CONNECT APP
Build with Faraday
Artificial Intelligence (AI)
- API key
MCP
Give your agent Faraday tools
Every Faraday 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 Faraday 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": "faraday",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// e.g. run List Target ID Options:
const result = await mcp.callTool({
name: "faraday-list-target-id-options",
arguments: {},
})# 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": "faraday",
}
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 List Target ID Options:
result = await session.call_tool("faraday-list-target-id-options", {})API PROXY
Call the Faraday API directly
For an endpoint with no pre-built tool, the Connect proxy forwards your request to the Faraday 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.faraday.ai/v1/accounts/current",
})
// Any allowed Faraday 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.faraday.ai/v1/accounts/current
curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9hcGkuZmFyYWRheS5haS92MS9hY2NvdW50cy9jdXJyZW50?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
-H "Authorization: Bearer {access_token}" \
-H "x-pd-environment: production"SDK
Run Faraday actions from your backend
Connect a user's Faraday account once, then run List Target ID Options 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: "faraday-list-target-id-options",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
faraday: { authProvisionId: "apn_xxxxxxx" },
},
})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="faraday-list-target-id-options",
external_user_id="{external_user_id}", # any stable ID for this user in your system
configured_props={
"faraday": {"authProvisionId": "apn_xxxxxxx"},
},
)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": "faraday-list-target-id-options",
"configured_props": {
"faraday": { "authProvisionId": "apn_xxxxxxx" }
}
}'TOOLS
Faraday actions
On-demand operations your product or agent can configure and run on behalf of a connected user.
EVENTS
Faraday triggers
Event sources your backend can deploy for users and receive through a webhook.
No Faraday triggers are available yet.
MULTI-APP
Use Faraday with other popular apps
Most products don't stop at one integration. Pair Faraday with the other apps your users rely on, and ship use cases that span both.
- App slug
- faraday
- Authentication
- API key
- Categories
- Artificial Intelligence (AI)
- Actions
- 2
- Triggers
- 0
- API proxy
- Available