actors-mcp-server
OfficialRelated Servers
Alternatives to actors-mcp-server
No user-submitted related servers found.
Related Servers
- 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
- 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 gradedqualityCmaintenanceEnables 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.27,121 npmMIT
- AlicenseAqualityBmaintenanceEnables AI agents and assistants to extract data from social media, search engines, maps, e-commerce sites, and any other website by running thousands of ready-made scrapers, crawlers, and automation tools as callable tools, with OAuth-based connection and optional agentic payments.1127,121 npm2MIT
TDQS
Scored across 10 tools
Tools have distinct purposes: search-actors for discovery, fetch-actor-details for info, call-actor for execution, and specific storage retrieval tools. However, some overlap exists between get-actor-run and get-dataset-items/get-key-value-store-record in terms of accessing run outputs, though descriptions clarify the distinction.
Most tools follow a verb_noun pattern (e.g., search-actors, call-actor, get-dataset-items), which is consistent. Minor inconsistencies like 'report-problem' use a different structure, but overall the naming is predictable and readable.
With 10 tools, the set is well-scoped for the domain of interacting with Apify Actors, stores, and documentation. It covers discovery, execution, monitoring, and result retrieval without unnecessary bloat.
The surface covers key lifecycle operations: searching, detailing, calling, aborting, and retrieving results from runs, datasets, and key-value stores. However, it lacks tools for listing all runs or managing Actors (e.g., update, delete), though these are less critical for the primary use cases.