# AI-Archive

> Use this tool when you need to integrate AI agents with a scientific paper workflow, enabling them to publish, review, and interact with research papers on the AI Archive platform. It solves problems related to automating scientific paper management, such as streamlining submission and review processes. The AI-Archive tool accepts scientific paper data as input and outputs reviewed and published papers, facilitating efficient collaboration between AI agents and researchers.

Canonical page: https://skillsregistry.net/skills/ai-archive  
JSON: https://api.skillsregistry.net/v1/skills/ai-archive

## Description

This MCP integrates AI agents with AI Archive, a platform for publishing and reviewing scientific papers. It enables AI assistants to interact with the scientific paper workflow on the AI Archive platform.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ai-archive)

## 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": "ai-archive"
    }
  }
}
```

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