CONNECT APP
Build with OpenRouter
Artificial Intelligence (AI)
- API key
MCP
Give your agent OpenRouter tools
Every OpenRouter 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 OpenRouter 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": "openrouter",
},
},
},
)
const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)
const { tools } = await mcp.listTools()
// e.g. run Retrieve Available Models:
const result = await mcp.callTool({
name: "openrouter-retrieve-available-models",
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": "openrouter",
}
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 Retrieve Available Models:
result = await session.call_tool("openrouter-retrieve-available-models", {})API PROXY
Call the OpenRouter API directly
For an endpoint with no pre-built tool, the Connect proxy forwards your request to the OpenRouter 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://openrouter.ai/api/v1/parameters/openai/o1",
})
// Any allowed OpenRouter 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://openrouter.ai/api/v1/parameters/openai/o1
curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9vcGVucm91dGVyLmFpL2FwaS92MS9wYXJhbWV0ZXJzL29wZW5haS9vMQ?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
-H "Authorization: Bearer {access_token}" \
-H "x-pd-environment: production"SDK
Run OpenRouter actions from your backend
Connect a user's OpenRouter account once, then run Retrieve Available Models 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: "openrouter-retrieve-available-models",
externalUserId: "{external_user_id}", // any stable ID for this user in your system
configuredProps: {
openrouter: { 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="openrouter-retrieve-available-models",
external_user_id="{external_user_id}", # any stable ID for this user in your system
configured_props={
"openrouter": {"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": "openrouter-retrieve-available-models",
"configured_props": {
"openrouter": { "authProvisionId": "apn_xxxxxxx" }
}
}'TOOLS
OpenRouter actions
On-demand operations your product or agent can configure and run on behalf of a connected user.
-
Retrieve Available Models
actionReturns a list of models available through the API. See the documentationRead-onlyv0.0.2 -
Send Chat Completion Request
actionSend a chat completion request to a selected model. See the documentationWritev0.0.3 -
Send Completion Request
actionSend a completion request to a selected model (text-only format) See the documentationWritev0.0.3
EVENTS
OpenRouter triggers
Event sources your backend can deploy for users and receive through a webhook.
No OpenRouter triggers are available yet.
MULTI-APP
Use OpenRouter with other popular apps
Most products don't stop at one integration. Pair OpenRouter with the other apps your users rely on, and ship use cases that span both.
- App slug
- openrouter
- Authentication
- API key
- Categories
- Artificial Intelligence (AI)
- Actions
- 3
- Triggers
- 0
- API proxy
- Available