AMiner MCP Server

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💡 Core Advantage: Free Academic Data Access

Currently, AMiner's core search interfaces (Scholar, Paper, and Patent Search) are free to use. This allows you to integrate massive global research data into your AI workflow with zero API costs, making it the most cost-effective solution for academic automation.

This directory provides a Model Context Protocol (MCP) server for accessing AMiner's open platform API.

Quick Install

Installation

pip install -e .

Configuration

Set your AMiner API token as an environment variable:

Windows (PowerShell):

$env:AMINER_TOKEN="your_token_here"

Linux/Mac:

export AMINER_TOKEN="your_token_here"

Or create a .env file in your project root:

AMINER_TOKEN=your_token_here

Usage

Run the server:

python -m aminer_mcp

Or use the command-line shortcut:

aminer-mcp

Features

• Scholar Search: Find researchers by name or organization.
• Paper Search: Find papers by title.
• Patent Search: Search patents by keywords.

Setup

1. Install Dependencies:

   pip install "mcp[cli]" requests
   

2. Get API Token:

   • Register at AMiner Open Platform.
   • Generate your API Key/Token.

3. Configure Environment: You can either set the AMINER_TOKEN environment variable manually or use the provided .env file.

   Option A: Using .env (Recommended) A .env file has been created for you with your token. The server will automatically load it.

   Option B: Manual Environment Variable

   Windows (PowerShell):

   $env:AMINER_TOKEN="your_token_here"
   

   Linux/Mac:

   export AMINER_TOKEN="your_token_here"
   

Running the Server

You can run the server directly or use it with an MCP client (like Claude Desktop or generic IDEs).

Quick Start (Recommended)

For a guided startup experience with environment and dependency checks:

Windows:

.\start_server.ps1

Linux/Mac:

chmod +x start_server.sh
./start_server.sh

Direct Run (stdio)

python server.py

Inspecting with MCP CLI

You can use the MCP CLI to inspect and test the server.

mcp dev server.py

Tools Available

1. search_scholar:

   • name: Scholar name.
   • org: Organization.
   • offset: Pagination offset.
   • size: Result count.

2. search_paper:

   • title: Paper title.
   • page: Page number.
   • size: Result count.

3. search_patent:

   • query: Search query.
   • page: Page number.
   • size: Result count.

4. get_papers_by_ids:

   • ids: Comma-separated list of paper IDs.

5. search_paper_pro (0.01 CNY/call):

   • Fallback Tool: Use only when strictly necessary.
   • title, keyword, author, page, size.

API References

• Scholar Search: Docs
• Paper Search: Docs
• Paper Search Pro: Docs
• Patent Search: Docs
• Paper Info: Docs

Configuration for Cursor IDE

To use this MCP server in Cursor editor, add the following configuration:

Windows (Cursor config path: %APPDATA%\Cursor\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json):

{
  "mcpServers": {
    "aminer": {
      "command": "python",
      "args": ["-m", "aminer_mcp"],
      "env": {
        "AMINER_TOKEN": "<YOUR_AMINER_TOKEN>"
      }
    }
  }
}

Linux/Mac:

{
  "mcpServers": {
    "aminer": {
    

... [View full README on GitHub](https://github.com/huanghuoguoguo/aminer-mcp#readme)