intrascope

n8n community node for Intrascope – AI model gateway (chat, models, usage)

Package Information

Downloads: 2 weekly / 24 monthly
Latest Version: 0.1.0
Author: Intrascope

Documentation

Intrascope node for n8n

The Intrascope node lets you send requests to AI models (OpenAI, Claude, DeepSeek, Gemini, Grok) from your n8n workflows through a single Intrascope account – without adding separate credentials for each provider in n8n.

This package adds an Intrascope node to n8n that you can use to chat with LLMs: provide instructions and data, choose vendor and model, and get responses back into your workflow.


How to install the node in n8n

  1. In n8n, open Settings (gear icon) → Community Nodes.
  2. Click Install.
  3. Enter the package name: n8n-nodes-intrascope.
  4. Confirm. n8n will download and load the node.
  5. After installation, you’ll find Intrascope in the node list (e.g. under Transform or via search).

If you use n8n in Docker or self-hosted, your administrator must install the community node; ask them for instructions.


Connecting to your Intrascope account

To use the node you need an Integration API key from the Intrascope platform.

1. Create an API key in Intrascope

  1. Log in to Intrascope
  2. Go to Integrations.
  3. Click Create Key.
  4. Enter a name (e.g. “n8n production”) and confirm.
  5. Copy the key – it starts with isk_... and is shown only once. Store it somewhere safe.

2. Add credentials in n8n

  1. In a workflow, add an Intrascope node (search for “Intrascope”).
  2. In the node, click Create New Credential.
  3. Paste your key into API Key (isk_...).
  4. Click Test to verify the connection – you should see a success message.
  5. Save the credential (e.g. name it “Intrascope – production”).

You can reuse the same credential in all Intrascope nodes in n8n.


How to use the node

The Intrascope node has two operations:

Prompt (recommended for most use cases)

  • Instructions – Tell the AI what to do: how to process the input and what kind of response you want (e.g. “Summarize the text in 2 sentences” or “Extract names and numbers as JSON”).
  • Input Data – The data sent to the AI. By default this is the output from the previous node ({{ $json }}), but you can enter any JSON or text.

The node builds the messages (system + user) and sends them to the selected model. Choose Vendor (e.g. OpenAI, Anthropic) and Model (e.g. GPT-4, Claude) from the dropdowns – the lists are loaded from your Intrascope account.

Send Message (advanced)

Use this when you want to define the full message array (system, user, assistant) yourself in JSON, for example:

[
  {
    "role": "system",
    "content": "You are an assistant that replies in English."
  },
  { "role": "user", "content": "Hello!" }
]

Useful for more complex conversations or when you already have a conversation context.


Node options

  • Vendor and Model – Select the AI provider and model (only what you have configured in Intrascope is available).
  • Response Only – When on (default), the output is just the response text (content); when off, you get the full API response (tokens, cost, etc.).
  • Additional Options – Optional: Max Tokens, Temperature, Project ID, Manifest ID (if you use Intrascope projects/manifests).

Help and documentation

  • For issues with this node in n8n, open an issue in the package repository or contact Intrascope ( support@intrascope.app ).

This node is a community package for n8n. License: MIT.

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