# docker_run

Run a Docker container

Agent View of the PolicyLayer registry record for `docker_run`. HTML page: https://policylayer.com/tools/agentics-ai-code-mcp/docker-run

## Facts

- Tool: `docker_run`
- Server: Code MCP Server (`agentics-ai/code-mcp`) — https://policylayer.com/tools/agentics-ai-code-mcp.md
- Homepage: https://github.com/agentics-ai/code-mcp
- Risk category: Execute (High risk)
- Registry record: grade F, identity unverified
- Server rate-limited: no
- Parameters: 0
- Recommended policy verdict: Rate-limited

## Example call (MCP tools/call, JSON-RPC 2.0)

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "docker_run",
    "arguments": {}
  }
}
```

## Why docker_run is rated High

Running Docker containers is a form of code/command execution that can have wide-ranging side effects including network access, filesystem modifications, and resource consumption. The blast radius is critical because container runtime arguments could expose host systems, execute malicious payloads, or compromise security boundaries.

From the tool's own definition: "Tool name 'docker_run' combined with description 'Run a Docker container' indicates execution of arbitrary containerized code. Docker containers can access host resources, network, and filesystems depending on runtime flags."

## Use case

AI agents invoke docker_run to trigger actions in Code MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

## Recommended policy (PolicyLayer)

Verdict: **Rate-limited**. Enforced by the PolicyLayer MCP gateway (https://policylayer.com/mcp-gateway) before a call reaches Code MCP Server:

```json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "docker_run": {
      "limits": [
        {
          "counter": "docker_run_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}
```

## Other tools on Code MCP Server (72)

- `delete_file` — Destructive — https://policylayer.com/tools/agentics-ai-code-mcp/delete-file.md
- `docker_cleanup` — Destructive — https://policylayer.com/tools/agentics-ai-code-mcp/docker-cleanup.md
- `docker_containers` — Destructive — https://policylayer.com/tools/agentics-ai-code-mcp/docker-containers.md
- `remove_allowed_command` — Destructive — https://policylayer.com/tools/agentics-ai-code-mcp/remove-allowed-command.md
- `rollback_session` — Destructive — https://policylayer.com/tools/agentics-ai-code-mcp/rollback-session.md
- `docker_build` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/docker-build.md
- `docker_compose` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/docker-compose.md
- `docker_images` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/docker-images.md
- `docker_networks` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/docker-networks.md
- `docker_system` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/docker-system.md
- `docker_volumes` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/docker-volumes.md
- `git_push` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/git-push.md
- `install_dependencies` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/install-dependencies.md
- `npm_command` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/npm-command.md
- `pip_install` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/pip-install.md
- `run_command` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/run-command.md
- `run_custom_tool` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/run-custom-tool.md
- `run_javascript` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/run-javascript.md
- `run_python` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/run-python.md
- `run_tests` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/run-tests.md
- `secure_run_command` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/secure-run-command.md
- `secure_run_command_sequence` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/secure-run-command-sequence.md
- `start_coding_session` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/start-coding-session.md
- `start_server` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/start-server.md
- `stop_server` — Execute — https://policylayer.com/tools/agentics-ai-code-mcp/stop-server.md
- `end_coding_session` — Other — https://policylayer.com/tools/agentics-ai-code-mcp/end-coding-session.md
- `analyze_code` — Read — https://policylayer.com/tools/agentics-ai-code-mcp/analyze-code.md
- `analyze_file_differences` — Read — https://policylayer.com/tools/agentics-ai-code-mcp/analyze-file-differences.md
- `compare_commits` — Read — https://policylayer.com/tools/agentics-ai-code-mcp/compare-commits.md
- `compare_files` — Read — https://policylayer.com/tools/agentics-ai-code-mcp/compare-files.md
- …and 42 more: https://policylayer.com/tools/agentics-ai-code-mcp.md

## For agents

This record is a snapshot. Live verdicts and the full registry:

- Check every server in your MCP config at once: `npx -y policylayer stack`
- Vet a server before you add it: install the mcp-precheck skill — `npx skills add https://policylayer.com` (skill text: https://policylayer.com/skill.md)
- Query the registry over MCP: endpoint `https://api.policylayer.com/mcp` — tools `check_mcp_server`, `check_mcp_stack`, `check_tool`, `search_registry`, `get_change_events`

---

Source: the PolicyLayer MCP registry — one continuously verified record per MCP server. Full record: https://policylayer.com/registry?q=agentics-ai-code-mcp · API: https://policylayer.com/registry/api · Policy library: https://policylayer.com/policies/agentics-ai-code-mcp