About Umbraco-CMS-MCP-Dev
Umbraco-CMS-MCP-Dev is a developer-focused MCP server for the Umbraco Management API, letting AI agents handle back-office content tasks through natural language. It authenticates as an Umbraco API user and follows that user's existing permissions.
Key features
- 01Access the Umbraco Management API
- 02Handle back-office tasks via natural language
- 03Authenticate with an API user
- 04Apply Umbraco user permissions
- 05Support single- and multi-tenant hosting
Use cases
- 01Manage back-office content through conversation
- 02Run repetitive CMS management workflows
- 03Give an AI agent permission-scoped API access
- 04Route requests in multi-tenant Umbraco Cloud deployments
MCP support
As an MCP server, it exposes access to the Umbraco Management API for MCP clients, enabling AI agents to perform back-office tasks. Authentication and permissions use an Umbraco API user.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
npx -y @umbraco-cms/mcp-devUMBRACO_CLIENT_IDSecretUmbraco API user client IDUMBRACO_CLIENT_SECRETSecretUmbraco API user client secretUMBRACO_BASE_URLBase URL of your Umbraco instanceUMBRACO_INCLUDE_TOOL_COLLECTIONSComma-separated list of tool collections to include (e.g., document,media,document-type)UMBRACO_READONLYEnable readonly mode to disable all write operations (create, update, delete). Only read and query tools remain available.Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEUmbraco MCP 
An MCP (Model Context Protocol) server for Umbraco CMS that unlocks AI-powered content management. It provides comprehensive access to the Umbraco Management API, enabling your AI agent to perform back office tasks through natural conversation - freeing you from the UI and making complex, repetitive workflows that would be tedious or impossible manually become effortless.
Intro
The MCP server authenticates using an Umbraco API user, ensuring secure, permission-based access to the Umbraco Management API. This means you maintain complete control over what your AI agent can do through Umbraco's standard user permission system - no special security model required.
Quick Start
1. Create an Umbraco API User
First, create an Umbraco API user with appropriate permissions. You can find instructions in Umbraco's documentation.
2. Install in Claude Desktop
Download and install the Claude Desktop app, then add the MCP server to your configuration:
- Open Claude Desktop Settings > Developer > Edit Config
- Add this configuration to your
claude_desktop_config.json:
{
"mcpServers": {
"umbraco-mcp": {
"command": "npx",
"args": ["@umbraco-cms/mcp-dev@17"],
"env": {
"NODE_TLS_REJECT_UNAUTHORIZED": "0",
"UMBRACO_CLIENT_ID": "your-api-user-id",
"UMBRACO_CLIENT_SECRET": "your-api-secret",
"UMBRACO_BASE_URL": "https://localhost:{port}",
"UMBRACO_INCLUDE_TOOL_COLLECTIONS": "document,media,document-type,data-type"
}
}
}
}
- Fully restart Claude Desktop (including in the system tray on Windows)
Tip: Pin
@umbraco-cms/mcp-devto your site's Umbraco major (e.g.@17above, or@18for an Umbraco 18.x site) rather than@latest. Tool schemas track the Management API of the package's own major, so a mismatched major can fail confusingly mid-task once a tool's shape has drifted. The server checks the connected site's version on startup and warns on a mismatch, but pinning avoids it altogether.
Documentation
For complete installation instructions, configuration options, tool listings, and usage examples, see the full documentation:
Hosted Deployment
The Cloudflare Worker entry point (src/worker.ts) supports two deployment modes, selected at request time by the @umbraco-cms/mcp-hosted library:
- Single-tenant (default) — the worker authenticates against the
UMBRACO_BASE_URLconfigured inwrangler.toml. This is the existing behavior and requires no extra configuration. - Multi-tenant Umbraco Cloud — set
UMBRACO_CLOUD_ROUTING_ENABLED = "true"under[vars]inwrangler.toml. Requests to/at/{alias}/...resolve the upstream Umbraco Cloud project for{alias}and issue access tokens scoped to that resource per the MCP resource-indicator spec. Each Umbraco Cloud project served by the worker must register an OpenIddict client with idumbraco-cms-developer-mcp-hosted.
siteRouting is wired unconditionally; the per-request toggle is the env var.
Contributing with AI Tools
This project is optimized for development with AI coding assistants. We provide instruction files for popular AI tools to help maintain consistency with our established patterns and testing standards.
Using rulesync
The project includes rulesync configuration files that can automatically generate instruction files for 19+ AI development tools. Generate configuration files for your preferred AI tools:
# Generate only for Claude Code
npx rulesync generate --claudecode
# Generate only for Cursor
npx rulesync generate --cursor
# Generate only for Vs Code Copilot
npx rulesync generate --copilot
Other AI Tools
rulesync supports 19+ AI development tools including GitHub Copilot, Cline, Aider, and more. Check the rulesync repository for the complete list of supported tools.
The instruction files cover:
- MCP development patterns and conventions
- TypeScript implementation guidelines
- Comprehensive testing standards with builders and helpers
- Project-specific context and architecture
- API integration patterns with Umbraco Management API
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.