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notwhiteblank/scholar-rag-mcp

Academic-paper knowledge-base MCP server: PDF ingestion (MinerU), Qdrant vector search with reranking, two-phase KB management

Our verdict

Not reviewed yet

We have not reviewed notwhiteblank/scholar-rag-mcp yet

No one at Enterprise DNA has checked this listing against its sources. The description comes from public listings gathered automatically. Any fact below shows where it came from and when it was last checked.

How we review records

From the listing

About notwhiteblank/scholar-rag-mcp

An MCP server that turns academic papers into a searchable knowledge base. It ingests PDFs with MinerU, stores vectors in Qdrant, and applies reranking to search results. It also supports a two-phase knowledge base management workflow.

Best for

Researchers and developers building paper Q&A or retrieval systems

Use cases

  • Build a personal searchable library of research papers
  • Retrieve relevant paper passages with reranked vector search
  • Manage a two-phase knowledge base for academic document collections

Notes

4 stars on GitHub. Last updated 2026-09-04. Licensed MIT.

Pros

  • Uses a modern RAG stack with reranking for better retrieval
  • Open source and Python based, easy to extend
  • Designed specifically for academic PDFs

Cons

  • Requires separate setup of Qdrant and MinerU
  • Python only, limiting integration with non-Python stacks
  • Two-phase KB management adds operational complexity

Key facts

What we have checked

Not checked yet. Dated facts such as prices, releases and repository activity appear here once we have confirmed them from a source.

How to use

How to set it up

As the listing publishes it. We have not run this install.

Install

uvx scholar-rag-mcp             # download and start the MCP server (stdio)

Tools exposed

  • list_kbs
  • create_kb
  • delete_kb
  • add_document
  • remove_document
  • get_document
  • get_document_text
  • list_documents
  • search_documents
  • search_chunks
  • get_job

Clients the listing names (not checked here)

Claude Desktop, Claude Code, ChatGPT

Install

Add notwhiteblank/scholar-rag-mcp to your client

Not verified yet

Our lab has not run this server yet. "Config checked" on a client means the recipe matches that client's documented config format; it does not mean we ran it.

Claude Code

Config checked

Run in your terminal (runs on your computer)

claude mcp add --env SCHOLAR_RAG_CHAT_BASE_URL=YOUR_SCHOLAR_RAG_CHAT_BASE_URL --env SCHOLAR_RAG_EMBED_BASE_URL=YOUR_SCHOLAR_RAG_EMBED_BASE_URL --env SCHOLAR_RAG_RERANK_BASE_URL=YOUR_SCHOLAR_RAG_RERANK_BASE_URL --transport stdio notwhiteblank-scholar-rag-mcp -- uvx scholar-rag-mcp@0.4.0

Needs SCHOLAR_RAG_CHAT_BASE_URL, SCHOLAR_RAG_EMBED_BASE_URL and SCHOLAR_RAG_RERANK_BASE_URL: replace each YOUR_ value with your own.

Version 0.4.0 · From the Official MCP registry, read · Format checked against Claude Code's config docs

Claude Desktop

Config checked

Add to claude_desktop_config.json (runs on your computer)

{
  "mcpServers": {
    "notwhiteblank-scholar-rag-mcp": {
      "command": "uvx",
      "args": [
        "scholar-rag-mcp@0.4.0"
      ],
      "env": {
        "SCHOLAR_RAG_CHAT_BASE_URL": "YOUR_SCHOLAR_RAG_CHAT_BASE_URL",
        "SCHOLAR_RAG_EMBED_BASE_URL": "YOUR_SCHOLAR_RAG_EMBED_BASE_URL",
        "SCHOLAR_RAG_RERANK_BASE_URL": "YOUR_SCHOLAR_RAG_RERANK_BASE_URL"
      }
    }
  }
}

Needs SCHOLAR_RAG_CHAT_BASE_URL, SCHOLAR_RAG_EMBED_BASE_URL and SCHOLAR_RAG_RERANK_BASE_URL: replace each YOUR_ value with your own.

