# ResearchMCP

> Use this tool when you need to efficiently search and analyze academic research papers from the OpenAlex database. It solves problems of manual research and information overload by providing AI-powered searching and retrieval of relevant papers based on keywords or topics. The tool takes search queries as input and outputs full abstracts for detailed analysis, making it ideal for academic research, literature reviews, and topic exploration.

Canonical page: https://skillsregistry.net/skills/danimanas-researchmcp  
JSON: https://api.skillsregistry.net/v1/skills/danimanas-researchmcp

## Description

Enables AI-powered academic research by searching and retrieving research papers from OpenAlex database. Supports searching by keywords/topics and fetching full abstracts for detailed paper analysis.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dr95cf8l49)
- **Repository:** <https://github.com/DaniManas/ResearchMCP>

## 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": "danimanas-researchmcp"
    }
  }
}
```

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