# Research Paper Ingestion MCP Server

> Use this tool when you need to automate the ingestion and analysis of academic papers to extract key insights and citation metrics. It solves problems related to autonomous knowledge acquisition, research findings processing, and integration with AI memory systems. The tool takes in research papers from arXiv and Semantic Scholar as input and outputs extracted insights and metrics for further analysis and integration.

Canonical page: https://skillsregistry.net/skills/marc-shade-research-paper-mcp  
JSON: https://api.skillsregistry.net/v1/skills/marc-shade-research-paper-mcp

## Description

Enables searching, downloading, and analyzing academic papers from arXiv and Semantic Scholar to extract key insights and citation metrics. It facilitates autonomous knowledge acquisition by processing research findings and integrating them into persistent AI memory systems.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iu3qm5mzvy)
- **Repository:** <https://github.com/marc-shade/research-paper-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": "marc-shade-research-paper-mcp"
    }
  }
}
```

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