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Schema App Model Context Protocol (MCP) Server

In Beta

Turn your Schema App Knowledge Graph into an AI-ready data source using MCP

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AI needs more than just data—it needs governed, trusted knowledge

Enterprise teams want AI to deliver accurate, brand-aligned answers. But without a reliable, structured data layer, the Large Language Models (LLMs) are at risk of hallucinations and brand misrepresentations.

Schema App’s Model Context Protocol (MCP) Server offers your organization a universal, standardized solution for securely exposing your Content Knowledge Graph to AI agents and copilots, ensuring the delivery of accurate and trusted answers.

AI-Ready Data Source

Power AI agents, copilots, chatbots, and internal search with the same Content Knowledge Graph that drives your SEO and marketing.

Higher Accuracy and Speed

LLMs deliver precise answers faster by drawing directly from your Content Knowledge Graph.

Seamless AI Integration

Works out-of-the-box with Claude, DeepChat, Microsoft, OpenAI, Google, and any MCP-enabled tool.

Consistent, On-Brand Outputs

Every response is grounded in structured, compliant data from your website content.

How Schema App’s MCP Server Works

Step 1.
Connect to Schema App’s MCP Endpoint

Choose your preferred MCP-enabled client, such as Claude Desktop or DeepChat, and add Schema App’s MCP endpoint: https://mcp.schemaapp.com/mcp

Step 2.
Sign in with Your Schema App Account

Your application will automatically prompt you to sign into your Schema App account. Once authenticated, you’re securely connected.

Step 3.
Start Chatting

No extra setup or scope configuration required! You can now use your AI assistant to interact with your Schema App data, seamlessly integrated into your conversations.

Maximize your Content Knowledge Graph using our MCP Server

The Schema App MCP server is currently in beta. Get in touch with your customer success manager to learn more.

Get Started

Frequently Asked Questions

To use the Schema App MCP Server, you must have the following:

  • Schema App Content Knowledge Graph (and/or robust site Schema Markup)
  • An MCP-compatible client or other AI Toolkits from Microsoft, OpenAI or Google.
  • For corporate integrations, setup is straightforward but requires an IT administrator with elevated permissions

Unlike Retrieval-Augmented Generation (RAG), which can return imprecise or incomplete results, Model Context Protocol (MCP) ensures precision, traceability, and compliance by serving structured knowledge directly.

Yes. Model Context Protocol (MCP) is a standards-based protocol designed for secure, governed data exchange. Your content knowledge graph remains fully under your control.

Not at this time. While both our MCP service and NLWeb use MCP technology, they’re built to serve different purposes. Our MCP server is designed to connect with a customer’s own LLM and chat interface technologies, while NLWeb provides both the chat client and the server within its own application. Because of this difference, our MCP service is not integrated into NLWeb, and we haven’t tested swapping it in.

If your team is interested in exploring NLWeb but isn’t able to set up or manage an MCP client in your systems, we can host NLWeb for you as a paid service.

No, Schema App’s Model Context Protocol (MCP) server does not improve AEO or GEO. Instead, MCP enables integrations with AI-powered chatbot experiences. It allows your organization to connect your Content Knowledge Graph to your own owned and operated chatbot platforms.

Our MCP server is not designed to optimize how your content appears in search engines’ AI overviews or generative results. Its role is to make your knowledge graph accessible within controlled chatbot contexts, ensuring consistency and accuracy in its answers.