Version 0.4.0 · From the Official MCP registry, read · Format checked against Claude Desktop's config docs

Cursor

Config checked

Add to .cursor/mcp.json (runs on your computer)

{
  "mcpServers": {
    "notwhiteblank-scholar-rag-mcp": {
      "command": "uvx",
      "args": [
        "scholar-rag-mcp@0.4.0"
      ],
      "env": {
        "SCHOLAR_RAG_CHAT_BASE_URL": "YOUR_SCHOLAR_RAG_CHAT_BASE_URL",
        "SCHOLAR_RAG_EMBED_BASE_URL": "YOUR_SCHOLAR_RAG_EMBED_BASE_URL",
        "SCHOLAR_RAG_RERANK_BASE_URL": "YOUR_SCHOLAR_RAG_RERANK_BASE_URL"
      }
    }
  }
}

Needs SCHOLAR_RAG_CHAT_BASE_URL, SCHOLAR_RAG_EMBED_BASE_URL and SCHOLAR_RAG_RERANK_BASE_URL: replace each YOUR_ value with your own.

Version 0.4.0 · From the Official MCP registry, read · Format checked against Cursor's config docs

VS Code

Config checked

Add to .vscode/mcp.json (runs on your computer)

{
  "inputs": [
    {
      "type": "promptString",
      "id": "scholar-rag-chat-base-url",
      "description": "OpenAI-compatible chat endpoint for annotation/keywords (e.g. local vLLM)",
      "password": true
    },
    {
      "type": "promptString",
      "id": "scholar-rag-embed-base-url",
      "description": "OpenAI-compatible embeddings endpoint",
      "password": true
    },
    {
      "type": "promptString",
      "id": "scholar-rag-rerank-base-url",
      "description": "Rerank endpoint (/v1/rerank)",
      "password": true
    }
  ],
  "servers": {
    "notwhiteblank-scholar-rag-mcp": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "scholar-rag-mcp@0.4.0"
      ],
      "env": {
        "SCHOLAR_RAG_CHAT_BASE_URL": "${input:scholar-rag-chat-base-url}",
        "SCHOLAR_RAG_EMBED_BASE_URL": "${input:scholar-rag-embed-base-url}",
        "SCHOLAR_RAG_RERANK_BASE_URL": "${input:scholar-rag-rerank-base-url}"
      }
    }
  }
}

Needs SCHOLAR_RAG_CHAT_BASE_URL, SCHOLAR_RAG_EMBED_BASE_URL and SCHOLAR_RAG_RERANK_BASE_URL: replace each YOUR_ value with your own.

Version 0.4.0 · From the Official MCP registry, read · Format checked against VS Code's config docs

Codex

Config checked

Add to ~/.codex/config.toml (runs on your computer)

[mcp_servers.notwhiteblank-scholar-rag-mcp]
command = "uvx"
args = ["scholar-rag-mcp@0.4.0"]
env_vars = ["SCHOLAR_RAG_CHAT_BASE_URL", "SCHOLAR_RAG_EMBED_BASE_URL", "SCHOLAR_RAG_RERANK_BASE_URL"]

Needs SCHOLAR_RAG_CHAT_BASE_URL, SCHOLAR_RAG_EMBED_BASE_URL and SCHOLAR_RAG_RERANK_BASE_URL: replace each YOUR_ value with your own.

Version 0.4.0 · From the Official MCP registry, read · Format checked against Codex's config docs

  • ChatGPT: ChatGPT connects only to remote servers that need no API key.

Recipes come from the server's entry in the official MCP registry. Check the package name before you run it, and keep keys out of shared files.

Works with

What notwhiteblank/scholar-rag-mcp connects to

5 clients, each with how we know and when we checked.

Works withTypeHow we knowChecked
Claude CodeClientInstall recipe matches the client's documented formatRuns locally, version 0.4.0Config checkedClaude Code docs
Claude DesktopClientInstall recipe matches the client's documented formatRuns locally, version 0.4.0Config checkedClaude Desktop docs
CursorClientInstall recipe matches the client's documented formatRuns locally, version 0.4.0Config checkedCursor docs
VS CodeClientInstall recipe matches the client's documented formatRuns locally, version 0.4.0Config checkedVS Code docs
CodexClientInstall recipe matches the client's documented formatRuns locally, version 0.4.0Config checkedCodex docs

Sources

Where this comes from

No sources recorded yet. Each source we check is listed here with the date we checked it.

A source shows what was published when we checked it. It does not certify security, performance or a working installation. Read our method.

Changelog

What changed

No changes recorded yet. Releases, price changes and deprecations appear here, with their dates, once we track them for this record.

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