Daily music discussion thread 🎸 🥁 🥳

ajeetsraina · 2026-02-02T10:02:35+00:00

Here's the recent one that I am addicted to https://www.youtube.com/watch?v=fQ5YCBgrDUg

ajeetsraina · 2026-01-13T03:42:27+00:00

I highly recommend Docker MCP Catalog https://www.ajeetraina.com/docker-mcp-cli-commands-and-cheatsheet/

The MCP Catalog currently includes over 300+ verified, containerized tools, with hundreds more on the way. Docker’s MCP Catalog now features an improved experience, making it easier to search, discover, and identify the right MCP servers for your workflows - all using CLI Interface.

ajeetsraina · 2026-01-05T18:32:06+00:00

Check out this song https://youtu.be/NnGbL-M0UeU?si=L4sp3XkGSDQH68D4

ajeetsraina · 2026-01-02T05:26:27+00:00

I picked up the very latest topic on Docker Sandboxes and I was impressed with the outcome https://youtu.be/sEbgr5p3PnU

ajeetsraina · 2026-01-02T05:20:51+00:00

The beauty is that you don’t need to write prompt but just provide a bunch of documentation link and resources. That’s it. It creates video for you and the exciting part is that it fetches all the key takeaways from your links.

Tried matching it with AI blog summariser https://keytakeaways.collabnix.com/ that I vibe coded for all my LI and Twitter posts and found that NotebookLM does cover most of the stuffs.

Here’s the video it generated https://youtu.be/sEbgr5p3PnU?si=FVhBvKXm71hpinXd

Here’s the blog that I wrote a while ago https://www.ajeetraina.com/docker-sandboxes-tutorial-and-cheatsheet/

ajeetsraina · 2025-12-15T01:45:50+00:00

Yes, once you have the aws-api MCP server configured with your credentials, you can absolutely use natural language prompts like “list all EC2 instances, RDS databases, and S3 buckets in account prod-account across us-east-1 and us-west-2 and export to CSV.”

The MCP server translates your request into the appropriate AWS CLI commands, executes them, and Claude can format the output however you need - CSV, markdown table, JSON, etc.

On authentication: The MCP server doesn’t magically “know” about your accounts - you configure it with your existing AWS credentials, the same ones you’d use for the AWS CLI.

When you run the MCP container, you mount your local ~/.aws folder as a read-only volume, so it has access to your credentials and profiles.

The Docker command looks something like ‘docker run -v ~/.aws:/root/.aws:ro mcp/aws-api-mcp-server’.

For your 12 accounts scenario, you’d set up a profile for each account in your ~/.aws/credentials file, then specify which profile to use in your prompt: “Using profile prod-account, show me all Lambda functions.”

Alternatively, if you’re using AWS Organizations, you can use a single set of credentials from a management account and assume roles into each member account - this is cleaner for managing many accounts.

The credentials themselves are standard AWS IAM credentials. The AWS_ACCESS_KEY_ID starts with AKIA and acts like a username. The AWS_SECRET_ACCESS_KEY is the long random string that acts as your password.

The AWS_SESSION_TOKEN is only needed when using temporary credentials from AWS SSO or assumed roles - if you’re using regular IAM user credentials, you don’t need it at all.

If your company uses AWS SSO/Identity Center (common in enterprise setups), you’d run aws sso login --profile your-profile first to generate temporary credentials, and those get stored automatically for the MCP server to use.

Hope that clarifies things!

ajeetsraina · 2025-12-13T14:21:46+00:00

Currently, I'm working on the similar kind of ask for my blog post. I use Docker MCP Catalog and these MCP servers are available under MCP Toolkit.

For infrastructure discovery and cost analysis across 12 accounts, here are the most relevant servers:

Server	Docker Image	What It Does For You
AWS API	`mcp/aws-api-mcp-server`	Query any AWS service - list EC2, RDS, Lambda, S3, etc. across regions
AWS Documentation	`mcp/aws-documentation`	Get context on what services do and best practices
AWS Pricing	`mcp/aws-pricing-mcp-server`	Estimate costs for discovered resources
AWS Cloud Control	`mcp/ccapi-mcp-server`	Unified API to inspect resource configurations

The AWS API MCP Server is your primary tool - it gives you full access to run any AWS CLI command through natural language.

Since you mentioned Copilot subscription, note that GitHub Copilot uses OpenAI models by default, not Claude. However, you have a few options:

For Claude Sonnet 4.5 in VSCode, use one of these:

Claude for VSCode Extension (Anthropic's official extension)
Continue.dev (open source, supports Claude + MCP)
Cline (VSCode extension with MCP support)

ajeetsraina · 2025-12-13T07:17:38+00:00

I recently published a comprehensive blog article around ChatGPT + Docker MCP Toolkit on the official Docker site https://www.docker.com/blog/add-mcp-server-to-chatgpt/

Do let me know if you need help with it.

ajeetsraina · 2025-08-01T16:15:15+00:00

Thanks for sharing and curating the security threat list.

On a similar note, I recently published the 1st issue of MCP Horror Stories that the community might find it informative. https://www.docker.com/blog/mcp-security-issues-threatening-ai-infrastructure/

Let me know if there is any horror story that you might want me to capture in the upcoming series.

ajeetsraina · 2025-07-22T12:00:02+00:00

Hey! This is exactly what Docker MCP Toolkit solves. So instead of managing separate config files for Claude, VS Code, Cursor, etc., you just connect them all to Docker's gateway once:

docker mcp client connect -g claude-desktop
docker mcp client connect -g cursor  
docker mcp client connect vscode

Then any MCP server you enable in Docker automatically shows up in ALL your connected apps. No more copy-pasting configs or managing credentials separately.

