Bring Marketing Attribution
to LangChain
Learn how to connect Northbeam to LangChain and start using 10 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
GDPR Free for Subscribers
What is the Northbeam MCP Server?
Connect your Northbeam account to your AI agent and gain deep insights into your marketing performance and attribution data through natural conversation.
What you can do
- Metric Discovery — List all available performance metrics such as Attributed Revenue, Transactions, and Spend.
- Data Breakdowns — Access the labels used to group your data, including Platform, Campaign, Ad Set, and more.
- Attribution Modeling — View supported attribution models to understand how credit is assigned across touchpoints.
- Programmatic Exports — Initialize new data exports for specific date ranges and sets of metrics.
- Export Monitoring — Track the status of your active data exports and retrieve direct download URLs for results.
- Workspace Oversight — Monitor active webhooks, scheduled recurring exports, and recent export history.
- Account Insights — Access high-level configuration, dashboard settings, and authenticated account metadata.
How it works
1. Subscribe to this server
2. Enter your Northbeam API Key and Data Client ID
3. Start analyzing your marketing attribution from Claude, Cursor, or any MCP client
Who is this for?
- Marketing Managers — quickly check available metrics or export statuses without opening the Northbeam dashboard.
- Data Analysts — automate the retrieval of complex attribution data for deeper reporting and modeling.
- Growth Teams — monitor recently completed exports and verify data synchronization in real-time.
Built-in capabilities (10)
Initialize a new data export
Get account metadata
Get workspace dashboard settings
Check data export status
g., Clicks only, Modeled). List supported attribution models
g., Platform, Campaign, Ad Set) in attribution reports. List available data breakdowns
g., Attributed Revenue, Transactions, Spend) available for export. List available attribution metrics
List recently completed exports
List scheduled data exports
List active webhooks
Why LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Northbeam through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Northbeam MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Northbeam queries for multi-turn workflows
Northbeam in LangChain
Northbeam and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Northbeam to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Northbeam in LangChain
The Northbeam MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 10 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Northbeam for LangChain
Every tool call from LangChain to the Northbeam MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Where do I find my Northbeam API credentials?
Log in to your Northbeam Dashboard, navigate to Settings > API Keys. You will find both your API Key and your Data-Client-ID (UUID) there.
Can I download data directly through the agent?
Yes! The get_export_status tool will provide a direct download URL once the export status is marked as 'SUCCESS'.
How do I know which metrics I can export?
Use the list_metrics and list_breakdowns tools to see all valid parameters available for your account before creating a new data export.
How does LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters