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Northbeam MCP. Analyze Attribution & Exports from Your Agent

Northbeam helps you analyze complex marketing attribution data right inside your AI client. Instead of navigating dashboards, ask your agent for metrics like Attributed Revenue or Transactions. You can list available breakdowns (Platform, Campaign), model credit assignment, and initiate programmatic data exports without leaving your workflow.

Northbeam MCP is compatible with Claude Claude
Northbeam MCP is compatible with ChatGPT ChatGPT
Northbeam MCP is compatible with Cursor Cursor
Northbeam MCP is compatible with Gemini Gemini
Northbeam MCP is compatible with Windsurf Windsurf
Northbeam MCP is compatible with VS Code VS Code
Northbeam MCP is compatible with JetBrains JetBrains
Northbeam MCP is compatible with Vercel Vercel
See Vinkius in Action

Give Claude and any AI agent real-world access

Discover Available Metrics and Breakdowns

The agent lists all possible performance metrics (like Attributed Revenue) and the labels used to group data (Platform, Campaign).

Understand Attribution Logic

You can view which attribution models are supported by Northbeam, understanding how credit is assigned across different marketing touchpoints.

Create and Monitor Data Exports

The agent initializes a new data export for specific time ranges or metrics and then tracks the status until you can download the finished file.

Review Account Settings and History

You access high-level account configuration, monitor active webhooks, and view recent export history without logging into the main dashboard.

Waiting for input…

AI Agent
Northbeam

What AI agents can do with Northbeam: 10 Tools for Marketing Attribution

These tools let you manage every aspect of your Northbeam account, from listing core performance metrics to initiating complex, structured data exports.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Northbeam MCP

Get Dashboard Settings

Retrieves the current workspace dashboard configuration settings.

List Breakdowns

Lists all available data grouping labels, such as Platform or Ad Set, for...

List Metrics

Provides a list of performance metrics you can use in your exports, like...

List Attribution Models

Displays the different models used to calculate how credit is assigned across...

List Recent Exports

Shows a list of data exports that have been recently processed and completed.

List Scheduled Exports

Provides visibility into all recurring or future scheduled data export tasks.

List Webhooks

Lists the active webhooks configured for your Northbeam account.

Create Data Export

Initializes a brand new data export job, allowing you to specify metrics and date...

Get Export Status

Checks the current status of an ongoing or finished data export task.

Get Account Info

Retrieves high-level account metadata and configuration details for your Northbeam...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Northbeam MCP is compatible with Claude

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Northbeam integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on each call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Northbeam, then connect any of our 5,200+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,200+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Connections are secured and governed automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog weekly
Northbeam MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Northbeam. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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The endless dance of dashboard clicking and CSV downloading.

Right now, getting a complete picture requires jumping between tabs. You pull the core metrics into one sheet, then open another tab to check which platforms are involved, copy that data over, and finally run a separate query just to confirm what attribution model was used for the last month's spend.

With this MCP, your agent handles all that friction. Instead of clicking, you simply ask: 'What were the transactions broken down by platform using the modeled attribution?' You get the precise answer instantly in plain text.

Northbeam gives you structured data analysis via tools like `list_metrics` and `create_data_export`.

The tedious manual steps—copying a list of available metrics, then having to manually start an export job, and then waiting minutes just to check the status link—all disappear. You tell your agent what you need, and it runs the `create_data_export` tool.

What's different now is control. Your AI client manages the whole process for you, from checking available data breakdowns to providing a direct download URL with minimal human effort.

What Northbeam MCP does for your AI

Connect Northbeam to your AI client, and you get instant access to deep marketing insights. Your agent handles the complexity of attribution reporting through natural conversation. Need to know what performance metrics are available? Just ask; it lists everything from Attributed Revenue to Spend. Want to segment data by channel or campaign? The tool finds all available data breakdowns for you.

You can even tell your agent to start a programmatic export for specific dates, and then track the status until the results are ready for download. This gives you full visibility into everything—from monitoring scheduled exports to pulling high-level account metadata. It’s like having an analyst on call who lives inside your chat window, making complex reports simple.

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Score 100/100
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Frequently asked questions about Northbeam MCP

How do I find out what metrics Northbeam can track? +

You run list_metrics. This tells your agent all the performance numbers available for export, such as Attributed Revenue and Transactions.

Can I check if my scheduled reports are running correctly with Northbeam MCP? +

Yes. Use list_scheduled_exports to see a list of future jobs, and then use get_export_status to verify the status of any recent runs.

What is the difference between running a simple query and using Northbeam MCP? +

A simple query only retrieves data at that moment. Using the MCP allows your agent to initialize complex, programmatic exports using create_data_export for later, structured analysis.

How do I know what segmentation labels are available? +

Run list_breakdowns. This lists all available data groupings like Platform and Ad Set, so you can include them in your report request.