Article Content Extractor for AI Agents

Name: Article Content Extractor for AI Agents
Author: industrial-platform-ai

作者：industrial-platform-ai版本 1.0.2i★ –i在云端运行

注册名称io.github.industrial-platform-ai/article-extractor

安装

概览

作者提供的说明（英文原文）

x402 clean article text and metadata for AI/RAG. $0.002 per successful article.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数：意见、测量和人气是不同的东西。

用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
我们的基础检查i3 项中通过 3 项依据公开信息检查；尚未扫描代码
使用情况i非常新★ –

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

连接方式: 在云端运行
传输方式: Streamable HTTP
分类: 搜索与 AI 记忆

安装

选择你使用的 AI 应用，然后复制设置。

安装之前

基础检查：3 项中通过 3 项
在作者的服务器上运行：你向它提出的内容会经过他们的服务器。
可以做 5 件事（工具） get-actor-run, get-dataset-items, get-key-value-store-record, abort-actor-run …
注册中心没有列出需要填写的密钥。

你需要

在云端运行无需安装任何东西，通过互联网连接

你用的是哪个应用？

ClaudeClaude CodeCursorVS CodeChatGPT

在上方选择你的应用。我们会记住它，下次按钮会显示“安装到 …”。

适用于网页版、桌面版和手机版 Claude：

打开 Settings → Connectors
点击 Add custom connector
粘贴下面的地址，然后点击 Add
如果要求登录，请登录作者的服务

https://mcp.apify.com?tools=industrial_platform/article-content-intelligence&payment=x402

在终端中运行这条命令

claude mcp add --transport http article-extractor 'https://mcp.apify.com?tools=industrial_platform/article-content-intelligence&payment=x402'

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json，或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "article-extractor": {
      "url": "https://mcp.apify.com?tools=industrial_platform/article-content-intelligence&payment=x402"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "article-extractor": {
      "type": "http",
      "url": "https://mcp.apify.com?tools=industrial_platform/article-content-intelligence&payment=x402"
    }
  }
}

浏览器会先询问是否打开应用，然后应用会显示设置并请你确认。密钥的值会留空，由你自己填写。

ChatGPT 只能连接互联网上的服务器：

打开网页版 ChatGPT → Settings → Connectors (Apps)
点击 Create 或 Add（部分套餐需要先在 Advanced 中开启 Developer mode）
粘贴下面的地址，起个名字，然后保存
如果要求登录，请登录作者的服务

https://mcp.apify.com?tools=industrial_platform/article-content-intelligence&payment=x402

菜单名称可能因套餐和版本不同而略有差异。

你的选择通过 Cookie 保存在这台设备上，无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同，请以 README 为准。

它能做什么

工具名称和描述与服务器在 2026年11月8日报告的完全一致。这些内容由作者撰写，不是我们写的；我们以纯文本形式显示。

get-actor-run
Get detailed information about a specific Actor run. Returns run result: status, storages (datasets/keyValueStores alias map), stats, summary, nextStep. - summary describes the past (e.g. "SUCCEEDED in 22s. 47 items; 3 fields available."). - nextStep prescribes one primary follow
get-dataset-items
Get items (rows) from a dataset — the output/results produced by an Actor run. Returns the rows themselves, not dataset metadata, counts, or a schema. When the user provides a datasetId and asks to retrieve results, output, data, or rows, call this tool directly. Default limit is
get-key-value-store-record
Get the value stored under a specific key in a key-value store — a single record, not a listing of all keys. Requires the exact key name. The response preserves the original Content-Encoding; most clients handle decompression automatically. USAGE: - Use when you need to retrieve
abort-actor-run
Abort an Actor run that is currently starting or running. For runs with status SUCCEEDED, FAILED, ABORTING, ABORTED, or TIMED-OUT, this call has no effect. The results will include the updated run details after the abort request. USAGE: - Use when you need to stop a run that is t
industrial_platform--article-content-intelligence
This tool calls the Actor "industrial_platform/article-content-intelligence" and retrieves its output results. Actor description: Extract clean article text and metadata. Price: $0.002 per successful article. This tool requires an x402 payment. Include a valid x402 payment signat

