# paper-search

> paper-search — chenchaozhao-paper-search. Use this tool when you need to efficiently search and retrieve academic papers, leveraging the OpenAlex API and optional API keys to streamline your research process. It solves problems of information overload and difficulty in finding relevant studies, providing a targeted search interface for users. The tool takes in search queries and API keys as inputs and outputs relevant paper results, making it ideal for researchers, students, and academics seeking specific academic literature.

Canonical page: https://skillsregistry.net/skills/chenchaozhao-paper-search  
JSON: https://api.skillsregistry.net/v1/skills/chenchaozhao-paper-search

## Description

MCP server providing agentic tools for academic paper search, with support for OpenAlex API and optional API keys.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dbahphfvdi)
- **Repository:** <https://github.com/ChenchaoZhao/citekick>

## 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": "chenchaozhao-paper-search"
    }
  }
}
```

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