# Research MCPs

> Use this tool when you need to efficiently search academic papers on arXiv or convert local Markdown files into cloud documents on Feishu. It solves problems of finding relevant research papers and migrating documents to the cloud, supporting queries with keyword, title, author, and category searches. The tool takes in keyword queries or local Markdown files as input and outputs searched papers or uploaded Feishu documents.

Canonical page: https://skillsregistry.net/skills/dreamupers-research-mcps  
JSON: https://api.skillsregistry.net/v1/skills/dreamupers-research-mcps

## Description

Provides two research-oriented services: an arXiv paper search tool supporting keyword, title, author, and category queries with full arXiv query syntax, and a Feishu (Lark) document upload tool that converts local Markdown files into Feishu cloud documents with support for formulas, images, and tables.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dreamupers-research-mcps)
- **Repository:** <https://github.com/dreamupers/ai-research-skills-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": "dreamupers-research-mcps"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dreamupers-research-mcps` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dreamupers-research-mcps/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
