CAST Imaging MCP Server

Name: CAST Imaging MCP Server
Author: CAST-Extend

by CAST-Extendversion 3.0.4i★ –iRuns on your computer

Registry nameio.github.CAST-Extend/imaging-mcp-server

Install

Overview

Description from the maker (original English)

MCP server exposing CAST Imaging software architecture insights to AI agents

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: Streamable HTTP
Category: Other
You need to fill in: HOST_CONTROL_PANEL, SERVICE_HOST

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: HOST_CONTROL_PANEL, PORT_CONTROL_PANEL, SERVICE_HOST, MCP_SERVER_PORT

You need

DockerDocker installed

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "imaging": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "HOST_CONTROL_PANEL",
        "-e",
        "PORT_CONTROL_PANEL",
        "-e",
        "SERVICE_HOST",
        "-e",
        "MCP_SERVER_PORT",
        "docker.io/castimaging/imaging-mcp-server:3.0.4"
      ],
      "env": {
        "HOST_CONTROL_PANEL": "your-value",
        "PORT_CONTROL_PANEL": "your-value",
        "SERVICE_HOST": "your-value",
        "MCP_SERVER_PORT": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add imaging --env HOST_CONTROL_PANEL=your-value --env PORT_CONTROL_PANEL=your-value --env SERVICE_HOST=your-value --env MCP_SERVER_PORT=your-value -- docker run -i --rm -e HOST_CONTROL_PANEL -e PORT_CONTROL_PANEL -e SERVICE_HOST -e MCP_SERVER_PORT docker.io/castimaging/imaging-mcp-server:3.0.4

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "imaging": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "HOST_CONTROL_PANEL",
        "-e",
        "PORT_CONTROL_PANEL",
        "-e",
        "SERVICE_HOST",
        "-e",
        "MCP_SERVER_PORT",
        "docker.io/castimaging/imaging-mcp-server:3.0.4"
      ],
      "env": {
        "HOST_CONTROL_PANEL": "your-value",
        "PORT_CONTROL_PANEL": "your-value",
        "SERVICE_HOST": "your-value",
        "MCP_SERVER_PORT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "imaging": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "HOST_CONTROL_PANEL",
        "-e",
        "PORT_CONTROL_PANEL",
        "-e",
        "SERVICE_HOST",
        "-e",
        "MCP_SERVER_PORT",
        "docker.io/castimaging/imaging-mcp-server:3.0.4"
      ],
      "env": {
        "HOST_CONTROL_PANEL": "your-value",
        "PORT_CONTROL_PANEL": "your-value",
        "SERVICE_HOST": "your-value",
        "MCP_SERVER_PORT": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

HOST_CONTROL_PANEL required env
CAST Imaging Control Panel hostname or IP
PORT_CONTROL_PANEL env
CAST Imaging Control Panel port
SERVICE_HOST required env
Hostname or IP of the machine running the MCP server
MCP_SERVER_PORT env
Internal port the MCP server container listens on

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account CAST-Extend, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

More stars than 0% of the other 32606 servers in this category
Published to the registry more recently than 16% of the other 32606 servers in this category
Basic checks equal to or better than 100% of the other 32606 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is CAST Imaging MCP Server safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: HOST_CONTROL_PANEL, SERVICE_HOST

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (3.0.4) reached the registry 4 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Georgia MCP

Alternatives

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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

CAST Imaging MCP Server

Overview

The CAST Imaging MCP Server bridges the gap between AI agents and real software architecture by exposing comprehensive software intelligence through the Model Context Protocol (MCP). It allows the user to get insights about their applications ,transactions, dependencies, quality patterns, and architectural structures by prompting AI agents.

This service provides AI Agents with the understanding of your applications from portfolio-level inventories to granular object relationships. Whether you're exploring database schemas, analyzing transaction flows, investigating quality issues, the MCP server delivers precise, paginated data that enables informed architectural decisions.

