Vinkius
Ometria Intelligence

Query your entire customer history via natural conversation.
Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

Ometria Intelligence MCP on Cursor AI Code Editor MCP ClientOmetria Intelligence MCP on Claude Desktop App MCP IntegrationOmetria Intelligence MCP on OpenAI Agents SDK MCP CompatibleOmetria Intelligence MCP on Visual Studio Code MCP Extension ClientOmetria Intelligence MCP on GitHub Copilot AI Agent MCP IntegrationOmetria Intelligence MCP on Google Gemini AI MCP IntegrationOmetria Intelligence MCP on Lovable AI Development MCP ClientOmetria Intelligence MCP on Mistral AI Agents MCP CompatibleOmetria Intelligence MCP on Amazon AWS Bedrock MCP Support

Connect to your AI in seconds.

Ometria Intelligence connects your AI agent directly to your customer data platform. You can query deep insights into contacts, order history, product catalogs, and marketing campaigns using natural language.

Use tools like `list_contacts`, `get_order_details`, or `get_campaign_stats` to pull structured data without leaving your chat interface.

What your AI can do

Get campaign stats

Retrieves current performance metrics for specific marketing campaigns.

Get contact details

Pulls detailed information about a single customer contact using their unique ID.

Get order details

Gets the full metadata and status updates for one specific order.

+ 7 more capabilities included
Analyze Customer Contacts

Pull specific contact information, segment membership, or general lists of users from your Ometria platform.

Track Transaction History

Retrieve detailed records for customer orders and list recent transactions to check status and contents.

Inventory Product Details

List all items in your catalog and get specific metadata, like stock levels or pricing, for any product ID.

Assess Audience Size

Fetch lists of defined audience segments and determine the exact member count for targeted groups.

Measure Campaign Performance

Get real-time engagement statistics for marketing campaigns, including email opens or automation usage.

Compatible AI Apps

OAuth 2.0 Compatible
Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
Vinkius runs on Zendesk Zendesk
+ any other MCP app
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AI Agent

Ometria Intelligence: 10 Tools for E-commerce Data

Use these ten specific tools to query customer details, track transactions, analyze marketing performance, and manage product catalogs directly through your AI agent.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Ometria Intelligence on Vinkius

Get Campaign Stats

Retrieves current performance metrics for specific marketing campaigns.

Get Contact Details

Pulls detailed information about a single customer contact using their unique ID.

Get Order Details

Gets the full metadata and status updates for one specific order.

Get Product Details

Fetches comprehensive details, including stock info, for a single product in the...

Get Segment Details

Retrieves detailed membership information and criteria for a specific audience...

List Marketing Campaigns

Lists all current and past marketing campaigns run through the platform.

List Contacts

Provides a list of contacts defined within the Ometria platform.

List Orders

Retrieves a list of recent customer orders across the entire system.

List Catalog Products

Lists all products available in your entire e-commerce catalog.

List Customer Segments

Generates a complete list of audience segments defined for marketing use.

Connect to your AI in seconds. Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Ometria Intelligence integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

  • Import from OpenAPI, Swagger, or YAML specs
  • Create Agent Skills with progressive disclosure
  • Deploy to edge with MCPFusion framework
  • Built in DLP, auth, and compliance on every call
  • Real time usage dashboard and cost metering
  • Publish to catalog or keep private
Start building

Make Your AI Do More

Start with Ometria Intelligence, then connect any of our 5,000+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,000+ others, all in one place
  • Add new capabilities to your AI anytime you want
  • Every connection is secured and compliant automatically
  • Track usage and costs across all your servers
  • Works with Claude, ChatGPT, Cursor, and more
  • New servers added to the catalog every week
Ometria Intelligence MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Ometria. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 10 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Manual reporting means jumping across five different tabs, every single time.

Right now, checking customer history is a headache. You have to open the Orders tab, find the ID, then jump to the Contacts section for names, and finally go to Campaigns just to see if they received an email. It's slow, and you lose context every time you copy-paste data.

With Ometria Intelligence MCP Server, your agent handles that complexity. You ask it: 'Give me details on orders and contacts related to the last campaign.' The server runs `list_orders`, pulls associated contact info via `get_contact_details`, and summarizes everything for you. It’s all in one chat window.

Ometria Intelligence MCP Server: Get campaign performance stats

Before, getting a full picture of marketing effort meant exporting CSVs from the Campaign tab, cross-referencing them with Segment metrics in another spreadsheet. It took hours just to compile a single report.

Now you run `list_marketing_campaigns`, and then call `get_campaign_stats`. The server handles the data retrieval and returns clean, ready-to-use statistics immediately. You get the full picture without touching a spreadsheet.

What your AI can actually do with this

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.

Built · Hosted · Managed by Vinkius Ometria Intelligence MCP Server - Customer Data & Orders
Server ID 019d75e4-7f33-738d-ac3c-a5451a05e210
Vinkius Inspector
Compliance Grade A+
Score 100/100
Vinkius Inspector Badge — Score 100/100

Questions you might have

How do I use list_contacts to find customer details? +

You first run list_contacts to get a list of IDs or names. Then, you pass a specific ID to get_contact_details to pull the full profile and segment information for that single person.

Can I use get_order_details to check product stock? +

No, not directly. get_order_details gives transaction history and item SKUs. To check current stock levels, you must pass the SKU from the order details into get_product_details.

What is the difference between list_orders and get_order_details? +

list_orders shows a summary of recent orders (IDs, dates). Use it to find an ID. Then you pass that specific ID to get_order_details to see everything: items, status updates, etc.

Do I need list_customer_segments before checking segment size? +

Yes. You must first call list_customer_segments to get the name or ID of the target segment. Then you pass that identifier into get_segment_details to retrieve the count and members.

When I use get_contact_details, what authentication method is required? +

You must provide a valid Ometria API Key in the request header. The system validates this key to ensure your agent has access. If the token expires or the scope is wrong, you'll receive an explicit 401 Unauthorized error.

What happens if I try to run get_segment_details too many times in a row? +

The server enforces rate limits to protect your account. If you exceed the allowed calls per minute, subsequent requests will fail with a 429 Too Many Requests error. You'll need to pause and retry later.

When listing products using list_catalog_products, can I filter by specific attributes? +

Yes, you pass filters directly in the query parameters. For instance, you can request items only belonging to a certain category ID or those marked 'Active'. This keeps your results tight.

If the Order ID I provide to get_order_details doesn't exist, how should I handle it? +

The tool returns a clear error message stating that no records match the provided ID. The JSON response will typically include an 'Error: Not Found' payload, letting your agent know immediately.

How do I get an Ometria API Key? +

You can generate an API key in the Ometria settings dashboard under the API tab. This key should be used for the X-Ometria-Auth header.

Can I see customer lifetime value (LTV)? +

Yes! Use the get_contact_details tool with a specific contact ID to retrieve their full profile, which includes segment associations and calculated lifetime metrics.

Does this support real-time campaign stats? +

Yes, the get_campaign_stats tool retrieves current engagement metrics directly from Ometria for any specific campaign ID.

Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Ometria Intelligence. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

Vinkius runs on Claude Claude
Vinkius runs on ChatGPT ChatGPT
Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
Vinkius runs on Windsurf Windsurf
Vinkius runs on VS Code VS Code
Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
+ other MCP clients

Vinkius gives your AI agents access to the full catalog of app connectors, all fully managed, secure, and enterprise-ready. One subscription, every tool you need.

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