You can access the MCP README Heading Audit programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

$echo '{
<  "sourceMode": "startUrls",
<  "outputMode": "buyer-ready-records",
<  "toolId": "",
<  "sourceIds": [],
<  "toolManifest": "",
<  "declaredPermissions": [],
<  "dataHandlingSummary": "",
<  "logSummary": "",
<  "sortBy": "risk-priority",
<  "includeSourceUrls": true,
<  "includeMatchReasons": true,
<  "includeChangeHints": false,
<  "buyerQuery": "",
<  "taskIntent": "",
<  "startUrls": [
<    {
<      "url": "https://raw.githubusercontent.com/modelcontextprotocol/servers/refs/heads/main/README.md"
<    }
<  ]
<}' |
<apify call zentrafoundry/agent-tool-risk-audit --silent --output-dataset

MCP README headings — human-review labels API through CLI

The Apify CLI is the official tool that allows you to use MCP README Heading Audit locally, providing convenience functions and automatic retries on errors.

Install Apify CLI

Using installation script (macOS/Linux):

$curl -fsSL https://apify.com/install-cli.sh | bash

Using installation script (Windows):

$irm https://apify.com/install-cli.ps1 | iex

Using Homebrew:

$brew install apify-cli

Using npm:

$npm install -g apify-cli

Other API clients include:

MCP README Heading Audit API in Python

MCP README Heading Audit API in JavaScript

MCP README Heading Audit OpenAPI definition

MCP README Heading Audit API

Actor Readme Generator

apify/actor-readme-generator

An AI agent that can generate a README for scrapers based on an Apify-approved template.

Apify

216

4.1

(8)

Cloudflare Status Incident Snapshot

zentrafoundry/zentra-actor-flight-recorder

Cloudflare Status incidents (title + status). Not a runtime flight recorder of your Actor. $0.01.

Zentra

OpenAI Agent MCP Tester

jiri.spilka/openai-agent-mcp-tester

Automated Model Context Protocol (MCP) server testing and evaluation tool using openai-agents SDK. Connects to multiple MCP servers via HTTP streaming, tests available tools using AI agents, and generates detailed reports with pass/fail status for each server. Supports custom authentication headers