PaperWeightMCP

LucasPeixotg/PaperWeightMCP

★ 0 stars Python AI/LLM Updated today

A lightweight Model Context Protocol (MCP) server for academic research featuring hybrid retrieval (HyDE + Text-to-SQL), citation graph tracking, and artifact discovery without high storage overhead.

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "paperweightmcp": {
      "command": "uvx",
      "args": [
        "paperweightmcp"
      ]
    }
  }
}

Or install with pip: pip install paperweightmcp

README Excerpt

A lightweight academic research agent built as a [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server. PaperWeightMCP uses a two-stage hybrid retrieval strategy—combining fast semantic search over pre-indexed paper abstracts with an internal HyDE translation layer, Text-to-SQL metadata filtering, and on-the-fly full-text fetching. The goal is to maximize research depth without requiring massive local disk space.

PaperWeightMCP

Quick Install

README Excerpt

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