risify-mcp-public

MCP server for AI access to Shopify SEO and performance data

risify-mcp-public, developed by Analyzify, is an open-source Model Context Protocol server that exposes the Risify GraphQL API to AI assistants for Shopify SEO and performance inspection. It enables schema exploration and automated generation of valid GraphQL queries and mutations, and surfaces AI visibility metrics for store audits. The project includes deployment scripts and is aimed at developers, Shopify store owners, and SEO specialists using AI-driven coding assistants.

What tasks can you actually use the server for?

The server functions as a specialised bridge between AI agents and Risify's GraphQL API, so it targets tasks that require programmatic access to Shopify SEO data. Typical outcomes include schema exploration, automated query and mutation generation, and agent-driven audits of store structure and schema markup. Concrete entry points supplied by the project include GraphQL schema navigation and direct exposure of store performance and structured-data metrics to the agent.

How reliable are the queries it produces?

Because the server provides direct access to GraphQL schema definitions, it reduces errors in API interaction by enabling agents to generate queries that match the API shape. The project explicitly lists automated query generation and mutation support for Shopify SEO data, which helps avoid malformed requests that typically cause runtime failures when models guess field names or types.

Does it fit into existing developer workflows?

The server is distributed via a public repository and includes scripts and configuration files intended for rapid integration into AI-coding environments. It requires an MCP-compatible host environment such as Claude Desktop or Cursor, so deployment is oriented toward teams that operate MCP clients and manage their own hosting. The included tooling is designed for developer-led integration rather than point-and-click installation.

What should teams know about data handling?

The project connects AI agents to store health, performance, and structured-data metrics, which means agents work directly with site telemetry and SEO output. The public project notes its open-source GitHub distribution but does not document a public data-retention or model-training policy in the overview. Teams processing sensitive store data should plan deployment and review data flows during integration.

Practical choice for integration-focused teams, conditional on deployment review

The server is a practical option for developer teams and SEO specialists that need AI-assisted access to e-commerce schema and performance signals, supported by Analyzify's analytics background and community recognition. Given Analyzify's stated work across analytics and server-side tracking for thousands of Shopify merchants, the tool suits integration-heavy workflows; teams should confirm internal deployment and data handling practices before production use.