actors-mcp-server
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- AlicenseAqualityAmaintenance35 public-data MCP tools with optional focused profiles for business leads, market intelligence, government records, and research/health. Includes Maps, jobs, SEC filings, grants, sanctions and more. Runs use your own Apify account and are billed there. Structured results and deterministic errors.40MIT
- AlicenseAqualityAmaintenance21 web-data tools for AI agents: jobs, hiring signals, news, research and field trends, reviews, Reddit leads, contacts, property, Shopify, events.38511 npm1MIT
- AlicenseNot gradedqualityDmaintenanceEnables web scraping, browser automation, and dataset management through Apify's actor platform.MIT
- AlicenseNot gradedqualityNot gradedmaintenanceExposes over 19,000 Apify Actors as MCP tools for web scraping, data extraction, and OSINT automation. It enables AI agents to dynamically discover and execute scrapers to collect structured data and crawl web content.MIT

honestkit-mcpofficial
AlicenseNot gradedqualityBmaintenanceEnables AI agents to access fourteen web-data tools for scraping, SEO and site auditing, extraction, validation, enrichment, and screenshots through Apify actors. It runs those tools on the user's own Apify account via an API token.MIT- AlicenseNot gradedqualityDmaintenanceConnects AI assistants to thousands of Apify Actors for web scraping, data extraction, and automation tasks, with dynamic tool discovery to find and use any Actor from the Apify Store in real time.32,269 npmMIT
TDQS
Scored across 12 tools
Most tools target clearly distinct resources/actions (search-actors vs fetch-actor-details, get-dataset-items vs get-key-value-store-record, search-apify-docs vs fetch-apify-docs). The main overlap is within the Actor introspection family (fetch-actor-details, fetch-actor-mcp-tool-list, call-actor-mcp-tool) and between search-actors and fetch-actor-details, where search results already include input fields — but descriptions clarify each purpose.
All names use kebab-case with a verb-first pattern (search-, fetch-, get-, call-, abort-, report-). The convention is fully predicable and readable across all 12 tools.
12 tools is well-scoped for a scraping platform covering discovery, execution, monitoring, storage retrieval, MCP, docs, and feedback. Each tool maps to a distinct capability in the workflow.
The core lifecycle (search → inspect → run → poll/abort → retrieve dataset/KV output) is fully covered, plus docs and MCP support. Minor gaps exist: no list-actor-runs, list-datasets, or log retrieval, so agents must rely on IDs returned from prior calls rather than enumerating resources.