MCP
Your marketing data,
ready for AI agents
Connect Claude, Cursor, and any MCP client to live Ingest Labs data — ask in plain English, get precise answers from conversions, traffic quality, and campaigns.
From marketing sources to answers in your LLM
Trusted first-party data flows through Ingest Labs into Model Context Protocol — so Claude, Cursor, and other agents query live metrics, not stale exports.
Sources
Meta Ads
Google Ads
Shopify
GA4
Paid media · ecommerce · analytics · journeys
Ingest Labs data layer
Trustworthy first-party data foundation
- Collect (Ingest IQ)
- Identity (Ingest ID)
- Unify & attribute (Event IQ)
- Traffic quality (Ad Shield)
- Govern & activate
Collect · validate · connect · govern · activate
Ask in your LLM
Claude
Cursor
ChatGPT
Gemini
Coming soon
Other MCP clients
Same portal login · same permissions · no invented metrics
Works with any MCP-compatible client
Claude Desktop
Cursor
ChatGPT
Gemini
Custom MCP client
Frequently Asked Questions
What is Model Context Protocol (MCP)?
MCP is an open standard that lets AI agents — like Claude, GPT, or custom LLM applications — connect to external data sources and tools. Instead of copying data into prompts, MCP gives the AI structured, real-time access to your systems. Ingest Labs exposes its data through MCP servers that any compatible client can connect to.
Which AI agents work with Ingest Labs MCP servers?
Any MCP-compatible client works — including Anthropic's Claude (via Claude Desktop or Claude Code), OpenAI-based agents, and custom applications built on the MCP specification. If your AI tool supports MCP, it can query Ingest Labs data.
What data can an AI agent access through MCP?
Agents can query conversion metrics, traffic quality scores, campaign performance, audience segments, consent status, and pipeline health. The data is exposed through structured tools and resources, so the AI returns precise answers — not hallucinated guesses.
Is my data safe when accessed via MCP?
Yes. MCP connections are authenticated and scoped. You control which data sources and tools each MCP server exposes, and access requires valid credentials. Data is never stored by the AI agent — it's queried in real-time and returned within the conversation context.
How is this different from exporting data to a CSV or dashboard?
Dashboards and CSVs are static snapshots that require you to know which question to ask before you look. MCP lets you ask questions in natural language — 'Which campaigns had the highest traffic quality drop this week?' — and get answers from live data without building a report or writing a query.
How do I set up MCP servers for Ingest Labs?
Ingest Labs provides pre-configured MCP server endpoints. You add the server URL and authentication credentials to your MCP client's configuration file. Most setups take under 10 minutes. Contact our team for your MCP server credentials and setup guide.
Let your AI agents query your marketing data in real-time.
Natural language access to conversions, traffic quality, and campaign insights — via Model Context Protocol.