DevHub CMS▌
by devhub
Easily manage blog posts, business hours, and content with DevHub CMS, a powerful content management software for your n
Manage and utilize content within DevHub CMS (blog posts, hours of operation and other content).
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Content managers updating website information
- / Automating blog post creation and editing
- / Maintaining business operational details
capabilities
- / Read blog posts and articles
- / Create new content entries
- / Update business hours and operational info
- / Manage CMS content types
- / Query existing content library
what it does
Connects to DevHub CMS to manage website content like blog posts and business information. Allows you to read, create, and update CMS content directly from your AI assistant.
about
DevHub CMS is an official MCP server published by devhub that provides AI assistants with tools and capabilities via the Model Context Protocol. Easily manage blog posts, business hours, and content with DevHub CMS, a powerful content management software for your n It is categorized under productivity.
how to install
You can install DevHub CMS in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
DevHub CMS is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
DevHub CMS MCP
A Model Context Protocol (MCP) integration for managing content in the DevHub CMS system.
Installation
You will need the uv package manager installed on your local system.
Manual configuration of Claude Desktop
To use this server with the Claude Desktop app, add the following configuration to the "mcpServers" section of your claude_desktop_config.json:
{
"mcpServers": {
"devhub_cms_mcp": {
"command": "uvx",
"args": [
"devhub-cms-mcp"
],
"env": {
"DEVHUB_API_KEY": "YOUR_KEY_HERE",
"DEVHUB_API_SECRET": "YOUR_SECRET_HERE",
"DEVHUB_BASE_URL": "https://yourbrand.cloudfrontend.net"
}
}
}
}
After updating the config, restart Claude Desktop.
Manual configuration for Cursor
This MCP can also be used in cursor with a similar configuration from above added to your Cursor global environment or to individual projects.
Examples here
Installing via Claude Code
Claude Code's command line supports MCP installs.
You can add the devhub-cms-mcp by updating the environment variables below
claude mcp add devhub-cms-mcp \
-e DEVHUB_API_KEY=YOUR_KEY_HERE \
-e DEVHUB_API_SECRET=YOUR_SECRET_HERE \
-e DEVHUB_BASE_URL=https://yourbrand.cloudfrontend.net \
-- uvx devhub-cms-mcp
Installing via Smithery
To install DevHub CMS MCP for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @devhub/devhub-cms-mcp --client claude
Local development
Clone the repo (or your fork)
git clone [email protected]:devhub/devhub-cms-mcp.git
Manual configuration of Claude Desktop
To use this server with the Claude Desktop app for local development, add the following configuration to the "mcpServers" section of your claude_desktop_config.json:
{
"mcpServers": {
"devhub_cms_mcp": {
"command": "uv",
"args": [
"--directory",
"/YOUR/LOCAL/PATH/devhub-cms-mcp/",
"run",
"main.py"
],
"env": {
"DEVHUB_API_KEY": "YOUR_KEY_HERE",
"DEVHUB_API_SECRET": "YOUR_SECRET_HERE",
"DEVHUB_BASE_URL": "https://yourbrand.cloudfrontend.net"
}
}
}
}
After updating the config, restart Claude Desktop.
Configuration for running with uv directly
This MCP requires the following environment variables to be set:
export DEVHUB_API_KEY="your_api_key"
export DEVHUB_API_SECRET="your_api_secret"
export DEVHUB_BASE_URL="https://yourbrand.cloudfrontend.net"
Then run the MCP
uv run main.py
Available Tools
This MCP provides the following tools for interacting with DevHub CMS:
Business and Location Management
- get_businesses(): Gets all businesses within the DevHub account. Returns a list of businesses with their IDs and names.
- get_locations(business_id): Gets all locations for a specific business. Returns detailed location information including address, coordinates, and URLs.
- get_hours_of_operation(location_id, hours_type='primary'): Gets the hours of operation for a specific DevHub location. Returns a structured list of time ranges for each day of the week.
- update_hours(location_id, new_hours, hours_type='primary'): Updates the hours of operation for a DevHub location.
- get_nearest_location(business_id, latitude, longitude): Finds the nearest DevHub location based on geographic coordinates.
- site_from_url(url): Gets the DevHub site ID and details from a URL. Returns site ID, URL, and associated location IDs.
Content Management
- get_blog_post(post_id): Retrieves a single blog post by ID, including its title, date, and HTML content.
- create_blog_post(site_id, title, content): Creates a new blog post. The content should be in HTML format and should not include an H1 tag.
- update_blog_post(post_id, title=None, content=None): Updates an existing blog post's title and/or content.
Media Management
- upload_image(base64_image_content, filename): Uploads an image to the DevHub media gallery. Supports webp, jpeg, and png formats. The image must be provided as a base64-encoded string.
Usage with LLMs
This MCP is designed to be used with Large Language Models that support the Model Context Protocol. It allows LLMs to manage content in DevHub CMS without needing direct API access integrated into the LLM natively.
Testing
This package includes a test suite with mocked requests to the DevHub API, allowing you to test the functionality without making actual API calls.
Running Tests
To run the tests, first install the package with test dependencies:
uv pip install -e ".[test]"
Run the tests with pytest:
uv run pytest
For more detailed output and test coverage information:
uv run pytest -v --cov=devhub_cms_mcp
Test Structure
tests/devhub_cms_mcp/test_mcp_integration.py: Tests for MCP integration endpoints
FAQ
- What is the DevHub CMS MCP server?
- DevHub CMS is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for DevHub CMS?
- This profile displays 53 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.7 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.7★★★★★53 reviews- ★★★★★Emma Anderson· Dec 28, 2024
We evaluated DevHub CMS against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Arjun Brown· Dec 8, 2024
I recommend DevHub CMS for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Li Chen· Nov 27, 2024
DevHub CMS reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Rahul Santra· Nov 19, 2024
We wired DevHub CMS into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Li Garcia· Nov 19, 2024
DevHub CMS has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Chinedu Shah· Oct 18, 2024
Useful MCP listing: DevHub CMS is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Pratham Ware· Oct 10, 2024
DevHub CMS is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Mei Abbas· Oct 10, 2024
According to our notes, DevHub CMS benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Sakshi Patil· Sep 25, 2024
DevHub CMS is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Arjun Johnson· Sep 21, 2024
DevHub CMS reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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