GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Deploy to IBM Code Engine from Cursor, Copilot, Claude & Cline. Build, push, deploy via MCP.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
IBMCLOUD_API_KEY, IBMCLOUD_REGION, CONTAINER_RUNTIMEValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
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": {
"code-engine": {
"command": "npx",
"args": [
"-y",
"code-engine-mcp-server"
],
"env": {
"IBMCLOUD_API_KEY": "your-value",
"IBMCLOUD_REGION": "your-value",
"CONTAINER_RUNTIME": "your-value"
}
}
}
}Run this in your terminal
claude mcp add code-engine --env IBMCLOUD_API_KEY=your-value --env IBMCLOUD_REGION=your-value --env CONTAINER_RUNTIME=your-value -- npx -y code-engine-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"code-engine": {
"command": "npx",
"args": [
"-y",
"code-engine-mcp-server"
],
"env": {
"IBMCLOUD_API_KEY": "your-value",
"IBMCLOUD_REGION": "your-value",
"CONTAINER_RUNTIME": "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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"code-engine": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"code-engine-mcp-server"
],
"env": {
"IBMCLOUD_API_KEY": "your-value",
"IBMCLOUD_REGION": "your-value",
"CONTAINER_RUNTIME": "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.
IBMCLOUD_REGION envCONTAINER_RUNTIME envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 6, 2026
The registry name was verified with the GitHub account markusvankempen, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
You need to fill in: IBMCLOUD_API_KEY
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).
The GitHub repo last changed –, and the latest version (1.4.2) reached the registry 4 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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.
MCP server for IBM Code Engine — build, push, and deploy containers from Cursor, Copilot, Claude, and Cline using natural language.
Current release: v1.7.8 — 28 tools instead of 112 (one tool per resource with an
actionfield, same capability, old names still work), a shared local HTTP server for the VS Code extension, a web admin UI with a *Remote client* tab (test tools, logging, users and API keys, events), MCP Remote Config inside VS Code, and a check that the server you point at really is a code-engine MCP server. See CHANGELOG.md and the tool reference.
Search terms: code-engine-mcp · ibm-code-engine · ibm-cloud · ibm-container-registry · mcp-server · model-context-protocol · cursor · github-copilot · claude-desktop · cline · docker · podman · serverless · container-deployment · typescript · npx · ai-agents · devops · cloud-native · watsonx-orchestrate
Author: Markus van Kempen | markus.van.kempen@gmail.com · markusvankempen.github.io *No bug too small, no syntax too weird.*
flowchart TD
A([AI Assistant\nCopilot / Claude / Cline / Bob]) -->|MCP JSON-RPC| B[Code Engine MCP Server]
B --> C{Tool Category}
C -->|Container Tools| D[Docker / Podman] C -->|Registry Tools| E[IBM Container Registry\nus.icr.io] C -->|Code Engine Tools| F[IBM Code Engine\nREST API] C -->|Procedures| G[Multi-step Workflows]
D -->|build / push / validate| E E -->|image reference| F
G -->|proc_build_push_deploy| D G -->|proc_apply_manifest| F
F --> H[(Projects\nApps\nBuilds\nJobs\nSecrets\nDomains)]
H -->|ready| I([Live App\nhttps://app.region.codeengine.appdomain.cloud])
style A fill:#1261FE,color:#fff style B fill:#0f3460,color:#fff style G fill:#7b2d8b,color:#fff style I fill:#198038,color:#fff
ce_app, ce_job, ce_secret, … each take an action (list, get, create, delete, …). Every earlier capability is still there; see the tool reference.local_container, dockerfile)icr) and the whole Code Engine surface: projects, apps, jobs, builds, secrets, config maps, domains, bindings, functions, fleetsproc_build_push_deploy), custom domains, declarative manifests/admin): overview, activity, users, API keys, runtime settings, and a *Remote client* tab that tests the tools and configures the server (logging, users and keys, events)vscode-extension/ (including *MCP Remote Config*)MCP_ACTIVITY_* env vars)# 1) Install dependencies
npm install
npm run build
node build/index.js
Then configure your MCP client using one of the examples in the Configuration section below.
The true power of this MCP server is that you don't need to know Docker or Code Engine commands. You can simply state your goal, and the LLM will discover the environment, run the pipeline, and fix issues autonomously.
Here is an example interaction from a real session:
User:
"I have an app in the
developer-splashfolder. Deploy it to my Code Engine project."
Assistant's Autonomous Thought Process:
my-project and namespace my-namespace.".env file and create the secret icr-pull-secret."sed pattern in the Dockerfile didn't match nginx alpine's default config format for port 80. I'll fix the Dockerfile with a regex-safe sed and rebuild."Assistant Response to User:
"Your app is deployed and live at:
https://developer-splash. . .codeengine.appdomain.cloud. I had to fix a minor port configuration issue in your Dockerfile, but it is successfully running now!"
