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Build with RenderForm

Graphics editor with superpowers. Design templates to automate repetitive image or PDF creation. Get started in minutes with our template editor and no-code tools.

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MCP

Give your agent RenderForm tools

Every RenderForm 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 RenderForm account for each tool call — you store no tokens.

Pipedream Connect

// 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": "renderform",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// e.g. run Create Image with Template:
const result = await mcp.callTool({
  name: "renderform-create-image",
  arguments: {
    template: "Template",
    templateVariables: "Template Variables",
  },
})

# 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": "renderform",
}

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 Create Image with Template:
        result = await session.call_tool("renderform-create-image", {
            "template": "Template",
            "templateVariables": "Template Variables",
        })

MCP guide →

API PROXY

Call the RenderForm API directly

For an endpoint with no pre-built tool, the Connect proxy forwards your request to the RenderForm API with the connected user's credentials attached. You store no tokens and write no refresh logic.

Pipedream Connect

const resp = await pd.proxy.get({
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  accountId: "apn_xxxxxxx",
  url: "https://get.renderform.io/api/v2/my-templates",
})

// Any allowed RenderForm 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://get.renderform.io/api/v2/my-templates

curl "https://api.pipedream.com/v1/connect/{project_id}/proxy/aHR0cHM6Ly9nZXQucmVuZGVyZm9ybS5pby9hcGkvdjIvbXktdGVtcGxhdGVz?external_user_id={external_user_id}&account_id=apn_xxxxxxx" \
  -H "Authorization: Bearer {access_token}" \
  -H "x-pd-environment: production"

API proxy guide →

SDK

Run RenderForm actions from your backend

Connect a user's RenderForm account once, then run Create Image with Template on their behalf from your own code — TypeScript, Python, or plain HTTP.

Pipedream Connect

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: "renderform-create-image",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    renderform: { authProvisionId: "apn_xxxxxxx" },
    template: "Template",
    templateVariables: "Template Variables",
  },
})

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="renderform-create-image",
    external_user_id="{external_user_id}",  # any stable ID for this user in your system
    configured_props={
        "renderform": {"authProvisionId": "apn_xxxxxxx"},
        "template": "Template",
        "templateVariables": "Template Variables",
    },
)

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": "renderform-create-image",
    "configured_props": {
      "renderform": { "authProvisionId": "apn_xxxxxxx" },
      "template": "Template",
      "templateVariables": "Template Variables"
    }
  }'