# google-scholar-labs-ajg-mcp

> google-scholar-labs-ajg-mcp — divenire990-google-scholar-labs-ajg-mcp. Use this tool when you need to efficiently search Google Scholar Labs and filter academic results by reputable journal ratings. It solves problems of information overload and credibility assessment by leveraging AJG 2024 journal ratings and handling CAPTCHA verifications securely. The tool accepts search queries as input and outputs filtered results, ideal for use cases requiring authoritative academic sources.

Canonical page: https://skillsregistry.net/skills/divenire990-google-scholar-labs-ajg-mcp  
JSON: https://api.skillsregistry.net/v1/skills/divenire990-google-scholar-labs-ajg-mcp

## Description

MCP server for AI agents to search Google Scholar Labs and filter results by AJG 2024 journal ratings, using local browser sessions and safe CAPTCHA handoff.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b5wxcnumej)
- **Repository:** <https://github.com/divenire990/Google-scholar-labs-ajg-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": "divenire990-google-scholar-labs-ajg-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/divenire990-google-scholar-labs-ajg-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/divenire990-google-scholar-labs-ajg-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
