reviewpaper.ai
Review forms for 29 ML/NLP/CV venues, AI conference deadlines and ICLR acceptance odds.
¿Debería usar esto?
Calidad y seguridad
Basado en el análisis automatizado de las definiciones de herramientas y el cumplimiento del protocolo.
Costo de contexto
Este es el número aproximado de tokens que se consumen cada vez que las herramientas del servidor se cargan en el contexto de un modelo. Los recuentos más altos reducen la atención disponible para otras tareas.
Instalar
Instalación con un clic
Agrega esto a tu archivo `claude_desktop_config.json`:
{
"mcpServers": {
"reviewpaper": {
"url": "https://reviewpaper.ai/mcp"
}
}
}Puntos de conexión remotos
https://reviewpaper.ai/mcpstreamable-httpQué puede hacer
Inventario de herramientas
Herramientas (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.
Esquema de entrada
{
"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"
]
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_review_form(venue)
The exact reviewer form for a venue: every field in order with guidance, each score scale with its official labels, the author checklist, the area-chair meta-review, the rough acceptance bar and the venue's LLM policy. Accepts a slug, name or alias (e.g. 'iclr', 'NeurIPS', 'ACL Rolling Review', 'cvpr').
Esquema de entrada
{
"type": "object",
"properties": {
"venue": {
"type": "string",
"minLength": 2,
"description": "Venue slug, name or alias, e.g. 'iclr' or 'CVPR'."
}
},
"required": [
"venue"
],
"$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.
Esquema de entrada
{
"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
}
},
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢get_deadline(conference)
Full timeline for one conference edition: abstract/registration, paper, author response and decision dates (AoE + ISO), plus links to its review form. Accepts 'cvpr-2027', 'CVPR 2027' or just 'CVPR' (next upcoming edition).
Esquema de entrada
{
"type": "object",
"properties": {
"conference": {
"type": "string",
"minLength": 2,
"description": "e.g. 'cvpr-2027', 'ICML 2027', 'neurips'."
}
},
"required": [
"conference"
],
"$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.
Esquema de entrada
{
"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"
],
"$schema": "https://json-schema.org/draft/2020-12/schema"
}🟢convert_score(venue, score, to)
Map an overall review score at one venue to the same position on other venues' scales, keeping its distance from each venue's rough acceptance bar. A heuristic for intuition, not an official equivalence.
Esquema de entrada
{
"type": "object",
"properties": {
"venue": {
"type": "string",
"minLength": 2,
"description": "Venue the score is from, e.g. 'neurips'."
},
"score": {
"type": "number",
"description": "Overall score on that venue's scale."
},
"to": {
"description": "Target venues (default: all).",
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"venue",
"score"
],
"$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.
Esquema de entrada
{
"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"
}Comunidad
Evidencia