With this MCP server, the AI acts as an expert DevOps engineer pairing with you.
See what your AI assistant is doing in real time — tool calls, idle gaps between steps, deploy outcomes, and live app URLs.
flowchart LR
A[MCP tool call] -->|MCP_ACTIVITY_ENABLED| B[events.jsonl] B --> C{Dashboard} C -->|VS Code extension| D[Activity tab] C -->|Browser| E[localhost:8767] D --> F[Deployments tab\ninventory + actions]
Since v1.6.0 the server logs every tool start/finish to ~/.code-engine-mcp/activity/events.jsonl — input summaries, pipeline sub-steps (proc_build_push_deploy), result highlights, and optional HTTP smoke-test labels. API keys, passwords, TLS keys, env var values, and secret payloads are redacted. The file rotates at 5 MB.
Optional env in your MCP client config:
"MCP_ACTIVITY_ENABLED": "false",
"MCP_ACTIVITY_EVENTS_PATH": "/custom/path/events.jsonl", "MCP_ACTIVITY_SESSION_ID": "session:my-chat-001", "MCP_ACTIVITY_CHAT_LABEL": "Deploy Star Wars splash"
In the VS Code extension, turn logging off with codeEngineMcp.activityEnabled. Restart the MCP server after changing env.
See .env.example for all MCP_ACTIVITY_* variables.
| Method | How |
|---|---|
| VS Code extension | Command Palette → IBM Code Engine MCP: Open MCP Activity Dashboard |
| Browser (dev repo) | npm run dashboard → http://localhost:8767/ |
| Live refresh | On by default in the browser; toggle in-panel or set codeEngineMcp.activityLiveRefresh (extension) |
The Activity tab shows a session timeline with tool duration, idle gaps, and a task-outcome banner (status, image, live URL). The Deployments tab lists projects and apps from Code Engine and supports get-details, redeploy, and delete via MCP tools.
Example chat prompt:
*"I have a Star Wars splash page in examples/starwars-splash. Deploy it to Code Engine using only MCP tools — build for linux/amd64, push to my ICR namespace, and deploy to my Code Engine project. Show me the live URL when ready."*
Open the Activity Dashboard while the assistant runs to watch proc_build_push_deploy progress step by step.
This walks through deploying the included Star Wars splash page example — a static nginx container — entirely through the MCP server.
Apple Silicon users: always build with
--platform linux/amd64. Code Engine runs amd64 only.
cd examples/starwars-splash
podman build --platform linux/amd64 -t us.icr.io/ /starwars-splash:v1.0.0 . podman push us.icr.io/ /starwars-splash:v1.0.0
Or ask your assistant:
Build examples/starwars-splash as us.icr.io/my-namespace/starwars-splash:v1.0.0 for linux/amd64 and push it
MCP response — `build_container_image`:
{
"success": true, "command": "podman build --platform linux/amd64 -t us.icr.io/my-namespace/starwars-splash:v1.0.0 ...", "build_output": "STEP 1/5: FROM nginx:alpine\nSTEP 2/5: COPY index.html /usr/share/nginx/html/index.html\nSTEP 3/5: RUN sed -i 's/listen 80;/listen 8080;/g' /etc/nginx/conf.d/default.conf\nSTEP 4/5: EXPOSE 8080\nSTEP 5/5: CMD [\"nginx\", \"-g\", \"daemon off;\"]\nSuccessfully tagged us.icr.io/my-namespace/starwars-splash:v1.0.0" }
Note: Container runtimes (Podman/Docker) write build progress to stderr. The
build_outputfield combines stdout and stderr so you see the full build log.
MCP response — `push_container_image`:
{
"success": true, "command": "podman push us.icr.io/my-namespace/starwars-splash:v1.0.0", "output": "Getting image source signatures\nCopying blobs...\nWriting manifest to image destination" }
Ask your assistant (once per project):
Create a registry secret called icr-pull-secret in project <project-id> for us.icr.io using my IBM Cloud API key
Or use the ce_create_secret tool directly:
{
"project_id": " ", "name": "icr-pull-secret", "format": "registry", "data": { "username": "iamapikey", "password": " ", "server": "us.icr.io", "email": "user@example.com" } }
MCP response — `ce_create_secret`:
{
"name": "icr-pull-secret", "format": "registry", "resource_type": "secret_registry_v2", "created_at": "2026-05-08T22:10:00Z", "project_id": " " }
Ask your assistant:
Deploy us.icr.io/my-namespace/starwars-splash:v1.0.0 to Code Engine project <project-id>
as app "starwars-splash" using pull secret icr-pull-secret, min 1 instance
Or use the ce_create_application tool:
{
"project_id
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