AI needs more than just data—it needs governed, trusted knowledge
As AI becomes the interface between brands and customers, visibility depends on whether AI can understand and trust your content. Without clear context, AI is forced to guess, leading to inaccurate answers and inconsistent representation.
Schema App’s Model Context Protocol (MCP) Server securely connects AI agents and copilots to your Content Knowledge Graph, helping deliver more accurate and trustworthy responses.
Power AI Agents with Trusted Data
Give AI agents, copilots, chatbots, and internal search direct access to the Content Knowledge Graph that powers your SEO and marketing.
More Accurate Responses
Help AI systems deliver more accurate answers by drawing directly from your Content Knowledge Graph instead of relying solely on inference.
Consistent Brand Representation
Help AI systems represent your products, services, and expertise more consistently using structured, compliant data from your website content.
Seamless AI Integration
Connect your Content Knowledge Graph to Claude, DeepChat, Microsoft, OpenAI, Google, and any MCP-enabled tool.
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
Authenticate with your Schema App account to securely connect your Content Knowledge Graph.
Step 3.
Start Chatting
No extra setup or scope configuration required! You can now use your AI agent to interact with your Schema App Content Knowledge Graph, seamlessly integrated into your conversations.
Connect AI Agents to Your Content Knowledge Graph using MCP
Give AI agents, copilots, and chat experiences direct access to your Content Knowledge Graph to support more accurate responses and more consistent brand representation.
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.