CONNECT APP
Build with AI Chatbot Hub
Artificial Intelligence (AI)
- API key
MCP
Give your agent AI Chatbot Hub tools
Every AI Chatbot Hub action is exposed as an MCP tool on Pipedream's remote server. Point a client at it with your end user's ID and Connect resolves that user's AI Chatbot Hub account for each tool call — you store no tokens.
// accessToken: mint a short-lived token with the Connect SDK — see the MCP guide
const transport = new StreamableHTTPClientTransport(
new URL("https://remote.mcp.pipedream.net/v3"),
{
requestInit: {
headers: {
Authorization: `Bearer ${accessToken}`,
"x-pd-project-id": "{project_id}",
"x-pd-environment": "production",
"x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
"x-pd-app-slug": "ai_chatbot_hub",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// Every tool arrives with its own input schema — run one with mcp.callTool().# access_token: mint a short-lived token with the Connect SDK — see the MCP guide
headers = {
"Authorization": f"Bearer {access_token}",
"x-pd-project-id": "{project_id}",
"x-pd-environment": "production",
"x-pd-external-user-id": "{external_user_id}", # any stable ID for this user in your system
"x-pd-app-slug": "ai_chatbot_hub",
}
async with streamablehttp_client("https://remote.mcp.pipedream.net/v3", headers=headers) as (read, write, _):
async with ClientSession(read, write) as session:
await session.initialize()
tools = await session.list_tools()
# Every tool arrives with its own input schema — run one with call_tool().SDK
Run AI Chatbot Hub actions from your backend
Connect a user's AI Chatbot Hub account once, then discover and run its tools on their behalf from your own code — TypeScript, Python, or plain HTTP.
import { PipedreamClient } from "@pipedream/sdk"
const pd = new PipedreamClient({
projectId: process.env.PIPEDREAM_PROJECT_ID!,
clientId: process.env.PIPEDREAM_CLIENT_ID!,
clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
projectEnvironment: "production",
})
const tools = await pd.components.list({
app: "ai_chatbot_hub",
componentType: "action",
})from pipedream import Pipedream
pd = Pipedream(
client_id="{oauth_client_id}",
client_secret="{oauth_client_secret}",
project_id="{project_id}",
project_environment="production",
)
tools = pd.components.list(
app="ai_chatbot_hub",
component_type="action",
)curl "https://api.pipedream.com/v1/connect/{project_id}/components?app=ai_chatbot_hub&component_type=action" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}"TOOLS
AI Chatbot Hub actions
On-demand operations your product or agent can configure and run on behalf of a connected user.
No AI Chatbot Hub actions are available yet.
EVENTS
AI Chatbot Hub triggers
Event sources your backend can deploy for users and receive through a webhook.
No AI Chatbot Hub triggers are available yet.
MULTI-APP
Use AI Chatbot Hub with other popular apps
Most products don't stop at one integration. Pair AI Chatbot Hub with the other apps your users rely on, and ship use cases that span both.
- App slug
- ai_chatbot_hub
- Authentication
- API key
- Categories
- Artificial Intelligence (AI)
- Actions
- 0
- Triggers
- 0
- API proxy
- Not available