Your marketing data,
queried by AI.
Dashboards show you what you already know to look for. AI agents can explore what you haven't thought to ask. Model Context Protocol (MCP) gives AI agents like Claude and GPT structured, real-time access to your Ingest Labs data — conversions, traffic quality, campaign performance, consent status — without exporting a single CSV.
Ingest Labs MCP servers expose your marketing data as queryable tools and resources. Ask questions in natural language — "Which campaigns had the worst traffic quality this week?" — and get answers from live data, not stale reports or hallucinated guesses.
Why MCP Servers + Ingest Labs
Marketing teams have more data than ever and less time to analyze it. Dashboards help when you know which chart to look at, but the most valuable insights are the ones you didn't think to visualize. AI agents change that equation — they can explore your data conversationally, surface patterns across dimensions, and answer ad-hoc questions without anyone building a report.
Model Context Protocol is the open standard that makes this work. Instead of dumping data into a prompt (lossy, stale, token-expensive), MCP gives the AI agent structured tools to query your systems in real-time. Ingest Labs exposes conversion metrics, traffic quality scores, campaign performance, audience segments, and consent status through MCP servers that any compatible agent can connect to.
The result is an AI-native data access layer for your marketing stack. Your team asks questions in plain English — "Show me conversion trends for paid social this month" or "Which consent policies triggered the most violations last week" — and the AI queries Ingest Labs live, returning precise, sourced answers. No SQL, no export, no waiting for the analyst queue.
Integration resources
Setup guide for connecting your AI agent to Ingest Labs MCP servers, including authentication and available tools.
Contact for setup guide
Model Context Protocol — the open standard for connecting AI agents to external data sources and tools.
Visit MCP specificationMCP specification documentation — server architecture, tool definitions, resource types, and client integration guides.
MCP spec documentationKey benefits
AI-native access to your marketing data — ask questions, get answers, skip the report queue.
- Query conversions, traffic quality, and campaign performance in natural language
- Real-time data access — AI agents query live Ingest Labs data, not stale exports
- Works with Claude, GPT, and any MCP-compatible AI agent or application
- Structured tool responses — precise answers sourced from your data, not hallucinations
- Authenticated and scoped — you control which data each MCP server exposes
- Setup in under 10 minutes — add server URL and credentials to your MCP client config
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.
Ingest Labs MCP Servers integration: Connect AI agents like Claude and GPT to your marketing data via Model Context Protocol. Query conversions, traffic quality, campaign performance, and consent status in natural language. Real-time data access, structured responses, authenticated connections. Setup in under 10 minutes.
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.