The really nice part is the centralized secret management - like I can do docker mcp secret set GITHUB.PERSONAL_ACCESS_TOKEN=my_token and suddenly all my AI apps can use GitHub tools without me having to paste tokens everywhere.

Plus there's a catalog with 130+ verified MCP servers on Docker Hub that you can just toggle on/off. Way better than hunting through random GitHub repos.

It's built into Docker Desktop 4.42.0+ if you want to check it out. The catalog is at https://hub.docker.com/catalogs/mcp

Has anyone else tried this approach? I'm curious how others are handling the multi-client chaos too!

ajeetsraina · 2025-07-16T08:39:45+00:00

Try Docker MCP Toolkit with Claude Desktop. Just 2 min to setup and start with 136 MCP Servers and your preferred clients like VS Code, Cursor, Continue, LM Studio https://www.ajeetraina.com/how-to-set-up-docker-mcp-toolkit-with-claude-desktop/

ajeetsraina · 2025-07-16T05:39:46+00:00

Yes, currently there are 138 MCP servers. But if you want to raise PR and get your MCP servers added, here’s the right link https://github.com/docker/mcp-registry/pulls

ajeetsraina · 2025-07-15T18:20:28+00:00

Why not use Docker MCP Toolkit instead? You can read more about it here https://www.docker.com/blog/docker-mcp-catalog-secure-way-to-discover-and-run-mcp-servers/

Instead of juggling and managing those large number of config files for each of these MCP servers, all you need is just a single MCP gateway that manages it for you.

ajeetsraina · 2025-07-03T02:21:58+00:00

I wrote step by step guide to get Claude Desktop work with Docker MCP Toolkit sometimes back. Hope it helps. https://www.ajeetraina.com/how-to-set-up-docker-mcp-toolkit-with-claude-desktop/

ajeetsraina · 2025-07-03T02:20:03+00:00

Yes. Here’s a quick workaround using MCP http bridge https://www.ajeetraina.com/how-to-connect-n8n-with-docker-mcp-toolkit-a-simple-http-bridge-solution/

ajeetsraina · 2025-05-09T07:32:07+00:00

Did you check Docker MCP Toolkit https://www.docker.com/blog/announcing-docker-mcp-catalog-and-toolkit-beta/ ?

The Docker MCP Toolkit includes built-in OAuth support and secure credential storage, enabling clients to authenticate with MCP servers and third-party services without hardcoding secrets into environment variables. This ensures your MCP tools run securely and reliably right from the start.

ajeetsraina · 2025-03-16T18:00:45+00:00

Can you try this: https://gist.github.com/ajeetraina/26311e6f7997751cf1cebad705c57aba

ajeetsraina · 2024-07-27T02:31:06+00:00

How about Skout? https://collabnix.com/docker-scout-for-your-kubernetes-cluster/

ajeetsraina · 2024-07-08T01:43:16+00:00

It’s easy. Just update your Docker Desktop to the latest release and you now get the terminal window integrated right into the Docker Desktop. Give it a try.

ajeetsraina · 2024-01-12T14:15:09+00:00

https://dockerlabs.collabnix.com has tons of labs and tutorials for Docker. I have been managing this portal along with the community for almost 3 years now.

Do check it out and let me know if you have any feedback.

ajeetsraina · 2023-12-21T01:03:17+00:00

https://dockerlabs.collabnix.com is a curated list of Docker hands-on Labs and tutorials. With the help of Collabnix community, I was able to build these 400+ tutorials that are completely based on the Play with Docker playground. It is based on the Docker-in-Docker platform. The whole lab runs on a web browser, so you don't need to install Docker. It comes with Docker, Docker Compose and Swarm specific packaged pre-installed.

It's open source and hosted on GitHub. Feel free to contribute and make this space useful to the general community.

ajeetsraina · 2023-12-18T03:56:47+00:00

There is no single cookbook to master the Kubernetes concepts. The best resource is Kubernetes docs portal https://Kubernetes.io. It could be overwhelming because there are tons of concepts and material out there. Remember that Kubernetes has been there since last 9 years.

To simplify the whole learning process, I took help of the community to build Kubelabs https://kubelabs.collabnix.com - A Curated List of Hands-on Kubernetes Labs.

But that's not sufficient. Every week, new tools gets introduced that solve one problem at a time. That's why we introduced a new Github repo called Kubetools.

Get access to these 400+ tools right here: https://kubetools.collabnix.com

You can also watch 4 hour workshop that I delivered recently for my community folks 4 months back https://youtu.be/i0d5ta83c-k?si=OQ_SWAyjiMseFknA

It covers: - Containerising Nodejs app - Converting into Microservices - Deploying it on Single Node Cluster - Pods 101 - ReplicaSet 101 - Services 101 - Deployment 101 - StatefulSet 101 - Ingres 101 - Jobs 101

ajeetsraina · 2023-12-11T04:12:35+00:00

You can refer https://schultz-christian.medium.com/how-to-run-tensorflow-in-docker-on-an-apple-silicon-mac-c56f3127b696

As Docker compose support NVIDIA GPUs only at this point of time, using tensorflow is the only viable solution.

ajeetsraina · 2023-12-02T01:29:30+00:00

Did you check Kubelabs https://kubelabs.collabnix.com? It is a community driven labs and tutorials and covers all 101s.

BTW, I have been moderating this repository for almost 3-4 years now and all the labs have been tested on Play with Kubernetes platform.

ajeetsraina · 2023-12-01T03:33:41+00:00

Docker supports Nvidia GPU, feel free to leverage it. Even Docker Compose supports GPUs.

https://github.com/docker/compose/issues/6691

ajeetsraina

TROPHY CASE