中文

简介

你是否遇到过这些情况：

• AI 助手不知道你电脑上有哪些论文

• 记得看过某篇论文，但想不起文件名

• 想在一篇长论文里快速定位某个概念

Local Research Library MCP 就是为了解决这些问题而生的。它是一个本地 MCP 服务器，让 Cursor、Claude、Codex、Trae 等 AI Agent 能够直接浏览和搜索你电脑上的论文资料库。所有数据都留在本地，不会上传到任何地方。

工作原理

你的论文文件夹（PDF、BibTeX、Markdown ...）
        │
        ▼ 启动时自动扫描，每 30 秒检测新增文件
   ┌──────────┐
   │ 索引引擎  │  提取标题、作者、关键词、摘要、全文
   └────┬─────┘
        ▼
   ┌──────────┐
   │ SQLite   │  本地数据库 + 全文搜索
   └────┬─────┘
        ▼
   ┌──────────┐
   │ MCP 服务  │  通过 stdio 协议暴露给 AI 客户端
   └──────────┘

核心能力

支持格式

安全特性

• 🔒 只读：不会修改、删除或上传你的任何文件

• 🚀 自动索引：启动时自动扫描，每 30 秒检测新增文件，放入新论文即可搜索

• 🔍 智能排序：标题 > 关键词 > 摘要 > 作者 > 正文，多维度加权

• 🛡️ 路径安全：所有访问都限制在配置的论文文件夹内，防止越权读取

Related MCP server: context-bridge

安装与配置

需要 Python 3.11+。以下两种方式任选其一，按步骤操作即可。

方式一：uvx（推荐）

无需手动安装，uvx 会自动下载并运行。

第 1 步：安装 uv（如果没有）

pip install uv

第 2 步：添加 MCP 配置

在你的 MCP 客户端配置中加入：

{
  "mcpServers": {
    "research-library": {
      "command": "uvx",
      "args": ["local-research-library-mcp", "serve"],
      "env": {
        "RESEARCH_LIBRARY_ROOT": "<替换为你的论文文件夹路径>",
        "RESEARCH_LIBRARY_DB": "<替换为索引数据库路径>"
      }
    }
  }
}

方式二：pip 安装

第 1 步：安装

pip install local-research-library-mcp

第 2 步：添加 MCP 配置

在你的 MCP 客户端配置中加入：

{
  "mcpServers": {
    "research-library": {
      "command": "local-research-library-mcp",
      "args": ["serve"],
      "env": {
        "RESEARCH_LIBRARY_ROOT": "<替换为你的论文文件夹路径>",
        "RESEARCH_LIBRARY_DB": "<替换为索引数据库路径>"
      }
    }
  }
}

⚠️ 路径说明

请务必将配置中的 <替换为...> 替换为你电脑上的实际路径！

RESEARCH_LIBRARY_DB 建议放在论文文件夹内的 .index 目录下。

使用

配置完成后，重启 AI 客户端，直接用自然语言问：

• "帮我找关于 graph neural network 的论文"

• "我有哪些论文分类？"

• "在这篇论文里搜一下 attention mechanism"

工具

搜索排序

命令行

local-research-library-mcp serve          # 启动服务器
local-research-library-mcp index          # 手动索引
local-research-library-mcp index --force  # 强制重新索引
local-research-library-mcp status         # 查看状态

环境变量

English

Introduction

Ever run into these problems?

• Your AI assistant doesn't know what papers you have on disk

• You remember reading a paper but can't recall the filename

• You want to quickly locate a concept inside a long paper

Local Research Library MCP solves all of these. It is a local MCP server that lets Cursor, Claude, Codex, Trae, and other AI Agents browse and search your research paper library directly. All data stays on your machine — nothing is uploaded.

How It Works

Your papers folder (PDF, BibTeX, Markdown, ...)
        │
        ▼ Scans on startup, checks for new files every 30s
   ┌──────────┐
   │ Indexer   │  Extracts title, authors, keywords, abstract, full text
   └────┬─────┘
        ▼
   ┌──────────┐
   │ SQLite    │  Local database + full-text search (FTS5)
   └────┬─────┘
        ▼
   ┌──────────┐
   │ MCP Server│  Exposes tools to AI clients via stdio protocol
   └──────────┘

Core Capabilities

Supported Formats

Security

• 🔒 Read-only: Never modifies, deletes, or uploads your files

• 🚀 Auto-index: Scans on startup, detects new files every 30 seconds

• 🔍 Smart ranking: Title > keywords > abstract > author > body, multi-dimensional scoring

• 🛡️ Path-safe: All access is confined to the configured papers folder

Installation & Configuration

Requires Python 3.11+. Choose one of the two options below and follow the steps.

Option 1: uvx (Recommended)

No manual install needed — uvx downloads and runs automatically.

Step 1: Install uv (if you don't have it)

pip install uv

Step 2: Add MCP configuration

Add the following to your MCP client config:

{
  "mcpServers": {
    "research-library": {
      "command": "uvx",
      "args": ["local-research-library-mcp", "serve"],
      "env": {
        "RESEARCH_LIBRARY_ROOT": "<replace with your papers folder path>",
        "RESEARCH_LIBRARY_DB": "<replace with your index database path>"
      }
    }
  }
}

Option 2: pip install

Step 1: Install

pip install local-research-library-mcp

Step 2: Add MCP configuration

Add the following to your MCP client config:

{
  "mcpServers": {
    "research-library": {
      "command": "local-research-library-mcp",
      "args": ["serve"],
      "env": {
        "RESEARCH_LIBRARY_ROOT": "<replace with your papers folder path>",
        "RESEARCH_LIBRARY_DB": "<replace with your index database path>"
      }
    }
  }
}

⚠️ Path Instructions

You MUST replace the <replace with ...> placeholders above with actual paths on your computer!

RESEARCH_LIBRARY_DB should be placed inside your papers folder under .index.

Usage

After configuration, restart your AI client and ask in natural language:

• "Find papers about graph neural networks"

• "What collections do I have?"

• "Search for 'attention mechanism' in this paper"

Tools

Search Ranking

CLI

local-research-library-mcp serve          # Start server
local-research-library-mcp index          # Manual index
local-research-library-mcp index --force  # Force re-index
local-research-library-mcp status         # Show status

Environment Variables

License

MIT © Hongyuan Lu

Contributing

See CONTRIBUTING.md · Contact: hongyuanlu9@gmail.com