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Tridion DXD MCP Server

Tridion DXD MCP Server

Local
github.com/RWSBusiness & Marketing2Updated 74w ago

About Tridion DXD MCP Server

An example MCP server for Tridion DXD, intended for deployments that already run its Content Service and Token Service. It requires the DXD service URLs and client secret to run.

Key features

  1. 01Connects to Tridion DXD services
  2. 02Requires Content Service and Token Service
  3. 03Configured through environment variables

Use cases

  1. 01Run an MCP server alongside Tridion DXD
  2. 02Debug the server with MCP Inspector

MCP support

It is an example MCP server for Tridion DXD. The README does not specify which tools or resources it exposes to MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"tridion-dxd": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/inspector"
]
}
}
}
Run commandnpx -y @modelcontextprotocol/inspector

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@modelcontextprotocol/inspector

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Tridion DXD MCP Server

This repository contains an example Model Context Protocol (MCP) Server for Tridion DXD.

Building

This project requires Java 21 and a recent version of Maven. To build:

mvn clean install -U

Running

To run this application, you need a running Tridion DXD Content Service and Token Service.

  1. Set the following Environment Variables: DXD_CLIENT_SECRET DXD_CONTENT_URL DXD_TOKEN_URL
  2. Use the Spring Boot Maven Plugin:
    mvn spring-boot:run
    

Debugging

The MCP Inspector is a useful tool for debugging MCP Servers. To run it:

npx @modelcontextprotocol/inspector

See https://modelcontextprotocol.io/docs/tools/inspector

Comments

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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.