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Signal Lab Apify Tools

Apify-backed MCP tools for web extraction, transcripts, market research, job data, menus, and Amazon price tracking.

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Install Signal Lab Apify Tools

Pick your client, then add it in one click or paste the config.

No confirmed install command yet

We only publish a config when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Signal Lab Apify Tools, and we’d rather show nothing than a guess you’d paste into your client.

Open setup steps on GitHub

Overview

Signal Lab Apify Tools MCP server exposes selected Apify Actors through one hosted Streamable HTTP MCP endpoint. Its tools cover Amazon price tracking, Google Autocomplete research, website-to-Markdown conversion, YouTube transcripts, Reddit searches, public job pages, and restaurant menus. Apify handles the MCP connection and authentication flow, while each Actor controls its own pricing. Reach for it when an agent needs structured public-web data without separately integrating each extraction workflow.

Use cases

  • Track Amazon product prices and price drops
  • Research buyer-intent keyword suggestions
  • Convert public websites into Markdown for RAG
  • Extract transcripts from public YouTube videos
  • Structure public job postings or restaurant menus

Key features

  • Hosted Streamable HTTP MCP endpoint
  • Amazon ASIN and price-change tracking
  • Google Autocomplete keyword research
  • Website-to-Markdown crawling
  • YouTube transcript extraction
  • Reddit, job-posting, and menu extraction

Security & health

What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.

ActiveLast checked Today

Recent health check succeeded.

7/7 checks healthy over the last 49d

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 8d ago via OSV.dev

Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

Last commit1mo agoMost recent push to the default branch.
Directory activity5 viewsConfig copies, upvotes, and views on AllMCPs.

How Signal Lab Apify Tools works

What Signal Lab Apify Tools MCP server does

Signal Lab Apify Tools MCP server routes agent requests to a focused group of Apify Actors. The available workflows cover several public-data tasks:

  • Track Amazon products by ASIN or product URL, including price history and change detection.
  • Generate Google Autocomplete suggestions for buyer-intent and country- or language-specific keyword research.
  • Convert web pages, or bounded same-domain crawls, into Markdown for RAG and LLM ingestion.
  • Retrieve public YouTube captions with timestamps and related metadata.
  • Search Reddit posts and comments.
  • Extract structured fields from public job-posting URLs.
  • Collect restaurant menu items, prices, sections, and descriptions.

The job-posting workflow is designed for known public vacancy URLs rather than broad job-board discovery. Likewise, the other tools operate through the corresponding Actors and their defined inputs and outputs.

How it works

Signal Lab Apify Tools MCP server is published in the Official Model Context Protocol Registry under io.github.VZezelin/signal-lab-apify-tools. A client connects to Apify's hosted Streamable HTTP endpoint with the selected tool list in the URL:

https://mcp.apify.com?tools=signal_lab/amazon-price-tracker,signal_lab/google-autocomplete-keywords,signal_lab/website-to-markdown-crawler,signal_lab/youtube-transcript-scraper,signal_lab/reddit-search-comments,signal_lab/job-vacancy-scraper,signal_lab/restaurant-menu-extractor

Apify manages the MCP connection and authentication flow. Each request is handled by the relevant Actor, so input fields and output behavior depend on that Actor. For direct automation, the repository also documents Apify API calls using an Apify bearer token and run-specific JSON inputs.

Setup and configuration

Configure an MCP client with the hosted URL above and a server name such as signal-lab. The endpoint already identifies the seven published tools, so a local package installation is not required for the registered MCP connection.

For direct API use, authenticate requests with an Apify token. The repository also offers a portable Agent Skill, but installing that skill does not provide Apify credentials.

Tools and capabilities

The tool bundle supports focused public-data workflows rather than a general-purpose crawler. Website extraction can return headings, links, metadata, and structured page content, with options such as maximum pages, crawl depth, domain limits, sitemap use, and robots.txt handling. Amazon runs can be scheduled on Apify and connected to webhooks, Make, or n8n for alerts.

The Google tool supports commercial modifiers such as cost, pricing, free, alternative, and API, along with language and country settings. Job extraction can return title, company, location, salary and currency when present, employment type, dates, source URL, and page-provided JobPosting metadata. Missing source fields are not fabricated.

Limitations and notes

Signal Lab Apify Tools MCP server depends on Apify's hosted endpoint and the pricing of the individual Actors. Pricing may change, so the live Pricing tab for each Actor is the source of truth. The job scraper does not claim to search every job board or bypass login walls, and its results depend on fields exposed by the public page. The repository's custom-solution request path is available when the listed Actors do not match a required public-data workflow.

Read the full README View source on GitHub

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Frequently Asked Questions about Signal Lab Apify Tools

Add the registered hosted Streamable HTTP URL to an MCP client; a local package installation is not required for this connection.

It provides Apify-backed workflows for Amazon prices, Google Autocomplete, website Markdown, YouTube transcripts, Reddit research, public job postings, and restaurant menus.

Apify handles the MCP authentication flow, and direct API examples use an Apify bearer token. Installing the related Agent Skill does not supply credentials.

No such capability is claimed. The job workflow uses public vacancy URLs and does not claim to bypass login walls.

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