基础检查i

我们检查的是任何人都能看到的信息；我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月10日

✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 industrial-platform-ai 验证，该账户拥有此仓库
… 尚未检查
仍在维护
我们还没有从 GitHub 读取这个仓库
… 尚未检查
有许可证
我们还没有从 GitHub 读取这个仓库
✓ 通过
端点有响应
在 83 毫秒内响应（HTTP 200）
– 不适用
使用 OAuth 登录
无需登录
✓ 通过
工具描述中没有隐藏指令
已读取 5 个工具描述，未发现针对 AI 的隐藏指令

与“搜索与 AI 记忆”中的其他服务器比较i

星标数多于此分类中其他 5832 个服务器的 0%
发布到注册中心的时间比此分类中其他 5832 个服务器的 49% 更新
基础检查结果等于或优于此分类中其他 5832 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时，星标数才计入。

常见问题

Article Content Extractor for AI Agents 安全吗？

它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前，请先看看这个服务器要求哪些权限，并使用只具备所需权限的密钥。

它需要哪些密钥或代码？

注册中心没有列出必需的密钥，不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端？

它在作者的云端运行。通过互联网连接，无需安装，但你发送的内容会经过作者的服务器。

它还在维护吗？

GitHub 仓库最后更新于–，最新版本（1.0.2）于41天前进入注册中心。

哪些应用可以使用它？

支持 MCP 的应用，例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接，所以接受远程 MCP 服务器的应用也可以使用，例如开启开发者模式的 ChatGPT。

有什么可以替代它？

同一分类中有：Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器，按星标数排序。

如何看卡片：↓ 每周下载量i★ GitHub 星标i三大支柱：评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

Up-to-date docs for AI agents

作者：upstash广泛使用↓ 97.3万/周★ 6.4万今天更新

电脑或云端

安装

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

作者：DeusData广泛使用↓ 1.8万/周★ 4.8万23天前更新

在你的电脑上运行

安装

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

作者：exa-labs广泛使用★ 52132个月前更新

在云端运行✓ exa.ai

安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Industrial Platform Agent Tools

Network trust governance

Industrial Platform uses the Industrial Platform Trust Protocol (IPTP) to separate Base USDC settlement, optional wallet-control verification, independent commercial attribution, and demand-gated factory activation. Identity verification is never a prerequisite to an ordinary x402 purchase. Current implementation is partial; see the protocol for evidence and enforcement boundaries.

Direct recurring x402 MCP

For recurring autonomous workloads, use the direct x402-native MCP first:

https://x402-mcp-gateway-production.up.railway.app/mcp

Literal recurring tool names are optimized for auto-import and delegation:

monitor_wallet, transaction_status, watch_transaction, treasury_snapshot, pretrade_context, crypto_candles, crypto_price, crypto_book, market_snapshot, and monitor_webpage_change.

These map to the same canonical paid HTTP workloads, so importer compatibility increases without splitting HTTP settlement history across duplicate routes.

Open-source integration toolkit for connecting AI agents, MCP clients, autonomous workflows, agent orchestrators, and developer applications to Industrial Platform machine-callable services.

Industrial Platform provides specialized paid utilities that other agents can discover and invoke instead of rebuilding research, monitoring, extraction, and document-processing capabilities inside every workflow.

Install in your agent IDE

For the lowest-friction recurring workflow, install Web Metadata + Web Change first. Both currently complete in about 3 seconds median and cost $0.01 per successful unit.

Cursor: one-click install
VS Code / GitHub Copilot: one-click install
GitHub Copilot CLI: copilot mcp add --transport http industrial-platform-fast-web 'https://mcp.apify.com?tools=industrial_platform/web-metadata-intelligence,industrial_platform/web-change-intelligence&payment=x402'
Claude Code: claude mcp add --transport http industrial-platform-fast-web 'https://mcp.apify.com?tools=industrial_platform/web-metadata-intelligence,industrial_platform/web-change-intelligence&payment=x402'
Cline: cline mcp install industrial-platform-fast-web --transport http 'https://mcp.apify.com?tools=industrial_platform/web-metadata-intelligence,industrial_platform/web-change-intelligence&payment=x402'

See INSTALL.md for the full installer matrix, recurring-use patterns, and the full portfolio endpoint.

