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A developer focused model context protocol (MCP) server for Umbraco CMS
A developer focused model context protocol (MCP) server for Umbraco CMS
Valid MCP server (1 strong, 1 medium validity signals). 9 known CVEs in dependencies Package registry verified. Imported from the Official MCP Registry.
4 files analyzed · 10 issues found
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Set these up before or after installing:
Environment variable: UMBRACO_CLIENT_ID
Environment variable: UMBRACO_CLIENT_SECRET
Environment variable: UMBRACO_BASE_URL
Environment variable: UMBRACO_INCLUDE_TOOL_COLLECTIONS
Environment variable: UMBRACO_READONLY
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-umbraco-umbraco-cms-mcp-dev": {
"env": {
"UMBRACO_BASE_URL": "your-umbraco-base-url-here",
"UMBRACO_READONLY": "your-umbraco-readonly-here",
"UMBRACO_CLIENT_ID": "your-umbraco-client-id-here",
"UMBRACO_CLIENT_SECRET": "your-umbraco-client-secret-here",
"UMBRACO_INCLUDE_TOOL_COLLECTIONS": "your-umbraco-include-tool-collections-here"
},
"args": [
"-y",
"@umbraco-cms/mcp-dev"
],
"command": "npx"
}
}
}From the project's GitHub README.
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.
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.
First, create an Umbraco API user with appropriate permissions. You can find instructions in Umbraco's documentation.
Download and install the Claude Desktop app, then add the MCP server to your configuration:
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"
}
}
}
}
For complete installation instructions, configuration options, tool listings, and usage examples, see the full documentation:
The Cloudflare Worker entry point (src/worker.ts) supports two deployment modes, selected at request time by the @umbraco-cms/mcp-hosted library:
UMBRACO_BASE_URL configured in wrangler.toml. This is the existing behavior and requires no extra configuration.UMBRACO_CLOUD_ROUTING_ENABLED = "true" under [vars] in wrangler.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 id umbraco-cms-dev-mcp-hosted.siteRouting is wired unconditionally; the per-request toggle is the env var.
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.
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
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:
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