# Nanci Literature Review Assistant

> Use this tool when you need to conduct efficient and comprehensive literature reviews by searching and retrieving research papers, formatting citations, and organizing references. It solves problems of manual citation formatting and difficult paper discovery, providing a streamlined research workflow. The Nanci Literature Review Assistant takes in research topics and keywords as input and outputs formatted citations with clickable links and easy access to relevant academic resources.

Canonical page: https://skillsregistry.net/skills/barnaclelabs-chimera-mcp-smithery  
JSON: https://api.skillsregistry.net/v1/skills/barnaclelabs-chimera-mcp-smithery

## Description

Conduct comprehensive literature reviews efficiently by searching research papers, retrieving detailed paper content, and automatically formatting citations with clickable links. Enhance your research workflow with smart references and easy access to relevant academic resources. Integrate seamlessly with your research tools to streamline paper discovery and review.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** search
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/BarnacleLabs/chimera-mcp-smithery)

## 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": "barnaclelabs-chimera-mcp-smithery"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/barnaclelabs-chimera-mcp-smithery` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/barnaclelabs-chimera-mcp-smithery/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