MCP server

CAST Imaging MCP Server

io.github.CAST-Extend/imaging-mcp-server

Checked 25 Oct 2026, 21:10 UTC · Checked against OSV.dev for malware and vulnerabilities; never run by us

MCP server exposing CAST Imaging software architecture insights to AI agents

Runs on your computer

Source

At a glance

Type: MCP server
Publisher: Not verified
Status: Runs on your computer
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code
Last checked: 25 Oct 2026, 21:10 UTC

Connect it to your agent

Add to Cursor Add to VS Code VS Code Insiders

Opens the app, which shows the server and asks you to confirm. It then runs the package on your computer with your permissions. For other apps, copy the setup below.

Claude Code

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

Claude Desktop

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

Codex (config.toml)

[mcp_servers.imaging-mcp-server]
command = "docker"
args = ["run","-i","--rm","-e","HOST_CONTROL_PANEL","-e","SERVICE_HOST","docker.io/castimaging/imaging-mcp-server:3.0.4"]
env = { HOST_CONTROL_PANEL = "YOUR_VALUE", SERVICE_HOST = "YOUR_VALUE" }

Gemini CLI

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

Cursor

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

VS Code

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

Runs on your computer with your permissions: check the package and its source before installing. Replace YOUR_VALUE with your own HOST_CONTROL_PANEL, SERVICE_HOST.

Browse

Related MCP servers

Ergora Specialists
17 business specialists — sales, marketing, ads, ecommerce, finance, HR, legal, PR… Cited insights.
Agent Router
Discover and call AI agents via MCP. Supports A2A agents and platform agents with async tasks.
EcoCompute Should-I-Quantize Estimator
Energy impact of LLM quantization, calibrated to measured GPU data. Every answer states its basis.
SAID: Semantic Acoustic Imaging Detector
Sound event localization & detection on a 360° wheel
Kettlelogic
MCP server exposing Kettle Logic insight articles & industry guidance as tools + resources.
NeuralVerge
Structured, cited, real-world data from 300+ sources and the open web for your AI agents.
Recovery TLV
Read-only facts, MSK references and availability snapshots for a physiotherapy clinic in Tel Aviv
aicut
Generate AI videos, images, audio and staged AI Video Story episodes, and publish them to social.

Badge for your README

[![AptLynx](https://aptlynx.net/badge/io.github.CAST-Extend/imaging-mcp-server.svg)](https://aptlynx.net/servers/io.github.CAST-Extend/imaging-mcp-server)

Listing text is written by the maker; AptLynx lists tools and does not vouch for them. Find another tool · Browse by topic · For agents