CAST Imaging MCP Server

Name: CAST Imaging MCP Server
Author: CAST-Extend

作者：CAST-Extend版本 3.0.4i★ –i在你的电脑上运行

注册名称io.github.CAST-Extend/imaging-mcp-server

安装

概览

作者提供的说明（英文原文）

MCP server exposing CAST Imaging software architecture insights to AI agents

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i1 项中通过 1 项依据公开信息检查；尚未扫描代码
使用情况i尚未统计★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在你的电脑上运行
传输方式: Streamable HTTP
分类: 其他
你需要填写：HOST_CONTROL_PANEL, SERVICE_HOST

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：1 项中通过 1 项
在你的电脑上运行，拥有你的用户账户的权限（文件、网络、应用）。
需要你自己填写： HOST_CONTROL_PANEL, PORT_CONTROL_PANEL, SERVICE_HOST, MCP_SERVER_PORT

你需要

Docker已安装 Docker

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config，把下面的内容粘贴到 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"
      }
    }
  }
}

在终端中运行这条命令

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

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.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"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "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"
      }
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

这个服务器在你的电脑上运行，而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上，无需账户。

需要你填写的值

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

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

它在你的电脑上运行；安装后，工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 CAST-Extend 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
– 不适用
端点有响应
它在你的电脑上运行，没有互联网端点
– 不适用
使用 OAuth 登录
在你的电脑上运行，改用本地设置
… 尚未检查
工具描述中没有隐藏指令
它在你的电脑上运行；我们只能读取互联网端点的工具列表

与“其他”中的其他服务器比较i

星标数多于此分类中其他 32599 个服务器的 0%
发布到注册中心的时间比此分类中其他 32599 个服务器的 16% 更新
基础检查结果等于或优于此分类中其他 32599 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

CAST Imaging MCP Server 安全吗？

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

你需要填写：HOST_CONTROL_PANEL, SERVICE_HOST

它在我的电脑上运行还是在云端？

它在你的电脑上运行。你的 AI 应用会在需要时启动它，数据不会经过作者的服务器（除非它自己调用在线服务）。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（3.0.4）于4个月前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。

有什么可以替代它？

同一分类中有：Spec Driven Development, Remote Desktop Commander, Zendesk

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Spec Driven Development

作者：formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新

安装

Remote Desktop Commander

作者：desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新

安装

Zendesk

作者：pipeworx-io

Zendesk MCP Pack — tickets, users, organizations via OAuth.

电脑或云端今天更新

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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

只显示了开头部分；其余内容请在仓库中阅读

CAST Imaging MCP Server

概览

PopNx MCP 的三大支柱

它能帮你做什么

安装

安装之前

需要你填写的值

它能做什么

基础检查i

作者与仓库一致

仍在维护

有许可证

端点有响应

使用 OAuth 登录

工具描述中没有隐藏指令

与“其他”中的其他服务器比较i

常见问题

替代选择

Spec Driven Development

Remote Desktop Commander

Zendesk

作者的 README

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`