Use Cases

Portfolio-level exploration: List applications available in your CAST Imaging and provides detailed information about them.
Application architecture analysis: Explore architectural graphs at different levels and visualize system structure.
Transaction & data flow mapping: Analyze transactions, trace data entity interaction networks, explore complex objects and sequencing.
Quality & security insights: Identify vulnerabilities, cloud readiness blockers and structural flaws in the applications.
Database schema exploration: Browse database tables, columns, relationships, and constraints across applications.
Object-level investigation: Search objects and their properties and analyze caller/callee relationships.

Prerequisites
Quick Start
Installation
Configuration Reference
Running (HTTP)
Windows Installation
VS Code + GitHub Copilot Setup
Verification & Test Queries
Toolsets & Tools
Troubleshooting
Security Notes
Package Contents
Support

Prerequisites

Required

Linux system with Docker installed and running.
CAST Imaging‑APIs service reachable from this host
MCP‑aware client (e.g., GitHub Copilot in VS Code, Claude Desktop)
CAST Imaging API Key (generate from your Imaging user profile)

Download

Download the installer for CAST Imaging MCP server

The MCP server should run on a Linux system. CAST Imaging‑APIs may run on the same or a different Linux machine.

Quick Start

Verify Imaging‑APIs is live:

   curl -H "x-api-key: <your-imaging-api-key>"         http://{CONTROL_PANEL_HOST}:8090/imaging/apis/rest/ready

expected: true

2. **Extract** the installer zip.

Configure config/app.config and .env.
Start the server with ./run.sh --install.
Configure client (VS Code Copilot or Claude) with your server URL.
Test queries (see examples below).

Installation of CAST Imaging MCP server

1) Extract the installer

com.castsoftware.imaging.mcpserver.docker.1.0.2-funcrel/

├─ config/ │ └─ app.config ├─ .env # hidden; use ls -a ├─ docker-compose.yml ├─ run.sh ├─ README.md └─ copilot-instructions.md

2) Verify CAST Imaging‑APIs

Make sure the Control Panel/registry is reachable and Imaging‑APIs is ready (see Quick Start step #1).

3) Configure server

Edit config/app.config:

HOST_CONTROL_PANEL="your-control-panel-host"   # REQUIRED: Control Panel service registry host/IP

PORT_CONTROL_PANEL=8098 # Default Control Panel registry port IMAGING_PAGE_SIZE=1000 # Internal fetch batch size IMAGING_DISPLAY_PAGE_SIZE=20 # Page size in responses IMAGING_CODE=False # Source code access via MCP (security sensitive) DEBUG_MODE=false # Debug mode to see the activity in logs IMAGING_DOMAIN="default" # Imaging domain/tenant CONTROL_PANEL_SSL_ENABLED=false # Set true only if Control Panel config/eureka is on HTTPS MCP_TOOL_SURFACE_PROFILE="full" # MCP tool exposure profile: "intents" or "full" MCP_INTENTS_HIDDEN_FUNCTIONS="" # Comma-separated structural functions hidden from intents mode SERVICE_HOST="your-service-host" # REQUIRED: The IP/hostname of the machine on which the MCP Server is running SSL_CA_BUNDLE="" # Optional PEM bundle for private/self-signed CAs

Set your exposed port in .env (hidden file):

MCP_SERVER_PORT=8282

Tip: On Linux, files starting with a dot (like .env) are hidden. Use ls -a to view.

4) Start

chmod +x run.sh

./run.sh --install

This launches the Docker Compose stack and the MCP server.

If you use SSL_CA_BUNDLE, place the PEM file in a certificates/ folder next to docker-compose.yml. The compose file mounts that folder into the container at /app/certificates.

Configuration Reference

`HOST_CONTROL_PANEL` (Required)

Default: None (user needs to provide the value) Description: IP or hostname of the machine running the Control Panel Service.