One MCP endpoint for the full portfolio

https://mcp.apify.com?tools=industrial_platform/research-brief-agent,industrial_platform/web-change-intelligence,industrial_platform/web-metadata-intelligence,industrial_platform/article-content-intelligence,industrial_platform/pdf-text-intelligence,industrial_platform/sitemap-intelligence&payment=x402

This hosted MCP endpoint exposes the six currently runnable Industrial Platform services through one direct x402 integration. Tool discovery is free; autonomous callers pay only when invoking a paid Actor.

Current services

Service	Actor	Primary purpose	Billing event	Current price
AI Research Brief	`industrial_platform/research-brief-agent`	Current, cited multi-source research	`research-brief-completed`	$1.99
Web Change Intelligence	`industrial_platform/web-change-intelligence`	Detect deterministic changes in public web content	`page-comparison`	$0.01
Web Metadata Intelligence	`industrial_platform/web-metadata-intelligence`	Extract page metadata, OG/Twitter, JSON-LD, headings	`metadata-extraction`	$0.01
Article Content Intelligence	`industrial_platform/article-content-intelligence`	Extract clean article text for RAG/research pipelines	`article-extraction`	$0.002
PDF Text Intelligence	`industrial_platform/pdf-text-intelligence`	Extract PDF text, per-page text, and metadata	`pdf-extraction`	$0.0015
Sitemap Intelligence	`industrial_platform/sitemap-intelligence`	Discover and expand sitemaps into clean URL rows	`sitemap-url`	$0.0001

Live pricing and execution eligibility should be verified against Apify Store before paid execution.

Official MCP Registry

Industrial Platform is published in the official MCP Registry as:

io.github.industrial-platform-ai/industrial-platform

Registry publication is automated on merge.

The Registry listing points to the same hosted six-service Apify MCP bundle used by this repository.

Individual MCP Registry entries

For search-oriented discovery, each paid service also has its own active MCP Registry entry:

Service	MCP Registry name
Research Brief	`io.github.industrial-platform-ai/research-brief`
Web Change	`io.github.industrial-platform-ai/web-change`
Web Metadata	`io.github.industrial-platform-ai/web-metadata`
Article Extractor	`io.github.industrial-platform-ai/article-extractor`
PDF Text	`io.github.industrial-platform-ai/pdf-text`
Sitemap	`io.github.industrial-platform-ai/sitemap`

These individual entries point to the same Apify-hosted Actor tools as the portfolio bundle and improve discovery for capability-specific MCP searches.

Machine-readable discovery

The repository publishes:

catalog.json

manifests/mcp-bundle.json examples/mcp/remote-server.json

Service catalog

catalog.json is the portfolio-level machine-readable catalog. It contains Actor IDs, Store URLs, billing events, current prices, and common delegation targets.

MCP bundle manifest

manifests/mcp-bundle.json defines the hosted MCP endpoint and the Actors included in the bundle.

MCP client configuration

examples/mcp/remote-server.json can be used as a starting point for MCP clients that accept remote server configuration.

Direct x402 framework integrations

Industrial Platform also exposes a direct Base x402 gateway for autonomous callers that do not need the Apify MCP layer:

https://x402-gateway-production-1f21.up.railway.app

Machine-readable discovery:

https://x402-gateway-production-1f21.up.railway.app/.well-known/x402

https://x402-gateway-production-1f21.up.railway.app/openapi.json https://x402-gateway-production-1f21.up.railway.app/llms.txt

Direct x402-native MCP:

https://x402-mcp-gateway-production.up.railway.app/mcp

The MCP server exposes the same paid tool catalog over Streamable HTTP and performs x402 negotiation at tool-call time. Tool discovery is free; a caller wallet signs the advertised Base USDC requirement when it invokes a paid tool.

