CONNECT APP
Build with Perplexity
Artificial Intelligence (AI)
- API key
MCP
Give your agent Perplexity tools
Every Perplexity 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 Perplexity 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": "perplexity",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// e.g. run Chat Completions:
const result = await mcp.callTool({
name: "perplexity-chat-completions",
arguments: {
model: "Model",
content: "Content",
},
})# 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": "perplexity",
}
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 Chat Completions:
result = await session.call_tool("perplexity-chat-completions", {
"model": "Model",
"content": "Content",
})API PROXY
Call the Perplexity API directly
For an endpoint with no pre-built tool, the Connect proxy forwards your request to the Perplexity 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.perplexity.ai/chat/completions",
})
// Any allowed Perplexity 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.perplexity.ai/chat/completions
curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9hcGkucGVycGxleGl0eS5haS9jaGF0L2NvbXBsZXRpb25z?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
-H "Authorization: Bearer {access_token}" \
-H "x-pd-environment: production"SDK
Run Perplexity actions from your backend
Connect a user's Perplexity account once, then run Chat Completions 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: "perplexity-chat-completions",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
perplexity: { authProvisionId: "apn_xxxxxxx" },
model: "Model",
content: "Content",
},
})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="perplexity-chat-completions",
external_user_id="{external_user_id}", # any stable ID for this user in your system
configured_props={
"perplexity": {"authProvisionId": "apn_xxxxxxx"},
"model": "Model",
"content": "Content",
},
)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": "perplexity-chat-completions",
"configured_props": {
"perplexity": { "authProvisionId": "apn_xxxxxxx" },
"model": "Model",
"content": "Content"
}
}'TOOLS
Perplexity actions
On-demand operations your product or agent can configure and run on behalf of a connected user.
-
Chat Completions
actionGenerates a model's response for the given chat conversation. See the documentationWritev0.0.9 -
Chat Completions (Advanced)
actionGenerates a model's response for the given chat conversation with multi-message support and Perplexity search controls. Docs: https://docs.perplexity.ai/api-reference/chat-completions-postWritev0.0.4 -
Create Contextualized Embeddings
actionGenerates contextualized vector embeddings for grouped text inputs. See the documentationRead-onlyv0.0.2 -
Create Embeddings
actionGenerates vector embeddings for text inputs. See the documentationRead-onlyv0.0.2 -
Create Response (Agent API)
actionCreates a response using the Agent API with presets, third-party models, and tools. See the documentationWritev0.0.2 -
Search
actionPerforms a web search and returns raw, ranked results. See the documentationRead-onlyv0.0.2
EVENTS
Perplexity triggers
Event sources your backend can deploy for users and receive through a webhook.
No Perplexity triggers are available yet.
MULTI-APP
Use Perplexity with other popular apps
Most products don't stop at one integration. Pair Perplexity with the other apps your users rely on, and ship use cases that span both.
- App slug
- perplexity
- Authentication
- API key
- Categories
- Artificial Intelligence (AI)
- Actions
- 6
- Triggers
- 0
- API proxy
- Available