This is a service registry used by Imaging to register and discover its internal services. It is automatically deployed when you install Imaging. You should enter the IP address of the Linux machine running the Imaging Control Panel service.

`PORT_CONTROL_PANEL`

Default: 8098 Description: Control Panel registry port.

`IMAGING_PAGE_SIZE`

Default: 1000 Description: Sets the number of records the MCP server fetches per request (internal batching). Tune for throughput.

`IMAGING_DISPLAY_PAGE_SIZE`

Default: 20 Description: Sets how many records are shown per page in the user-facing response. Tune for UX.

`IMAGING_CODE`

Default: False Description: Controls whether the agent can access source code via the MCP server.

It's false by default, as agents typically work on open repos. Enabling it can expose source code to anyone with MCP access, making it a potential security risk, especially relevant for clients like Claude desktop without direct repo access.

`DEBUG_MODE`

Default: false Description: Debug mode will show teh activity in the logs. When set to true it will show the tool picked, the API called and the result for each user prompt. When set to false, it will only show the tool picked and the corresponding API called.

`IMAGING_DOMAIN`

Default: default Description: Imaging domain/tenant used to fetch data in multi-tenant environments.

`CONTROL_PANEL_SSL_ENABLED`

Default: false Description: Set to true when Control Panel config/eureka endpoints run on HTTPS.

`MCP_TOOL_SURFACE_PROFILE`

Default: full Description: Selects the MCP tool exposure profile. Use full to expose the complete toolset, or intents for the meta-tool surface.

`MCP_INTENTS_HIDDEN_FUNCTIONS`

Default: empty Description: Comma-separated list of structural functions to hide when MCP_TOOL_SURFACE_PROFILE is set to intents.

`SERVICE_HOST` (Required)

Default: None (user needs to provide the value) Description: IP/hostname of the machine on which the MCP Server is running.

`SSL_CA_BUNDLE`

Default: empty Description: Optional path to a PEM CA bundle for private/self-signed certificate chains. With the Docker installer, place the PEM under ./certificates/ and reference it as /app/certificates/ .pem.

Running (HTTP)

Start the server with:

chmod +x run.sh

./run.sh --install

Windows Installation

This section provides detailed steps for installing and configuring the CAST Imaging MCP Server on Windows systems.

Prerequisites for Windows

Windows system
CAST Imaging‑APIs service running and accessible
MCP‑aware client (e.g., GitHub Copilot in VS Code, Claude Desktop)
CAST Imaging API Key (generate from your Imaging user profile)

1) Download and Extract

Download the installer package for windows.
Extract the zip file to your preferred location
Navigate to the extracted directory

Package contents:

com.castsoftware.imaging.mcpserver.__MCP_VERSION__*/

├─ mcpserver/ ├─ tools/ ├─ configuration.conf ├─ mcp-server-installer.bat └─ README.md

2) Verify CAST Imaging‑APIs

Make sure the Control Panel/registry is reachable and Imaging‑APIs is ready:

curl -H "x-api-key: <your-imaging-api-key>"

http://{HOSTNAME_CONTROL_PANEL}:8090/rest/ready

expected: true

3) Configure Server

Edit configuration.conf with your environment settings:

HOSTNAME_CONTROL_PANEL="your-control-panel-host"      # Required: IP or hostname of Control Panel server

SERVICE_HOST="your-service-host" # Required: IP/hostname of the MCP Server machine PORT_CONTROL_PANEL=8098 # Default Control Panel registry port MCP_SERVER_PORT=8282 # Default MCP server port INSTALL_DIR=C:\Program Files\Cast\Imaging-MCP-Server # Default installation location CONFIG_DIR=C:\ProgramData\CAST\Imaging-MCP-Server # Default config files location IMAGING_PAGE_SIZE=1000 # Records per internal request IMAGING_DISPLAY_PAGE_SIZE=20 # Records per response page IMAGING_CODE=False # Enable source code access (security consideration) DEBUG_MODE=false # Debug mode to see the activity in logs IMAGING_DOMAIN=default # Imaging domain/tenant CONTROL_PANEL_SSL_ENABLED=false # Set true only if Control Panel config/eureka is on HTTPS MCP_TOOL_SURFACE_PROFILE=full # MCP tool exposure profile: full or intents MCP_INTENTS_HIDDEN_FUNCTIONS= # Comma-separated structural functions hidden from intents mode SSL_CA_BUNDLE= # Optional PEM bundle for private/self-signed CAs

