# reviewpaper.ai (remote · reviewpaper.ai)

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

- Trust score: 79/100 (medium)
- Change this week: +4
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-10-24

## Components

- remote · `reviewpaper.ai`: 79/100 (this document), [markdown](https://verifymcp.io/servers/ai-reviewpaper-reviewpaper/reviewpaper.md), [page](https://verifymcp.io/servers/ai-reviewpaper-reviewpaper/reviewpaper)

## Channel facts

- Endpoint: `https://reviewpaper.ai/mcp`
- Transports: `streamable-http`
- Auth: `none`
- Version: `1.0.0`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically against the live server, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-10-24.

- **Endpoint Security**: 80/100
  - The endpoint's TLS certificate is valid, in date, and uses a strong key.
  - No authorisation is required to call this server. Every tool declares its destructiveHint and none is destructive, so open access doesn't expose one.
  - HTTPS is enforced; there's no plaintext access path.
  - The HSTS (Strict-Transport-Security) header is present.
  - DNSSEC check failed: this domain isn't protected by DNSSEC.
- **Transport & Reachability**: 100/100
  - Verified streamable-http transport via a live MCP handshake.
- **Schema Quality & AI Usability**: 73/100
  - AI-judged instruction clarity (good).
  - Context-footprint check failed: tool/resource definitions use about 919 tokens (~131/item across 7 items; 7 tools + 0 resources), over budget; trim descriptions and params.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 40/100
  - Stability observed for 12 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 97/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 92% of tool parameters carry a description.
- **Tool Safety**: 100/100
  - No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.
  - We read all 7 captured tool definition(s), and no name or description among them implies an irreversible operation.
  - An AI judge read all 8 captured unit(s) of tool text and found none that tries to manipulate the model reading it.
- **Capabilities**: 100/100
  - Implements a current MCP spec version (2026-07-28).

## Install

### How do I install the reviewpaper.ai MCP server?

reviewpaper.ai is a hosted endpoint at https://reviewpaper.ai/mcp, so there is nothing to install locally. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

### Claude

```bash
claude mcp add --transport http ai-reviewpaper-reviewpaper 'https://reviewpaper.ai/mcp'
```

### Cursor

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

### VS Code

```json
{
  "servers": {
    "ai-reviewpaper-reviewpaper": {
      "type": "http",
      "url": "https://reviewpaper.ai/mcp"
    }
  }
}
```

### Codex

```toml
[mcp_servers.ai-reviewpaper-reviewpaper]
url = "https://reviewpaper.ai/mcp"
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "ai-reviewpaper-reviewpaper": {
      "type": "remote",
      "url": "https://reviewpaper.ai/mcp",
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add ai-reviewpaper-reviewpaper --url 'https://reviewpaper.ai/mcp' --transport streamable-http
```

### Hermes

```yaml
mcp_servers:
  ai-reviewpaper-reviewpaper:
    url: "https://reviewpaper.ai/mcp"
```

### Netclaw

```json
{
  "McpServers": {
    "ai-reviewpaper-reviewpaper": {
      "Transport": "http",
      "Url": "https://reviewpaper.ai/mcp"
    }
  }
}
```

### Vellum

```bash
assistant mcp add ai-reviewpaper-reviewpaper -t streamable-http -u 'https://reviewpaper.ai/mcp'
```

### Other

```json
{
  "mcpServers": {
    "ai-reviewpaper-reviewpaper": {
      "type": "http",
      "url": "https://reviewpaper.ai/mcp"
    }
  }
}
```

The mcpServers block is a cross-client convention. Remote transports vary, so check your client's docs.

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-10-24 (score 79, +1)

No change was recorded against any check on this day. Stability & Change Management went from 37 to 40. That category is still filling its 30-day observation window: 11 days of observed history at the previous scan, 12 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-22 (score 78, +1)

No change was recorded against any check on this day. Stability & Change Management went from 30 to 33. That category is still filling its 30-day observation window: 9 days of observed history at the previous scan, 10 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-20 (score 77, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-18 (score 76, +1)

No change was recorded against any check on this day. Stability & Change Management went from 17 to 20. That category is still filling its 30-day observation window: 5 days of observed history at the previous scan, 6 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-10-16 (score 75, +1)

- [security] The server rewrote its instructions, which are the text every model session reads

### 2026-10-13 (score 74, +1)

- [functional improvement] Stability: unverified → 0.03

### 2026-10-12 (score 73)

First indexed and scored.

