MCP Server

AI marketing attribution software for Claude, ChatGPT, and Cursor

SourceLoop's MCP server connects your lead source, conversions, and revenue data to any AI agent. Ask about attribution in plain English, right inside Claude, ChatGPT, or Cursor. No SQL, no exports, no code.

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Free with any SourceLoop plan.

Which channels drove the most leads this quarter, and how do they compare to last quarter?

Calling sourceloop.break_down_performance 0.4s

Q1 brought in 1,842 new leads, led by Google Ads at 612. ChatGPT Ads improved the most quarter over quarter, up 38%, on the back of two new campaigns. Here is the breakdown:

Leads by channel · Q1 2026 SourceLoop · last_touch

Google Ads612

Meta Ads438

ChatGPT Ads357

LinkedIn271

Organic search164

Want me to save this as a report and share the link with your team?

Where did our top 5 customers come from?

SourceLoop Claude Sonnet 4.6

Used by 750+ marketing teams, agencies, and SaaS companies

SourceLoop MCP use cases

Ask anything about your attribution. Get a real answer.

SourceLoop's MCP server exposes the same live data your dashboard runs on. Every chart and every number an agent returns is traceable back to source, never a guess.

Reporting

Build any report in one message, no SQL, no exports.

Content

See which content drives pipeline, ranked by revenue, not traffic.

Alerts

Set up an alert by asking, delivered to Slack or email.

Shared reports

Save any answer as a report, and share a live link.

Metrics

Track any metric over time, conversion rate, CAC, or pipeline.

Compatible clients

Works with the AI tools you already use

SourceLoop's MCP server speaks the open standard, so any agent or LLM that supports MCP can query your attribution data, no custom integration required.

Claude
ChatGPT
Cursor
Windsurf
Zed
Perplexity

And any MCP-compatible agent via JSON-RPC over stdio or SSE.

FAQ

MCP server, frequently asked

What is MCP, and why does SourceLoop support it?

Model Context Protocol (MCP) is an open standard, originally developed by Anthropic, for connecting AI agents to live tools and data. Any MCP-compatible agent (Claude, ChatGPT, Cursor, Windsurf, and more) can call into SourceLoop the same way they call any other MCP server. We support it because the moment your team starts using AI agents to think about marketing performance, the agents need real attribution data, not stale screenshots or exports.

Which AI tools does this work with?

Claude, ChatGPT, Cursor, Windsurf, Zed, and any other client that supports remote MCP servers, plus your own agents built with LangChain or LlamaIndex.

What can agents actually query?

The same data your reports run on: leads, deals, and revenue by channel, campaign, ad, and landing page, next to ad spend; funnels and conversion paths; contacts, companies, and their journeys; lifetime value and products; and a data health check. Same numbers, same filters, as the app.

Is this safe? Can the agent leak data?

You sign in with OAuth or use a scoped API key, and choose what the agent may read or change. Write access is never on by default. Revoke any key or connection in one click.

Can the agent make changes, not just read?

Yes, only if you grant write access. It can create and edit reports, share a report link, set up Slack and email alerts, and update a contact or company. It can't change your ad accounts or your budget.

Which plans include MCP?

Professional and Agency. Every trial can try it.

How do I set it up?

Add SourceLoop as a connector in Claude or ChatGPT and sign in, or paste an API key into your Cursor MCP config. Most teams are live in under five minutes. No SDK install, no code.