Ometria Intelligence MCP. Query your entire customer history via natural conversation.

Connect your AI agent straight into Ometria's customer data platform. You don't have to jump back and forth; you just tell your agent what you need, and it pulls structured, actionable data from your system right in the chat window.

When you use this server, you’re talking directly to your core business intelligence. It lets you analyze contacts, track specific orders, check product inventory, narrow down audience groups, and measure campaign performance—all using natural language prompts.

Analyzing Customer Contacts

You can start by pulling a full list of every contact defined in Ometria using list_contacts. If you know the unique ID for one user, you use get_contact_details to pull their entire profile. This gives you deep insight into everything attached to that single customer record.

For marketing targeting, you can generate a complete list of all audience segments with list_customer_segments. Once you have a segment's ID, the tool get_segment_details pulls detailed membership criteria and tells you exactly how many people are in that group. You're always checking who belongs to which target pool.

Tracking Transactions and Orders

You need to know what’s happening with your sales funnel? First, run list_orders to get a list of recent customer transactions across the entire system. If you want deep background on one specific sale, use get_order_details. This pulls all metadata for that order, including its current status and contents.

Checking Product Inventory Details

The tools let you manage your product side without leaving the agent interface. You can get a list of every single item available in your e-commerce catalog using list_catalog_products. To check specific details—like stock levels, pricing, or weights—for any given ID, use get_product_details.

Running Marketing Campaign Reports

To measure marketing efforts, you start by listing everything. You can pull a list of all current and past campaigns run through the platform via list_marketing_campaigns. When you need hard numbers on performance metrics—like open rates or automation usage for specific campaigns—you use get_campaign_stats to retrieve that real-time data.

How It Works Under the Hood

The process is simple: your agent figures out what tool it needs based on your prompt. If you ask, 'What are the details for order XYZ and who lives in segment ABC?', the server executes get_order_details and get_segment_details sequentially. It then packages all that structured data up and sends it back to your agent.

You get clean JSON objects—no messy CSVs, no manual exports—just pure data ready for immediate analysis by your AI client.