CONNECT APP
Build with Progress Agentic RAG
Artificial Intelligence (AI)
- API key
MCP
Give your agent Progress Agentic RAG tools
Every Progress Agentic RAG 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 Progress Agentic RAG 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": "progress_agentic_rag",
},
},
},
)
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": "progress_agentic_rag",
}
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().API PROXY
Call the Progress Agentic RAG API directly
For an endpoint with no pre-built tool, the Connect proxy forwards your request to the Progress Agentic RAG 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.example.com/v1/me",
})
// Any allowed Progress Agentic RAG 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.example.com/v1/me
curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9hcGkuZXhhbXBsZS5jb20vdjEvbWU?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
-H "Authorization: Bearer {access_token}" \
-H "x-pd-environment: production"SDK
Run Progress Agentic RAG actions from your backend
Connect a user's Progress Agentic RAG 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: "progress_agentic_rag",
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="progress_agentic_rag",
component_type="action",
)curl "https://api.pipedream.com/v1/connect/{project_id}/components?app=progress_agentic_rag&component_type=action" \
-H "X-PD-Environment: production" \
-H "Authorization: Bearer {access_token}"TOOLS
Progress Agentic RAG actions
On-demand operations your product or agent can configure and run on behalf of a connected user.
No Progress Agentic RAG actions are available yet.
EVENTS
Progress Agentic RAG triggers
Event sources your backend can deploy for users and receive through a webhook.
No Progress Agentic RAG triggers are available yet.
REFERENCE
App details
Reference metadata for the Progress Agentic RAG connector in the Pipedream registry.
- App slug
- progress_agentic_rag
- Authentication
- API key
- Categories
- Artificial Intelligence (AI)
- Actions
- 0
- Triggers
- 0
- API proxy
- Available