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CONNECT APP

Build with AgentQL

Make the Web AI-Ready

Artificial Intelligence (AI)

  • API key

MCP

Give your agent AgentQL tools

Every AgentQL 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 AgentQL 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": "agentql",
      },
    },
  },
)

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().

API PROXY

Call the AgentQL API directly

For an endpoint with no pre-built tool, the Connect proxy forwards your request to the AgentQL 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.agentql.com/v1/query-data",
})

// Any allowed AgentQL endpoint works here. Pipedream attaches the
// connected account's credentials to the outgoing request.

SDK

Run AgentQL actions from your backend

Connect a user's AgentQL 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: "agentql",
  componentType: "action",
})

TOOLS

AgentQL actions

On-demand operations your product or agent can configure and run on behalf of a connected user.

No AgentQL actions are available yet.

EVENTS

AgentQL triggers

Event sources your backend can deploy for users and receive through a webhook.

No AgentQL triggers are available yet.

MULTI-APP

Use AgentQL with other popular apps

Most products don't stop at one integration. Pair AgentQL with the other apps your users rely on, and ship use cases that span both.

REFERENCE

App details

Reference metadata for the AgentQL connector in the Pipedream registry.

App slug
agentql
Authentication
API key
Categories
Artificial Intelligence (AI)
Actions
0
Triggers
0
API proxy
Available