# scholar-search

> scholar-search — mulimuri-scholar-search. Use this tool when you need to efficiently search and analyze academic papers from Google Scholar, filtering by year and removing duplicates. It solves problems of information overload and relevance assessment by providing detailed paper retrieval, TF-IDF analysis, and visualization through chart generation. The tool accepts search queries and parameters as input and outputs relevant paper information, analysis results, and charts.

Canonical page: https://skillsregistry.net/skills/mulimuri-scholar-search  
JSON: https://api.skillsregistry.net/v1/skills/mulimuri-scholar-search

## Description

Enables searching Google Scholar papers with year filtering, deduplication, and proxy support. Also provides paper detail retrieval, TF-IDF relevance analysis, and chart generation via MCP tools.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/utn54022ks)
- **Repository:** <https://github.com/MuliMuri/scholar_search>

## 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": "mulimuri-scholar-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mulimuri-scholar-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mulimuri-scholar-search/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