reviewpaper.ai
Review forms for 29 ML/NLP/CV venues, AI conference deadlines and ICLR acceptance odds.
Should I use this
Quality & Safety
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"reviewpaper": {
"url": "https://reviewpaper.ai/mcp"
}
}
}Remote endpoints
https://reviewpaper.ai/mcpstreamable-httpWhat it can do
Tool inventory
Tools (7)
🟢list_venues(area)
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.
Input Schema
{
"type": "object",
"properties": {
"area": {
"description": "Optional venue area filter.",
"type": "string",
"enum": [
"ml",
"cv",
"nlp",
"ai",
"data-mining",
"ir-web",
"speech",
"robotics",
"theory",
"systems",
"multimedia"
]
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_review_form(venue)
The exact reviewer form for a venue: every field in order with guidance, each score scale with its official labels, the author checklist, the area-chair meta-review, the rough acceptance bar and the venue's LLM policy. Accepts a slug, name or alias (e.g. 'iclr', 'NeurIPS', 'ACL Rolling Review', 'cvpr').
Input Schema
{
"type": "object",
"properties": {
"venue": {
"type": "string",
"minLength": 2,
"description": "Venue slug, name or alias, e.g. 'iclr' or 'CVPR'."
}
},
"required": [
"venue"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢list_deadlines(area, within_days, include_estimated, limit)
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.
Input Schema
{
"type": "object",
"properties": {
"area": {
"description": "Area code: ML (Machine learning), CV (Computer vision), NLP (Natural language processing), RO (Robotics), SP (Speech and signal processing), DM (Data mining), AP (Applications (health, bio, finance…)), KR (Knowledge representation and planning), HCI (Human-computer interaction), IRSM (Information retrieval and social media), MISC (Other).",
"type": "string",
"enum": [
"ML",
"CV",
"NLP",
"RO",
"SP",
"DM",
"AP",
"KR",
"HCI",
"IRSM",
"MISC"
]
},
"within_days": {
"default": 120,
"description": "Only deadlines within this many days.",
"type": "integer",
"minimum": 1,
"maximum": 400
},
"include_estimated": {
"default": false,
"description": "Include dates projected from last year.",
"type": "boolean"
},
"limit": {
"default": 30,
"type": "integer",
"minimum": 1,
"maximum": 100
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_deadline(conference)
Full timeline for one conference edition: abstract/registration, paper, author response and decision dates (AoE + ISO), plus links to its review form. Accepts 'cvpr-2027', 'CVPR 2027' or just 'CVPR' (next upcoming edition).
Input Schema
{
"type": "object",
"properties": {
"conference": {
"type": "string",
"minLength": 2,
"description": "e.g. 'cvpr-2027', 'ICML 2027', 'neurips'."
}
},
"required": [
"conference"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢iclr_acceptance_odds(scores, year)
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.
Input Schema
{
"type": "object",
"properties": {
"scores": {
"minItems": 3,
"maxItems": 6,
"type": "array",
"items": {
"type": "number",
"minimum": 0,
"maximum": 10
},
"description": "Reviewer ratings, e.g. [6, 6, 8, 4]."
},
"year": {
"description": "Reference year: 2026, 2025, 2024 (default: latest).",
"type": "integer",
"minimum": -9007199254740991,
"maximum": 9007199254740991
}
},
"required": [
"scores"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢convert_score(venue, score, to)
Map an overall review score at one venue to the same position on other venues' scales, keeping its distance from each venue's rough acceptance bar. A heuristic for intuition, not an official equivalence.
Input Schema
{
"type": "object",
"properties": {
"venue": {
"type": "string",
"minLength": 2,
"description": "Venue the score is from, e.g. 'neurips'."
},
"score": {
"type": "number",
"description": "Overall score on that venue's scale."
},
"to": {
"description": "Target venues (default: all).",
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"venue",
"score"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_llm_policy(venue)
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.
Input Schema
{
"type": "object",
"properties": {
"venue": {
"type": "string",
"minLength": 2,
"description": "Venue slug, name or alias."
}
},
"required": [
"venue"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}Community
Evidence