# Research-paper-mcp-server

> Research-paper-mcp-server — the-samarium-research-paper-mcp-server. Use this tool when you need to discover and ingest research papers from sources like arXiv and ChromaDB, and leverage large language models (LLMs) for reasoning and inference. It solves problems related to research paper discovery, ingestion, and analysis, providing a backend interface for querying and retrieving relevant papers. Ideal for use cases requiring automated research paper processing and LLM-driven insights, with inputs including search queries and outputs featuring relevant research papers and inferred information.

Canonical page: https://skillsregistry.net/skills/the-samarium-research-paper-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/the-samarium-research-paper-mcp-server

## Description

A research paper discovery and ingestion tool built on top of arXiv, ChromaDB, and FastMCP. Originally developed as a FastAPI backend with local LLM inference via Ollama, then migrated to an MCP server so that an LLM host (like Claude) handles all reasoning.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/the-samarium/Research-paper-mcp-server)

## 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": "the-samarium-research-paper-mcp-server"
    }
  }
}
```

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