4) Install as Windows Service

Run the installation using the batch script:

mcp-server-installer.bat --install configuration.conf

This installs the MCP server as a Windows service. After successful installation, you'll see a Windows service named "CAST Imaging MCP Server" in your services list.

5) Verify Installation

Check that the service is running:

Open Services (services.msc)
Look for "CAST Imaging MCP Server"
Ensure status is "Running"

Windows-Specific Operations

Update MCP Server

To update an existing installation:

mcp-server-installer.bat --update

No configuration changes needed for updates.

Uninstall MCP Server

To completely remove the MCP server:

mcp-server-installer.bat --uninstall

This removes the Windows service and cleans up all MCP-related files.

Get Help

For available commands:

mcp-server-installer.bat --help

Available commands:

mcp-server-installer.bat --install configuration.conf   : Install CAST Imaging MCP server

mcp-server-installer.bat --update : Update CAST Imaging MCP server mcp-server-installer.bat --uninstall : Uninstall CAST Imaging MCP server mcp-server-installer.bat --help : Display help message

Windows Troubleshooting

Issue	Possible Cause	Solution
Service won't start	Configuration error	Check `%CONFIG_DIR%/setup-config/app.config`
Connection refused	Service not running	Restart "CAST Imaging MCP Server" service
Installation fails	Insufficient permissions	Run installer as Administrator

VS Code + GitHub C

Only the beginning is shown; read the rest in the repo

CAST Imaging MCP Server

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Otheri

Common questions

Alternatives

Spec Driven Development

Remote Desktop Commander

Georgia MCP

README from the maker

CAST Imaging MCP Server

Overview

Use Cases

Table of Contents

Prerequisites

Required

Download

Quick Start

expected: true

Installation of CAST Imaging MCP server

1) Extract the installer

2) Verify CAST Imaging‑APIs

3) Configure server

4) Start

Configuration Reference

HOST_CONTROL_PANEL (Required)

PORT_CONTROL_PANEL

IMAGING_PAGE_SIZE

IMAGING_DISPLAY_PAGE_SIZE

IMAGING_CODE

DEBUG_MODE

IMAGING_DOMAIN

CONTROL_PANEL_SSL_ENABLED

MCP_TOOL_SURFACE_PROFILE

MCP_INTENTS_HIDDEN_FUNCTIONS

SERVICE_HOST (Required)

SSL_CA_BUNDLE

Running (HTTP)

Windows Installation

Prerequisites for Windows

1) Download and Extract

2) Verify CAST Imaging‑APIs

expected: true

3) Configure Server

4) Install as Windows Service

5) Verify Installation

Windows-Specific Operations

Update MCP Server

Uninstall MCP Server

Get Help

Windows Troubleshooting

VS Code + GitHub C

`HOST_CONTROL_PANEL` (Required)

`PORT_CONTROL_PANEL`

`IMAGING_PAGE_SIZE`

`IMAGING_DISPLAY_PAGE_SIZE`

`IMAGING_CODE`

`DEBUG_MODE`

`IMAGING_DOMAIN`

`CONTROL_PANEL_SSL_ENABLED`

`MCP_TOOL_SURFACE_PROFILE`

`MCP_INTENTS_HIDDEN_FUNCTIONS`

`SERVICE_HOST` (Required)

`SSL_CA_BUNDLE`