AI-native AdTech

Your platform should be understandable by people—and operable by AI clients.

Nexus includes a real Model Context Protocol layer, giving compatible AI clients a structured, governed way to understand products, inspect capabilities and assist with solution design.

Explore MCP tools ↓
NEXUS MCP SERVERSTREAMABLE HTTP
POST /mcp

→ initialize
← capabilities: tools, resources, prompts

→ tools/list
← get_nexus_overview
← get_product_capabilities
← get_ad_format_guide
← get_operating_capabilities
← recommend_deployment
← get_security_model
MCP endpoint ready

A new interface to AdTech

Not another chatbot bolted onto a dashboard.

The assistant and MCP server use the same curated Nexus product model. The website helps buyers understand the platform; MCP lets AI clients discover that knowledge through typed tools and resources instead of scraping pages.

01get_nexus_overview

Discover the platform, AdTech engineering heritage, revenue engines and AI-native operating model.

02get_product_capabilities

Inspect typed capabilities for Search, feeds, OpenRTB, video or CPA.

03get_ad_format_guide

Explain what an ad looks like, where it appears, how it is bought, targeted, delivered and measured.

04get_operating_capabilities

Research traffic quality, feed and bid policy, partner operations, direct campaigns, contextual monetization and custom engineering.

05recommend_deployment

Map a business model and channel mix to a phased Nexus deployment.

06get_security_model

Understand authentication, authorization and infrastructure boundaries.

How AI clients connect

A governed path from question to platform context.

01Discover

The AI client connects to the Nexus Streamable HTTP endpoint and negotiates MCP capabilities.

02Inspect

It lists typed tools, reads the product catalog resource and can use the solution-discovery prompt.

03Reason

The client combines verified Nexus context with the customer’s business question.

04Act safely

Public tools are read-only. Privileged operational tools can later be added behind scoped authentication and approval.

Open by design

One protocol. Multiple AI experiences.

OpenAI Responses APICodex-compatible workflowsClaude-compatible MCP clientsCustom agents and copilotsIDE and desktop AI clientsInternal automation systems

AI-ready from day one

Give your team—and its AI clients—a direct path to platform knowledge.

Design an MCP-enabled deployment ↗