http_client

A execute tool on the GadgetHumans API Hub MCP server.

SERVERGadgetHumans API Hub SOURCEpypi:gadgethumans-api-hub-mcp

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-scotia1973-bot-api-hub/http-client.md

WHAT IT DOES

What http_client does on GadgetHumans API Hub

AI agents invoke http_client to trigger actions in GadgetHumans API Hub. 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 http_client is rated High

An HTTP client tool that can make requests to arbitrary URLs is an Execute-category tool — it triggers external operations whose effects depend on arguments. It could be used to send requests to any endpoint, potentially causing side effects on external systems (POST, PUT, DELETE requests, etc.). The severity is high because misuse could result in unintended external operations.

From the tool's definition Tool name 'http_client' with empty description. The name strongly implies making arbitrary HTTP requests to external URLs/endpoints.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs http_client safely

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

http_client Rate-limited

http_client 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": {
    "http_client": {
      "limits": [
        {
          "counter": "http_client_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 GadgetHumans API Hub, apply this rule, and every http_client call is checked against it from then on.

FAQ

Questions about http_client

What does the http_client tool do? +

http_client is a execute tool on the GadgetHumans API Hub MCP server. It is categorised as a Execute tool in the GadgetHumans API Hub MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on http_client? +

Register the GadgetHumans API Hub MCP server in PolicyLayer and add a rule for http_client: 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 GadgetHumans API Hub. Nothing to install.

What risk level is http_client? +

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

Can I rate-limit http_client? +

Yes. Add a rate_limit block to the http_client 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 http_client completely? +

Set action: deny in the PolicyLayer policy for http_client. 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 http_client? +

http_client is provided by the GadgetHumans API Hub MCP server (pypi:gadgethumans-api-hub-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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Guides

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