Schema App Model Context Protocol (MCP) Server
In Beta
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 provides your organization with a universal, standardized way to securely expose your Content Knowledge Graph to supporting AI agents and copilots, delivering accurate, 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.
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.