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reviewpaper.ai MCP server

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by reviewpaper.ai·ai.reviewpaper/reviewpaper·v1.0.0
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Review forms for 29 ML/NLP/CV venues, AI conference deadlines and ICLR acceptance odds.

B75/100grade B
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Safety scan
B75/100

full report

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reviewpaper.ai tools (7)

write = sends, deletes, buys or posts
  • convert_scoreFree

    Map an overall review score at one venue to the same position on other venues' scales, keeping its distance from each venue's rough acceptance bar. A heuristic for intuition, not an official equivalence.

  • get_deadlineFree

    Full timeline for one conference edition: abstract/registration, paper, author response and decision dates (AoE + ISO), plus links to its review form. Accepts 'cvpr-2027', 'CVPR 2027' or just 'CVPR' (next upcoming edition).

  • get_llm_policyFree

    What a venue allows authors and reviewers to do with LLMs, with the official policy link. Use before advising someone on AI use for a submission or a review.

  • get_review_formFree

    The exact reviewer form for a venue: every field in order with guidance, each score scale with its official labels, the author checklist, the area-chair meta-review, the rough acceptance bar and the venue's LLM policy. Accepts a slug, name or alias (e.g. 'iclr', 'NeurIPS', 'ACL Rolling Review', 'cvpr').

  • iclr_acceptance_oddsFree

    Historical ICLR acceptance rate for papers with similar reviewer ratings, from public OpenReview decisions (kernel estimate over past score profiles). Give 3–6 ratings as the reviewers gave them. Not a prediction of any decision.

  • list_deadlinesFree

    Upcoming paper and abstract deadlines for ~64 ML, CV, NLP, robotics, speech, data-mining and AI conferences, soonest first, in AoE and ISO-8601 UTC. Projected (not yet announced) dates are excluded unless include_estimated is true.

  • list_venuesFree

    List the 29 ML / NLP / CV / data-mining venues whose reviewer forms reviewpaper.ai models, with the overall score scale, whether the form is official or modeled, and links. Use get_review_form for the full form.

Public scan report

scanner v0.1.10 · 2026-10-12 · same rubric, same numbers if you re-run it

1 low
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 341ms20/20
  • Tool poisoning7 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenanceno repository listed3/15
  • Maintainer identityendpoint served from the registry-verified namespace domain8/10

Findings (1)

  • lowNo source repository listedmaint.no-repo
Overall 75/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How reviewpaper.ai compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
75/100
higher than 45% of 48,255 servers
Tools
7
the typical server has 7
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
929 ms
faster than 13% of 30,031 servers

What its tools let an agent do: 7 read

Install reviewpaper.ai in Claude Code, Cursor or VS Code

claude mcp add --transport http reviewpaper https://reviewpaper.ai/mcp
Add to Cursor

reviewpaper.ai: common questions

Is reviewpaper.ai MCP server safe?
Mostly: it is graded B (75/100). Read the reviewpaper.ai safety report
How do I install reviewpaper.ai?
It runs remotely at reviewpaper.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does reviewpaper.ai need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is reviewpaper.ai maintained?
The latest release is v1.0.0.
Is reviewpaper.ai up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does reviewpaper.ai compare with other MCP servers?
safety score 75/100 (higher than 45% of 48,255 servers); tools 7 (the typical server has 7); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.