# openreview-mcp

> Use this tool when you need to analyze peer reviews from OpenReview venues like NeurIPS and ICLR, as it enables searching and retrieving submissions, reviews, meta-reviews, rebuttals, and decisions. It solves problems related to accessing and evaluating peer review data, providing valuable insights for researchers and conference organizers. The tool accepts venue and submission queries as inputs and returns relevant peer review data as output.

Canonical page: https://skillsregistry.net/skills/opencodice-research-openreview-mcp  
JSON: https://api.skillsregistry.net/v1/skills/opencodice-research-openreview-mcp

## Description

MCP server for searching and retrieving submissions, reviews, meta-reviews, rebuttals, and decisions from OpenReview venues like NeurIPS and ICLR, enabling peer review analysis.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-26

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ye15ix1y5v)
- **Repository:** <https://github.com/OpenCodice-Research/openreview-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "opencodice-research-openreview-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/opencodice-research-openreview-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/opencodice-research-openreview-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt