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.
Give Claude and any AI agent real-world access
The agent lists all possible performance metrics (like Attributed Revenue) and the labels used to group data (Platform, Campaign).
You can view which attribution models are supported by Northbeam, understanding how credit is assigned across different marketing touchpoints.
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.
You access high-level account configuration, monitor active webhooks, and view recent export history without logging into the main dashboard.
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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 MCPGet 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.
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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
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- Built in DLP, auth, and compliance on each call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
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
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- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog weekly
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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.
019d75df-59f6-7025-88c6-277f8354b00d How to set up Northbeam MCP
The bottom line is, you get to treat complex attribution reports like simple chat commands instead of clicking through multiple dashboard tabs.
Connect your Northbeam API Key and Data Client ID to your AI client.
Ask your agent what data you need; it lists available metrics, breakdowns, or models.
Instruct the agent to create a data export. It monitors the status until you receive the final download URL.
Who uses Northbeam MCP
Marketing Managers and Data Analysts who are tired of copy-pasting data between dashboards or waiting for manual CSV exports. This MCP lets you run deep, multi-step reports instantly from your agent.
You use this to automate the retrieval of complex attribution metrics—like combining spend data with platform breakdowns—for advanced modeling that would take hours in a GUI.
You check export statuses and list available performance metrics quickly, getting immediate answers without having to open the full Northbeam dashboard.
You monitor scheduled reports and verify data synchronization in real time by checking recent export history directly through your agent.
Benefits of connecting Northbeam MCP
Get instant visibility into available data breakdowns. Use the list_breakdowns tool to see every label, like Campaign or Ad Set, that can segment your reports.
Stop guessing about metrics. The list_metrics tool provides a comprehensive list of all performance numbers—Attributed Revenue, Transactions, Spend—you can analyze.
You never have to manually set up an export again. Use create_data_export and then check the status with get_export_status until you get your download link.
Know exactly how credit is assigned using list_attribution_models, eliminating guesswork about which marketing touchpoint gets the credit.
Stay organized by monitoring recurring tasks. Use list_scheduled_exports to confirm that your critical monthly reports are set up and running automatically.
Northbeam MCP use cases
Checking immediate data needs
A Marketing Manager needs to quickly check if a new metric, like 'ROAS,' is available before building a report. They simply ask their agent, and the tool runs list_metrics, giving them an immediate yes/no answer without opening a dashboard.
Auditing data flow
A Growth Team Lead suspects a webhook might be failing. Instead of diving into complex settings, they ask their agent to run list_webhooks and review the recent export history using list_recent_exports, pinpointing the issue in seconds.
Preparing for deep analysis
A Data Analyst needs data segmented by both Platform and Campaign. They use list_breakdowns to confirm those labels exist, then use that knowledge when running create_data_export to ensure the final dataset is perfectly structured.
Verifying account health
A team member needs to know if the account has been properly configured for data access. They run get_account_info via their agent, getting a clean summary of metadata without needing API credentials or dashboard navigation.
Northbeam MCP tradeoffs
What to watch out for, and the recommended way to handle each one.
Trying to guess metrics
A user tries to ask the agent for 'My best revenue data' and gets an unhelpful error because they don't know the exact metric name.
Instead, use list_metrics first. This lists every available performance number (like Attributed Revenue) so you can use the correct term when telling your agent what to export.
Ignoring export status
A user runs a large data export and walks away, assuming it finished by lunchtime, only to find nothing has downloaded.
Always use create_data_export followed immediately by get_export_status. This confirms the job is running or finished before you assume success.
Bypassing breakdowns
A user exports raw data without specifying how it should be grouped, resulting in a massive, unreadable file.
Before exporting, run list_breakdowns. This shows you the available grouping labels (Platform, Campaign) so you can include them in your export request.
When to use Northbeam MCP
Use this MCP if your primary need is to generate structured marketing reports and analyze attribution data without opening a web dashboard. Specifically, if you need to list metrics (list_metrics), monitor exports (get_export_status), or confirm available segment labels (list_breakdowns). Don't use it if you need general account configuration changes (use get_dashboard_settings only for reading status) or if your data is not sourced from Northbeam. If your goal is purely visualization without needing the underlying structured data, a dedicated BI tool might be better; but when raw, structured attribution numbers are required, this MCP delivers.
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.