Advertise
MCP.so
Sign In

DevHub CMS MCP Server

@devhub

Repository

Basic information

Category

Other

Transports

stdio

Author

devhub

Submitted by

Daniel Rust

About DevHub CMS MCP Server

DevHub CMS LLM integration through the Model Context Protocol

DevHub CMS MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "devhub-cms-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@devhub/devhub-cms-mcp",
        "--client",
        "claude"
      ]
    }
  }
}

DevHub CMS MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is DevHub CMS MCP?

DevHub CMS MCP is a Model Context Protocol (MCP) integration for managing content in the DevHub CMS system. It allows large language models (LLMs) to create, read, update, and delete content—such as blog posts and business locations—without requiring direct API access integrated into the LLM natively.

How to use DevHub CMS MCP?

Install the uv package manager, then configure the MCP in your LLM client (e.g., Claude Desktop, Cursor, or Claude Code). You must set three environment variables: DEVHUB_API_KEY, DEVHUB_API_SECRET, and DEVHUB_BASE_URL. For Claude Desktop, add the devhub_cms_mcp entry to the mcpServers section of your claude_desktop_config.json using the command uvx devhub-cms-mcp. Alternatively, install automatically via Smithery or run locally with uv run main.py.

Key features of DevHub CMS MCP

  • Retrieve all businesses and their locations.
  • Get and update hours of operation for a location.
  • Find the nearest location by geographic coordinates.
  • Create, read, and update blog posts.
  • Upload images (webp, jpeg, png) to the media gallery.

Use cases of DevHub CMS MCP

  • An LLM-powered assistant can update store hours for all locations in a chain.
  • A content manager can draft and publish blog posts through a chat interface.
  • A customer‑support bot can find the nearest store given a user’s coordinates.
  • A marketer can upload new images to the DevHub media gallery without leaving the conversation.

Frequently asked questions

1

What are the prerequisites for using this server?

You need the `uv` package manager installed on your system, and valid DevHub API credentials (`DEVHUB_API_KEY`, `DEVHUB_API_SECRET`, and `DEVHUB_BASE_URL`).

2

How do I configure DevHub CMS MCP for Claude Desktop?

Add the server configuration to the `mcpServers` section of your `claude_desktop_config.json` with the command `uvx devhub-cms-mcp` and the required environment variables. Restart Claude Desktop after updating the config.

3

Which LLM clients are supported?

The README shows configurations for Claude Desktop, Cursor, and Claude Code. It can also be installed via Smithery for Claude Desktop.

4

What environment variables are required?

`DEVHUB_API_KEY`, `DEVHUB_API_SECRET`, and `DEVHUB_BASE_URL` must all be set. The base URL should point to your brand's DevHub CMS frontend (e.g., `https://yourbrand.cloudfrontend.net`).

5

How can I run the tests included with this server?

Install test dependencies with `uv pip install -e ".[test]"`, then run `uv run pytest`. For coverage, use `uv run pytest -v --cov=devhub_cms_mcp`. The tests use mocked API requests.

Comments

More Other MCP servers

Screenpipe

screenpipe

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

22.0K

Hindsight

vectorize-io

Hindsight: Agent Memory That Learns

50.4K

Codelf

unbug

A search tool helps dev to solve the naming things problem.

14.2K

Maestro

mobile-dev-inc

Painless E2E Automation for Mobile and Web

14.8K
P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Advertise