mcp-docker-agentic
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcp-docker-agenticRun ps aux in my-app container"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcp-docker-agentic
An MCP server for agentic Docker container operations. It uses the local docker binary, so authentication, networking, volumes, and context are whatever docker on your machine is configured for.
Concept
This is the Docker twin of mcp-ssh-agentic. Where the SSH server targets user@host[:port], this server targets a Docker container name or id. The tool names are parallel (ssh_* → docker_*) so existing muscle memory transfers across.
Running with npx
After release, the package is on npmjs and GitHub Packages as @jahrulnr/mcp-docker-agentic.
npmjs (simplest):
{
"mcpServers": {
"docker-agentic": {
"command": "npx",
"args": ["-y", "@jahrulnr/mcp-docker-agentic"]
}
}
}GitHub Packages (needs a PAT with read:packages in ~/.npmrc):
@jahrulnr:registry=https://npm.pkg.github.com
//npm.pkg.github.com/:_authToken=YOUR_GITHUB_PAT{
"mcpServers": {
"docker-agentic": {
"command": "npx",
"args": ["-y", "--registry=https://npm.pkg.github.com", "@jahrulnr/mcp-docker-agentic"]
}
}
}The container must already exist and be running. Pass the container name or id as container, for example my-app or a1b2c3d4.
Available Tools
docker_ping, docker_read_file, docker_write_file, docker_read_image, docker_list_dir, docker_mkdir, docker_grep, docker_apply_patch, docker_delete, docker_exec, docker_interactive_exec, docker_interactive_input, docker_interactive_close, docker_interactive_list, docker_cp_to, docker_cp_from, docker_close
Examples:
docker_ping("my-app")
docker_read_file("my-app", "/app/config.json")
docker_write_file("my-app", "/app/.env", "PORT=3000\n")
docker_mkdir("my-app", "/app/releases/42")
docker_list_dir("my-app", "/var/log")
docker_grep("my-app", "TODO", "/app", "*.js")
docker_exec("my-app", "ps aux")
# Commands that may require interactive input:
docker_interactive_exec("my-app", "apt-get upgrade")
docker_interactive_input(session_id="abc123", input="Y")
docker_interactive_close("abc123")
docker_cp_to("my-app", "./dist/app.tar.gz", "/app/app.tar.gz")
docker_cp_from("my-app", "/app/logs/app.log", "./app.log")Behavior Notes
docker_deleteusesrm -ffor files andrm -rfonly whenrecursive=true.docker_write_filewrites or overwrites a container file directly from text. Useappend=trueto append instead of overwrite. Parent directories are created automatically unlesscreate_dirs=false.docker_mkdiris equivalent tomkdir -pinside the container.docker_exechas a default timeout of 30 seconds and a maximum output size of 5 MiB.docker_read_imagesupports files up to 20 MiB.docker_write_fileaccepts content up to 5 MiB.docker_cp_*operations default to a 120-second timeout.All container commands run inside a non-login, non-interactive shell (
bash --noprofile --norc -c, falling back tosh -c) so broken profile scripts cannot corrupt output.docker_execalways returnsexit_code=Nalong with stdout. If stderr is present, it is included in a[stderr]section. Non-zero exit codes setisError, but stdout is still returned.Interactive sessions (TTY):
docker_interactive_execrunsdocker exec -it, allocating a pseudo-terminal so programs that require a real terminal (sudo,passwd, confirmation prompts, setup wizards, REPLs) behave correctly. The server waits until output has been quiet forquiet_ms(default: 500 ms) or the process exits, then returns the collected output along with asession_id. Continue the session usingdocker_interactive_input(leaveinputempty to simply wait for more output without sending anything). This mechanism is based on output inactivity rather than prompt detection. Commands that continuously produce output may cause the tool call to wait longer. The server allows up to 8 concurrent interactive sessions, automatically cleans up sessions after 10 minutes of inactivity, and terminates all active sessions when the server exits. Usedocker_interactive_listto view active sessions anddocker_interactive_closeto close them manually.docker_greptreats "no matches" as a successful result and still returns partial matches even if some paths cannot be read.docker_cp_toanddocker_cp_fromsupportrecursive=truefor directories. Local parent directories are created automatically when downloading. Remote parent directories must already exist before uploading (usedocker_mkdirif needed).docker_closeis a no-op because Docker does not keep a persistent connection per tool call.
Local Development
npm install
npm run check
npm test
npm startUnit tests use createMockTransport() — the same Docker contract (exec / cp / close / spawnInteractive) executed in a local sandbox, without a real container.
To test the MCP protocol, use MCP Inspector or any MCP client that supports stdio transport.
CI / Release
GitHub Actions (.github/workflows/ci.yml):
Unit test (any branch/PR) — Node 18 / 22 / 24 →
npm run check+npm run test:unitMCP test (after unit) — same Node matrix × (
nodebin |npxfromnpm pack) withMCP_DOCKER_AGENTIC_MOCK=1Push to
master— after both pass, if tagvX.Y.Zis new: create tag → publish to GitHub Packages + npmjs
Local: npm run test:all
Bump version in package.json before merging to master for a new release. Re-merging the same version skips tag/publish.
Secrets: NPM_TOKEN. GitHub Packages uses GITHUB_TOKEN (packages: write).
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/jahrulnr/mcp-docker-agentic'
If you have feedback or need assistance with the MCP directory API, please join our Discord server