# mcp-research

> Use this tool when you need to conduct comprehensive academic research across multiple databases. It solves problems of inefficient bibliographic searches and citation analysis by providing advanced search functionality and integration with reference management tools like Zotero. With inputs of search queries and outputs of relevant research papers and citation data, use mcp-research to streamline your academic research workflow.

Canonical page: https://skillsregistry.net/skills/francojc-mcp-research  
JSON: https://api.skillsregistry.net/v1/skills/francojc-mcp-research

## Description

Enables academic bibliographic search across arXiv, Semantic Scholar, and Google Scholar with advanced search, citation analysis, and Zotero integration for reference management.

## Trust

- **Trust score (0–1):** 0.04
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/onlhin6dqr)
- **Repository:** <https://github.com/francojc/mcp-research>

## 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": "francojc-mcp-research"
    }
  }
}
```

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