DevHub CMS MCP

DevHub CMS MCP is a Model Context Protocol server that bridges AI assistants with the DevHub Content Management System, enabling developers to manage business listings, locations, and operational details directly from their AI workflow. By exposing a suite of well‑structured tools, it eliminates the need to switch between IDEs and web dashboards, allowing developers to query and update content in real time while writing code or drafting documentation.

The server solves the common pain point of manual data entry and synchronization across multiple channels. In a typical DevHub setup, businesses maintain thousands of location records, each with its own hours, URLs, and contact information. Updating these entries through the web UI is tedious and error‑prone. DevHub CMS MCP automates this process by providing declarative functions such as , , and . Developers can ask an AI assistant to retrieve a list of all business units, drill down into a specific location’s details, or push new operating hours—all within the same conversational context.

Key capabilities include:

• Comprehensive data retrieval – fetch all businesses or drill into location‑specific information with a single function call.
• Structured time management – obtain or modify hours of operation using clear, type‑annotated parameters.
• Environment‑aware configuration – secure API credentials are passed via environment variables, ensuring sensitive data never appears in the code or logs.
• Cross‑platform compatibility – the MCP can be integrated with Claude Desktop, Cursor, or Claude Code, making it versatile across development environments.

Real‑world use cases span from automated marketing campaigns that need up‑to‑date location data, to infrastructure tools that validate business addresses before deployment. For instance, a CI/CD pipeline could trigger the MCP to verify that all store locations are marked as open during holiday seasons, or an AI‑powered chatbot could answer customer queries about nearby store hours by calling .

Integration into AI workflows is seamless: once the MCP is registered in an assistant’s configuration, the tools become available as first‑class actions. The AI can reason about a user’s intent, select the appropriate tool, and present results in natural language—all while preserving context across multiple turns. This tight coupling reduces cognitive load, speeds up development cycles, and ensures that content stays consistent across all touchpoints.

What sets DevHub CMS MCP apart is its focus on business and location management within a single, well‑documented API surface. By providing both read and write capabilities in a predictable, type‑safe interface, it empowers developers to automate routine content updates, maintain data integrity, and leverage AI assistance for smarter, faster operations.