# OpenReview Python MCP Server

> Use this tool when you need to generate accurate Python code or retrieve metadata from the openreview-py library, as it exposes the library's structure and documentation, enabling searches and retrievals of classes, functions, and signatures. It solves problems related to code generation, API discovery, and metadata retrieval, providing a convenient interface for LLMs to access library information. Ideal for use cases where external API calls or code execution are undesirable, this tool streamlines the development process with efficient metadata retrieval.

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

## Description

Exposes the structure and documentation of the openreview-py library, enabling LLMs to discover classes, functions, and signatures for accurate code generation. It provides tools for searching the API and retrieving detailed metadata without executing code or making external API calls.

## 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:** ai-ml
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wrln8gcuwz)
- **Repository:** <https://github.com/openreview/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": "openreview-openreview-mcp"
    }
  }
}
```

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