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Scholar RAG MCP

Academic paper knowledge-base MCP server: PDF ingest, vector search with reranking, KB management.

Python Local Linux

★ 5 stars Last pushed 2026-09-04 License: MIT

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Review any command before running it. Package names and URLs come from the server's own registry entry.

Package (pypi 0.4.0)

uvx scholar-rag-mcp

Or add to your MCP client config:

{
  "mcpServers": {
    "scholar-rag-mcp": {
      "command": "uvx",
      "args": [
        "scholar-rag-mcp"
      ],
      "env": {
        "SCHOLAR_RAG_CHAT_BASE_URL": "<YOUR_VALUE>",
        "SCHOLAR_RAG_EMBED_BASE_URL": "<YOUR_VALUE>",
        "SCHOLAR_RAG_RERANK_BASE_URL": "<YOUR_VALUE>"
      }
    }
  }
}

SCHOLAR_RAG_DATA_DIR — Data root directory (knowledge bases, caches, jobs)
SCHOLAR_RAG_CHAT_BASE_URL required — OpenAI-compatible chat endpoint for annotation/keywords (e.g. local vLLM)
SCHOLAR_RAG_EMBED_BASE_URL required — OpenAI-compatible embeddings endpoint
SCHOLAR_RAG_RERANK_BASE_URL required — Rerank endpoint (/v1/rerank)