Field-by-field comparison

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MCPs in this comparison

AgentRQApify MCP Server

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Comparable alternatives

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Side-by-side MCP evidence comparison
Evidence field	AgentRQWatchlist candidate	Apify MCP ServerMCP100 Selected
Task fit
Best for	Coordinating workspace tasks, agent status updates, permission requests, and human-agent communication through AgentRQ	Running Apify Store Actors and retrieving their datasets through a hosted or local MCP connection
Not ideal for	A lightweight standalone MCP server without a frontend, persistent database, authentication, and deployment responsibilities	Simple page retrieval that does not justify an Apify account, Actor selection, and usage-based execution
Avoid when	You cannot protect workspace tokens, Google OAuth credentials, task content, and the persistent AgentRQ deployment	The target site's terms, privacy requirements, or your organization prohibit the proposed extraction
Provenance
Provenance details	Community implementation github:agentrq · Publisher source ↗	Community implementation com.apify · Publisher source ↗
Maintenance
Maintenance details	Repo: Aug 8, 2026 Package: Not documented	Repo: Aug 14, 2026 Package: Not documented
Popularity evidence
GitHub stars	1,069 GitHub stars · checked 2026-08-14T18:46:26.000Z	3,664 GitHub stars · checked 2026-08-14T18:46:26.000Z
External adoption evidence	github: repository stars: 1,069Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗	github: repository stars: 3,664Exact attributable signal.github: repository stars · Admission snapshot · checked 2026-08-14T18:46:26.000ZEvidence source ↗
Client coverage
Client coverage details	Claude Code✓ Streamable HTTP Claude Desktop✓ Streamable HTTP Codex✓ Streamable HTTP VS Code✓ Streamable HTTP Cursor✓ Streamable HTTP OpenCode✓ Streamable HTTP	Claude Code✓ Streamable HTTP Claude Desktop✓ Streamable HTTP Codex✓ Streamable HTTP VS Code✓ Streamable HTTP Cursor✓ Streamable HTTP OpenCode✓ Streamable HTTP
Client coverage note	Local stdio runs on your computer. Streamable HTTP connects to a remotely hosted MCP server.
Access and data
Authentication	The self-hosted architecture documents Google OAuth2 and JWT. Workspace MCP uses a token, while Supervisor and CoreMCP use OAuth2.	Hosted mode supports OAuth or Authorization Bearer APIFY_TOKEN; local stdio uses APIFY_TOKEN. Discovery tools can be unauthenticated, and agentic payment tokens are additional alternatives.
Cost	No project or service pricing is documented. Hosting, identity-provider, client, and model costs can still apply.	Actor and platform usage is chargeable according to Actor pricing; even free Actors incur platform usage. x402, Skyfire, and AGI payment paths are documented; no fixed MCP fee is stated.
Permissions	Workspace tools create and update tasks, statuses, assignments, replies, conversations, and attachments. Supervisor tools have broader workspace, task, schedule, assignment, messaging, permission-verdict, and attachment scope.	Dynamically exposes Apify Actors, including web, social, maps, and e-commerce scrapers, plus run, dataset, key-value-store, and documentation tools. call-actor executes external Actors.
Data handling	Uses user-scoped SQLite storage for workspace and task state, conversations, messages, and attachments. SSE notifications and token-bearing workspace URLs are documented; retention and telemetry are not documented.	Requests and Actor inputs are sent to Apify; run results can be stored in Apify datasets and key-value stores. Telemetry is enabled by default and stdio uses Sentry; detailed retention is not documented.
Limitations
Tradeoffs	A synchronized workspace improves oversight, while self-hosting adds application, authentication, database, and token-management overhead.	Thousands of Actors broaden coverage, but each Actor has its own inputs and trust surface and Apify compute or proxy usage may incur charges.
Risk context	Task, communication, attachment, and Supervisor administration can have broad organizational impact. Treat token-bearing URLs as secrets, separate Supervisor credentials, and review the different authorization scopes before deployment.	Actor execution can scrape external sites, process personal or regulated data, incur spend, and return untrusted content. Restrict tools, use scoped tokens, review Actor pricing and terms, and control telemetry and storage.
Evidence date
Editorial review	2026-08-11	2026-08-11
Candidate evidence	2026-08-14T18:46:26.000Z	2026-08-14T18:46:26.000Z

Popularity, maintenance, fit, permissions, and client support are independent evidence fields.

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