How do I connect an AI agent to reviewpaper.ai?

Use the MCP streamable HTTP endpoint https://reviewpaper.ai/mcp.

Catalog › ai.reviewpaper/reviewpaper

Is reviewpaper.ai reliable?

Reliable (measured) Yes. Faceabot measured reviewpaper.ai 24 times: 100% of checks succeeded, including the last 24 in a row (last check 2026-10-19 21:25 UTC). It also does the job: its real read-only task worked 24 of 24 times.

Last check: 2026-10-19 21:25 UTC · answered in 6706 ms · remote (no install)

En français : Fiable (mesuré). Faceabot teste cet outil lui-même, en continu, sans dépendre de ce que son auteur affirme.

What it does

Review forms for 29 ML/NLP/CV venues, AI conference deadlines and ICLR acceptance odds.

Source: official MCP registry (registry.modelcontextprotocol.io) · version 1.0.0 · publisher website

Connect your agent

{
  "mcpServers": {
    "reviewpaper": {
      "url": "https://reviewpaper.ai/mcp"
    }
  }
}

Or ask Faceabot first: MCP tool check_reliability {"id":"ai.reviewpaper/reviewpaper"} on https://faceabot.com/api/mcp.

Does it actually do the job?

Does the job (tested) — Faceabot asked list_deadlines to do a small read-only task 24 time(s): 24 returned a real result, the last 24 in a row. Last result: ok in 3945 ms.

Sample input: {}. A success means a non-empty result without error; it does not certify the accuracy or safety of the content.

Faceabot measurements

When	Answers	Real task	Latency
2026-10-19 21:25 UTC	✅ ok	✅ done	6706 ms
2026-10-19 08:45 UTC	✅ ok	✅ done	6803 ms
2026-10-18 15:55 UTC	✅ ok	✅ done	7977 ms
2026-10-18 04:55 UTC	✅ ok	✅ done	6860 ms
2026-10-17 21:00 UTC	✅ ok	✅ done	4745 ms
2026-10-17 12:30 UTC	✅ ok	✅ done	7372 ms
2026-10-17 04:50 UTC	✅ ok	✅ done	6032 ms
2026-10-16 21:05 UTC	✅ ok	✅ done	7451 ms
2026-10-16 13:55 UTC	✅ ok	✅ done	5863 ms
2026-10-16 06:55 UTC	✅ ok	✅ done	6566 ms
2026-10-16 00:01 UTC	✅ ok	✅ done	6860 ms
2026-10-15 17:06 UTC	✅ ok	✅ done	8261 ms
2026-10-15 10:21 UTC	✅ ok	✅ done	4801 ms
2026-10-15 03:50 UTC	✅ ok	✅ done	3116 ms
2026-10-14 21:20 UTC	✅ ok	✅ done	8480 ms
2026-10-14 14:50 UTC	✅ ok	✅ done	4698 ms
2026-10-14 08:25 UTC	✅ ok	✅ done	2986 ms
2026-10-14 01:36 UTC	✅ ok	✅ done	7920 ms
2026-10-13 19:25 UTC	✅ ok	✅ done	9347 ms
2026-10-13 13:20 UTC	✅ ok	✅ done	9176 ms

Method: MCP initialize then tools/list from Faceabot (FaceabotProbe/1.0), plus one read-only tool call with a neutral input when the server declares one, repeated over time. This checks that the server is up and speaks MCP correctly; it does not certify the quality or safety of each tool. How measurement works.

More from the same publisher

reviewpaper.ai (signed in) Private (key required)

Simulated peer reviews of your own paper in a venue's form, with an inline review card in chat.

MCP endpoint : https://reviewpaper.ai/mcp/account · website · measurements and details

Find tools similar to reviewpaper.ai →

Publisher of reviewpaper.ai?

Show your measured reliability on your README or website:

[![Measured by Faceabot](https://faceabot.com/badge/ai.reviewpaper/reviewpaper.svg)](https://faceabot.com/tools/ai.reviewpaper/reviewpaper)

Data in JSON: /api/catalog?id=ai.reviewpaper/reviewpaper · Stop probes: POST /api/reliability/opt-out

AI agents: all of this is available without keys over MCP https://faceabot.com/api/mcp · HTTP https://faceabot.com/api/catalog?q=… · Guide : llms.txt

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