CONNECT APP
Build with wit.ai
Artificial Intelligence (AI)
- API key
MCP
Give your agent wit.ai tools
Every wit.ai 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 wit.ai 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": "wit_ai",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// e.g. run Add Utterance:
const result = await mcp.callTool({
name: "wit_ai-add-utterance",
arguments: {
text: "Text",
outOfScope: true,
},
})# 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": "wit_ai",
}
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()
# e.g. run Add Utterance:
result = await session.call_tool("wit_ai-add-utterance", {
"text": "Text",
"outOfScope": True,
})API PROXY
Call the wit.ai API directly
For an endpoint with no pre-built tool, the Connect proxy forwards your request to the wit.ai API with the connected user's credentials attached. You store no tokens and write no refresh logic.
const resp = await pd.proxy.get({
externalUserId: "{external_user_id}", // any stable ID for this user in your system
accountId: "apn_xxxxxxx",
url: "https://api.wit.ai/message?v=20170307&q=hello",
})
// Any allowed wit.ai endpoint works here. Pipedream attaches the
// connected account's credentials to the outgoing request.# The path segment is the target URL, URL-safe base64 encoded:
# https://api.wit.ai/message?v=20170307&q=hello
curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9hcGkud2l0LmFpL21lc3NhZ2U_dj0yMDE3MDMwNyZxPWhlbGxv?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
-H "Authorization: Bearer {access_token}" \
-H "x-pd-environment: production"SDK
Run wit.ai actions from your backend
Connect a user's wit.ai account once, then run Add Utterance 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 result = await pd.actions.run({
id: "wit_ai-add-utterance",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
wit_ai: { authProvisionId: "apn_xxxxxxx" },
text: "Text",
outOfScope: true,
},
})from pipedream import Pipedream
pd = Pipedream(
client_id="{oauth_client_id}",
client_secret="{oauth_client_secret}",
project_id="{project_id}",
project_environment="production",
)
result = pd.actions.run(
id="wit_ai-add-utterance",
external_user_id="{external_user_id}", # any stable ID for this user in your system
configured_props={
"wit_ai": {"authProvisionId": "apn_xxxxxxx"},
"text": "Text",
"outOfScope": True,
},
)curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
-H "Content-Type: application/json" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}" \
-d '{
"external_user_id": "{external_user_id}",
"id": "wit_ai-add-utterance",
"configured_props": {
"wit_ai": { "authProvisionId": "apn_xxxxxxx" },
"text": "Text",
"outOfScope": true
}
}'TOOLS
wit.ai actions
On-demand operations your product or agent can configure and run on behalf of a connected user.
No wit.ai triggers are available yet.
MULTI-APP
Use wit.ai with other popular apps
Most products don't stop at one integration. Pair wit.ai with the other apps your users rely on, and ship use cases that span both.
- App slug
- wit_ai
- Authentication
- API key
- Categories
- Artificial Intelligence (AI)
- Actions
- 3
- Triggers
- 0
- API proxy
- Available