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@port-labs/n8n-nodes-portio-experimental

v1.0.0

Published

EXPERIMENTAL: n8n nodes for Port.io

Downloads

98

Readme

🧩 @port-labs/n8n-nodes-portio-experimental

Port.io n8n custom nodes for interacting with Port via n8n workflows.

As of November 2025, the focus of this package is on AI interactions through Port’s AI APIs. Future releases will expand to additional REST integrations and workflow automations, enabling n8n and Port users to connect multiple tools seamlessly. This is an experimental package, no support can be provided in relation to your use of this package, if you've found a bug or need a feature currently not supported, open a GitHub issue,


🚀 Installation

Option 1 — Install via npm (recommended)

You can install the package directly from npm:

npm install @port-labs/n8n-nodes-portio-experimental

or using pnpm:

pnpm add @port-labs/n8n-nodes-portio-experimental

Note: When installed this way, the nodes will be available in your n8n instance once you configure n8n to load community nodes. To enable this you must set the environment variable N8N_COMMUNITY_PACKAGES_ENABLED=true and install the npm packages in N8N_HOME.


Option 2 — Local installation (development or custom build)

Prerequisites

  • 🧱 A working n8n instance (see this quick-start guide for setup via Docker Compose)
  • 📦 pnpm installed globally (npm install -g pnpm)

Steps

  1. Clone this repository inside your n8n custom nodes directory:

    mkdir -p ./n8n-data/custom
    cd ./n8n-data/custom
    git clone https://github.com/port-labs/n8n-nodes-portio-experimental.git
    cd n8n-nodes-portio-experimental
  2. Install dependencies and build the TypeScript source:

    pnpm install
    pnpm build
  3. If the build completes successfully, you’ll see a new dist directory containing the compiled nodes.


🧭 Quick Start

Adding a Port node in n8n

  1. Create a new workflow in your running n8n instance.
    Create workflow

  2. Set the trigger to “Manual Trigger” so you can execute it by clicking.
    Trigger workflow

  3. Add a new node (+ button) and search for port.
    Search for port

  4. Select the Port.io node and choose “General Purpose AI Interaction”.
    Select node

  5. Connect the trigger node to the Port node.
    Connect nodes

🎉 You’ve just deployed your first Port n8n node!


🔐 Adding Your Port Account

You can store multiple Port credentials in n8n, but we’ll start with one.

Requirements

  • A Port.io account with AI features enabled
  • Your Client ID and Client Secret (see Port API guide)

Steps

  1. Double-click your Port node.
  2. Under “Credential to connect with”, choose “Create new credential.”
    Create credential
  3. Enter your Port client_id and client_secret, then click Save.
    Save credential

Note: JWT authentication is currently not supported because it’s unsuitable for long-term credential storage. OAuth2 credentials are the recommended method.


🧠 Running the Node

Before execution, ensure:

  • You have a Manual Trigger connected to a Port node
  • Credentials are saved
  • Your Port account has AI features enabled

Then:

  1. Open your AI node and configure the parameters (for example, set a user prompt).
    Parameters

  2. Execute the workflow manually and inspect the node output.
    Result

✅ If successful, you’ll see an AI response from Port ready to be passed to subsequent nodes.


⚙️ API Endpoints Implemented

Note: As of November 2025, only AI prompt endpoints are supported. Contributions for additional API paths are welcome.

| Method | Path | Purpose | Path Params | Body (required) | Optional Params | Notes | Success Response | |---|---|---|---|---|---|---|---| | POST | /v1/agent/:agentIdentifier/invoke | Invoke a specific agent | agentIdentifier | — | context, prompt, labels, provider, model | Providers: openai | azure-openai | anthropic | bedrock | port Models: gpt-5 | claude-sonnet-4-20250514 | JSON agent result | | POST | /v1/ai/invoke | General-purpose AI interaction | — | invocation_identifier, userPrompt, tools | labels, provider, model, systemPrompt, executionMode | Execution mode: Automatic | Approval Required | JSON result | | GET | /v1/ai/invoke/:invocation_identifier | Fetch invocation result | invocation_identifier | — | — | — | { ok: boolean, result: object } |


🤝 Contributing

Contributions are welcome!

  1. Fork the repo
  2. Create a new branch (feat/awesome-thing)
  3. Make your changes
  4. Submit a PR with a clear description of your update

Please include tests and examples when possible.


🪪 License

MIT © Port Labs


📦 Example Usage (code)

// Example: Calling a Port AI node programmatically via n8n API

const axios = require('axios');

const res = await axios.post('https://n8n.local/api/v1/workflows/1/execute', {
  userPrompt: 'Summarize this README for me!',
  provider: 'openai',
  model: 'gpt-5'
});

console.log(res.data);

🏷️ Metadata

| Field | Value | |---|---| | Package name | @port-labs/n8n-nodes-portio-experimental | | Version | 1.0.0-alpha.5 (experimental release) | | Node type | Custom n8n nodes | | Focus | Port AI integrations | | Status | Experimental / early access |