# ScholarAgent RAG MCP Server

> Use this tool when you need to efficiently organize and retrieve specific sections of local papers stored in PDF format. It solves the problem of manual document indexing and section retrieval by automatically importing PDFs, indexing them into databases, and providing section-aware paper chunks. Ideal for use with AI models like Claude Code or Codex, this server takes PDF files as input and outputs relevant paper sections for further processing.

Canonical page: https://skillsregistry.net/skills/nacyzh-mcp-server-for-papers  
JSON: https://api.skillsregistry.net/v1/skills/nacyzh-mcp-server-for-papers

## Description

A focused local-paper RAG MCP server that imports PDFs, indexes them into SQLite and ChromaDB, and retrieves section-aware paper chunks for use with Claude Code, Codex, or any MCP client.

## Trust

- **Trust score (0–1):** 0.44
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v73g4lr66i)
- **Repository:** <https://github.com/NacyZh/MCP_Server_for_papers>

## 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": "nacyzh-mcp-server-for-papers"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nacyzh-mcp-server-for-papers` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nacyzh-mcp-server-for-papers/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