Ready-to-copy adapters and workflows are included for:

Minimal official x402 caller — official x402 client, automatic 402 → payment → retry, with a hard per-payment ceiling
Coinbase AgentKit — Base wallet + AgentKit's native x402 provider, including a dry-run-by-default 1-atomic-USDC clean-room canary
ElizaOS — native @elizaos/plugin-wallet x402 client with explicit budget controls and payment disabled by default
LangChain / LangGraph
CrewAI
LlamaIndex
SEO crawler workflow
Crypto intelligence workflow

The examples use the caller's own funded Base wallet, negotiate x402 automatically, and preserve framework-level tool choice rather than forcing Industrial Platform calls.

Agent-to-agent paid quick start

npm install -g @apify/mcpc

mcpc x402 init mcpc connect "https://mcp.apify.com?tools=industrial_platform/research-brief-agent,industrial_platform/web-change-intelligence,industrial_platform/web-metadata-intelligence,industrial_platform/article-content-intelligence,industrial_platform/pdf-text-intelligence,industrial_platform/sitemap-intelligence&payment=x402" @industrial-platform --x402 mcpc @industrial-platform tools-list

Fund the generated wallet with USDC on Base before paid calls. Product #7 (Link Intelligence) is not included here until its public/agentic publication is confirmed.

Quick start

MCP

Configure one remote MCP server:

"mcpServers": { "industrial-platform": { "url": "https://mcp.apify.com?tools=industrial_platform/research-brief-agent,industrial_platform/web-change-intelligence,industrial_platform/web-metadata-intelligence,industrial_platform/article-content-intelligence,industrial_platform/pdf-text-intelligence" } } }

Compatible clients can then discover the exposed Actor tools from that server.

REST / Apify API

Every service can also be invoked directly through Apify's Actor API.

General Actor identifier form:

industrial_platform~ACTOR-NAME

Example:

industrial_platform~pdf-text-intelligence

Do not commit API tokens, wallet credentials, secrets, or private keys to this repository.

When should an agent delegate?

A calling agent should prefer a specialized Industrial Platform service when delegation is cheaper, simpler, or operationally safer than rebuilding the capability internally.

Examples:

Need current multi-source research with citations

→ research-brief-agent

Need to know whether a monitored page changed

→ web-change-intelligence

Need Open Graph, JSON-LD, canonical, robots, and headings

→ web-metadata-intelligence

Need clean article text for a RAG or research pipeline

→ article-content-intelligence

Need text and metadata from a public PDF

→ pdf-text-intelligence

Portfolio architecture

developer / agent / orchestrator

↓ Industrial Platform MCP ↓ specialized machine service ↓ structured result / event ↓ calling system continues workflow

Execution and monetization currently run through Apify.

Authentication and machine payments

Paid execution requires a supported authenticated or agentic-payment path.

Depending on the integration, this may use:

Apify OAuth
Apify API tokens
Apify-supported agentic payment infrastructure

Store eligibility and pricing can change. Calling systems should inspect current Actor metadata before executing paid services.

Repository structure

industrial-platform-agent-tools/

│ ├── README.md ├── catalog.json ├── AUTONOMOUS_REVENUE_INITIATIVE.md │ ├── actors/ │ ├── web-change-intelligence/ │ ├── web-metadata-intelligence/ │ ├── article-content-intelligence/ │ ├── pdf-text-intelligence/ │ ├── sitemap-intelligence/ │ └── link-intelligence/ │ ├── packages/ │ ├── research-mcp/ │ └── change-mcp/ │ ├── manifests/ │ └── mcp-bundle.json │ ├── examples/ │ ├── mcp/ │ ├── curl/ │ ├── python/ │ ├── javascript/ │ ├── openai-agents/ │ └── microsoft-agent-framework/ │ └── scripts/ └── apify/

Revenue initiative

The repository contains automation for:

testing and deployment
Apify runtime configuration
pay-per-event pricing
Store / agentic-payment eligibility
external paid-event telemetry
mileston

只显示了开头部分；其余内容请在仓库中阅读