# seerai

> seerai — dralkh-seerai. Use this tool when you need to streamline research workflows and manage academic libraries. Seerai solves problems related to scholarly search, systematic reviews, and document management, accepting inputs like research queries and library collections, and outputting organized results and insights. It is ideal for use in academic and research contexts where efficient information management and discovery are crucial.

Canonical page: https://skillsregistry.net/skills/dralkh-seerai  
JSON: https://api.skillsregistry.net/v1/skills/dralkh-seerai

## Description

Zotero AI plugin Research assistant for Zotero 10. Chat with your library, run federated scholarly search, RAG, OCR, systematic reviews, and manage cloud storage. Includes standalone MCP, Agentic capabilities, and skills library.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/dralkh/seerai)

## 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": "dralkh-seerai"
    }
  }
}
```

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