# kivv

> Use this tool when you need to efficiently discover and understand relevant research papers on arXiv, as it solves the problem of manually searching and summarizing academic content. It takes in search queries as input and outputs intelligent summaries of retrieved papers, streamlining the research process. Ideal for users seeking to stay up-to-date with the latest academic findings, Kivv integrates with MCP to provide a seamless experience.

Canonical page: https://skillsregistry.net/skills/jeffaf-kivv  
JSON: https://api.skillsregistry.net/v1/skills/jeffaf-kivv

## Description

Automated arXiv research paper discovery and AI-powered summarization system that enables Claude Desktop users to search, retrieve, and get intelligent summaries of academic papers through MCP integration.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u67ioqbv17)
- **Repository:** <https://github.com/jeffaf/kivv>

## 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": "jeffaf-kivv"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jeffaf-kivv` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jeffaf-kivv/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