## MCP tools (7)

### `list_venues` (~68 tokens)

List venues with review forms

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 parameters:

- `area` (string): Optional venue area filter.

### `get_review_form` (~109 tokens)

Get a venue's reviewer form

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 parameters:

- `venue` (string, required): Venue slug, name or alias, e.g. 'iclr' or 'CVPR'.

### `list_deadlines` (~183 tokens)

List upcoming AI conference deadlines

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 parameters:

- `area` (string): 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…)…
- `include_estimated` (boolean): Include dates projected from last year.
- `limit` (integer)
- `within_days` (integer): Only deadlines within this many days.

### `get_deadline` (~94 tokens)

Get one conference's deadlines

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 parameters:

- `conference` (string, required): e.g. 'cvpr-2027', 'ICML 2027', 'neurips'.

### `iclr_acceptance_odds` (~105 tokens)

ICLR acceptance odds from review scores

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 parameters:

- `scores` (array, required): Reviewer ratings, e.g. [6, 6, 8, 4].
- `year` (integer): Reference year: 2026, 2025, 2024 (default: latest).

### `convert_score` (~94 tokens)

Convert a review score across venues

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 parameters:

- `score` (number, required): Overall score on that venue's scale.
- `to` (array): Target venues (default: all).
- `venue` (string, required): Venue the score is from, e.g. 'neurips'.

### `get_llm_policy` (~57 tokens)

Get a venue's LLM / AI-use policy

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 parameters:

- `venue` (string, required): Venue slug, name or alias.

## Diagnostics

Captured diagnostic sections: TLS, DNSSEC, Authorisation, Transports. The full working is on the page: https://verifymcp.io/servers/ai-reviewpaper-reviewpaper/reviewpaper#diagnostics

## Score history

- 2026-10-24: 79
- 2026-10-23: 78
- 2026-10-22: 78
- 2026-10-21: 77
- 2026-10-20: 77
- 2026-10-19: 76
- 2026-10-18: 76
- 2026-10-17: 75
- 2026-10-16: 75
- 2026-10-15: 74
- 2026-10-14: 74
- 2026-10-13: 74
- 2026-10-12: 73

## Common questions

### What is the reviewpaper.ai MCP server?

reviewpaper.ai is an MCP server listed in the public MCP registry as ai.reviewpaper/reviewpaper. Review forms for 29 ML/NLP/CV venues, AI conference deadlines and ICLR acceptance odds. This page covers its hosted endpoint (https://reviewpaper.ai/mcp).

### Is the reviewpaper.ai MCP server safe to use?

reviewpaper.ai scores 79 out of 100 on VerifyMCP. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

### What tools does the reviewpaper.ai MCP server expose?

reviewpaper.ai exposes 7 tools: list_venues, get_review_form, list_deadlines, get_deadline, iclr_acceptance_odds, and 2 more. Their descriptions and schemas cost roughly 710 tokens of context every time the server is loaded.

### Does the reviewpaper.ai MCP server require authentication?

No. We connected to reviewpaper.ai without credentials and it answered, so anything it exposes is reachable by anyone who knows the address.

### Is the reviewpaper.ai MCP server still maintained?

reviewpaper.ai is still listed as active in the MCP registry. We last reached this channel on 24 October 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

## Links

- Remote endpoint: https://reviewpaper.ai/mcp
- Website: https://reviewpaper.ai/developers
- Changelog RSS feed: https://verifymcp.io/servers/ai-reviewpaper-reviewpaper/reviewpaper.xml
- Changelog JSON feed: https://verifymcp.io/servers/ai-reviewpaper-reviewpaper/reviewpaper.json
- HTML version of this page: https://verifymcp.io/servers/ai-reviewpaper-reviewpaper/reviewpaper