api

Makes arbitrary GitHub API calls via

SERVERDocker SOURCE@paretools/docker

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/io-github-dave-london-docker/api.md

WHAT IT DOES

What api does on Docker

AI agents invoke api to trigger actions in Docker. 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.

RISK

Why api is rated High

An 'arbitrary' API call tool can span all HTTP methods (GET, POST, PUT, DELETE, PATCH) against GitHub's API. This means it could read data, create resources, modify repos, delete branches, manage webhooks, and more. Since it can trigger destructive or high-impact operations depending on arguments, Execute is the most appropriate category (with Destructive being possible).

From the tool's definition 'Makes arbitrary GitHub API calls' — the word 'arbitrary' indicates the tool can perform any GitHub API operation, including writes, deletions, and administrative actions, not just reads.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs api safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Docker, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For api, this is the rule to start with:

api Rate-limited

api stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "api": {
      "limits": [
        {
          "counter": "api_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Docker, apply this rule, and every api call is checked against it from then on.

FAQ

Questions about api

What does the api tool do? +

Makes arbitrary GitHub API calls via. It is categorised as a Execute tool in the Docker MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on api? +

Register the Docker MCP server in PolicyLayer and add a rule for api: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Docker. Nothing to install.

What risk level is api? +

api is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit api? +

Yes. Add a rate_limit block to the api rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block api completely? +

Set action: deny in the PolicyLayer policy for api. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides api? +

api is provided by the Docker MCP server (@paretools/docker). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

More on Docker, and thousands of servers like it.

This server

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Guides

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