High Risk →

api

Makes arbitrary GitHub API calls via

How to control api ↓

What api does on Lint

AI agents invoke api to trigger actions in Lint. 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.

High Risk

Why api needs a policy

The tool executes arbitrary GitHub API calls, which can span a wide range of operations including reading, writing, and potentially destructive actions (e.g., deleting repos, branches, or issues). Because the scope is arbitrary and unconstrained, it must be classified at the most severe applicable level.

From the tool's definition Makes arbitrary GitHub API calls via

Documented attack patterns abuse exactly the kind of access api gives an agent:

How to control api

PolicyLayer is an MCP gateway — it sits between your AI agents and Lint, and nothing reaches the server without passing your rules. This is the rule we recommend for api:

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

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.

  1. Create a free account and register Lint — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about api

What does the api tool do? +

Makes arbitrary GitHub API calls via. It is categorised as a Execute tool in the Lint 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 Lint 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 Lint. 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 Lint MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Lint tool call.

Start from Lint, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

202 Lint tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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