# Literature Review MCP Server

> Use this tool when you need to streamline your research workflow and generate comprehensive literature reviews. It solves problems of manual research aggregation and analysis by enabling multi-source searching, batch PDF analysis, and intelligent quality evaluation. The tool takes in research papers and keywords as inputs and outputs cross-literature reviews, making it ideal for researchers to use during the initial stages of a research project.

Canonical page: https://skillsregistry.net/skills/ydzat-literature-review-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ydzat-literature-review-mcp

## Description

An academic paper management tool that enables multi-source research searching, batch PDF analysis, and the generation of comprehensive, cross-literature reviews. It features intelligent token compression and quality evaluation to streamline the literature review workflow for researchers.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ilh92spumj)
- **Repository:** <https://github.com/ydzat/literature-review-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": "ydzat-literature-review-mcp"
    }
  }
}
```

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