agent needs to do something. The clientAction object describes the required action:
clientAction.type — the kind of action needed:
"connect" — user needs to authenticate (OAuth, API key, etc.). This covers initial authentication and re-authentication for disconnected connections."provide-input" — more information is needed (e.g. which app to connect to).clientAction.description — human-readable explanation of what's needed.clientAction.uiUrl (optional) — URL to a pre-built UI where the user can complete the action. Show this to the user when present.clientAction.agentInstructions (optional) — instructions for the AI agent on how to proceed programmatically.After the user completes the action (e.g. authenticates in the browser), poll again with membrane connection get <id> --json to check if the state moved to READY.
CONFIGURATION_ERROR or SETUP_FAILED — something went wrong. Check the error field for details.
Search using a natural language description of what you want to do:
membrane action list --connectionId=CONNECTION_ID --intent "QUERY" --limit 10 --json
You should always search for actions in the context of a specific connection.
Each result includes id, name, description, inputSchema (what parameters the action accepts), and outputSchema (what it returns).
| Name | Key | Description |
|---|---|---|
| List Users | list-users | List all chat users for the bot with pagination support |
| List Conversations | list-conversations | List all conversations for the bot with pagination support |
| List Messages | list-messages | List all messages in a conversation with pagination support |
| List Events | list-events | List events with optional filters for conversation and message |
| List Tables | list-tables | List all tables in the bot |
| List Participants | list-participants | List all participants in a conversation |
| Get User | get-user | Retrieve a specific chat user by ID |
| Get Conversation | get-conversation | Retrieve a specific conversation by ID |
| Get Message | get-message | Retrieve a specific message by ID |
| Get Event | get-event | Retrieve a specific event by ID |
| Get Table | get-table | Get details of a specific table by name |
| Get Participant | get-participant | Get a specific participant in a conversation by user ID |
| Create User | create-user | Create a new chat user for the bot |
| Create Conversation | create-conversation | Create a new conversation |
| Create Message | create-message | Send a message to a conversation |
| Create Event | create-event | Create a custom event in a conversation |
| Create Table Rows | create-table-rows | Insert one or more rows into a table |
| Update User | update-user | Update an existing chat user's information |
| Delete User | delete-user | Delete a chat user by ID |
| Delete Conversation | delete-conversation | Delete a conversation by ID |
membrane action run <actionId> --connectionId=CONNECTION_ID --json
To pass JSON parameters:
membrane action run <actionId> --connectionId=CONNECTION_ID --input '{"key": "value"}' --json
The result is in the output field of the response.
When the available actions don't cover your use case, you can send requests directly to the Botpress API through Membrane's proxy. Membrane automatically appends the base URL to the path you provide and injects the correct authentication headers — including transparent credential refresh if they expire.
membrane request CONNECTION_ID /path/to/endpoint
Common options:
| Flag | Description |
|---|---|
-X, --method | HTTP method (GET, POST, PUT, PATCH, DELETE). Defaults to GET |
-H, --header | Add a request header (repeatable), e.g. -H "Accept: application/json" |
-d, --data | Request body (string) |
--json | Shorthand to send a JSON body and set Content-Type: application/json |
--rawData | Send the body as-is without any processing |
--query | Query-string parameter (repeatable), e.g. --query "limit=10" |
--pathParam | Path parameter (repeatable), e.g. --pathParam "id=123" |
membrane action list --intent=QUERY (replace QUERY with your intent) to find existing actions before writing custom API calls. Pre-built actions handle pagination, field mapping, and edge cases that raw API calls miss.