Adamamer20 Paper Search Openai MCP server

Paper Search MCP

A Model Context Protocol (MCP) server for searching and downloading academic papers from multiple sources, including arXiv, PubMed, bioRxiv, and Sci-Hub (optional). Designed for seamless integration with large language models like Claude Desktop.

Table of Contents

• Overview
• Features
• Installation
• Quick Start
• Install Package
• Configure Claude Desktop
• For Development
• Setup Environment
• Install Dependencies
• Contributing
• Demo
• License

Overview

paper-search-mcp is a Python-based MCP server that enables users to search and download academic papers from various platforms. It provides tools for searching papers (e.g., searcharxiv) and downloading PDFs (e.g., downloadarxiv), making it ideal for researchers and AI-driven workflows. Built with the MCP Python SDK, it integrates seamlessly with LLM clients like Claude Desktop.

Features

• Multi-Source Support: Search and download papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, IACR ePrint Archive, Semantic Scholar.
• Deep Research Ready: Provides the standardized search and fetch tools required by OpenAI Deep Research and ChatGPT connectors.
• Standardized Output: Papers are returned in a consistent dictionary format via the Paper class.
• Asynchronous Tools: Efficiently handles network requests using httpx.
• MCP Integration: Compatible with MCP clients for LLM context enhancement.
• Extensible Design: Easily add new academic platforms by extending the academic_platforms module.

Installation

paper-search-mcp can be installed using uv or pip. Below are two approaches: a quick start for immediate use and a detailed setup for development.

Installing via Smithery

To install paper-search-mcp for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @openags/paper-search-mcp --client claude

Quick Start

For users who want to quickly run the server:

1. Install Package:

uv add paper-search-mcp

Add this configuration to ~/Library/Application Support/Claude/claudedesktopconfig.json (Mac) or %APPDATA%\Claude\claudedesktopconfig.json (Windows):

1. Configure Claude Desktop:

{
     "mcpServers": {
       "paper_search_server": {
         "command": "uv",
         "args": [
           "run",
           "--directory",
           "/path/to/your/paper-search-mcp",
           "-m",
           "paper_search_mcp.server"
         ],
         "env": {
           "SEMANTIC_SCHOLAR_API_KEY": "" // Optional: For enhanced Semantic Scholar features
         }
       }
     }
   }

Note: Replace /path/to/your/paper-search-mcp with your actual installation path.

For Development

For developers who want to modify the code or contribute:

1. Setup Environment:

# Install uv if not installed
   curl -LsSf https://astral.sh/uv/install.sh | sh

   # Clone repository
   git clone https://github.com/openags/paper-search-mcp.git
   cd paper-search-mcp

   # Create and activate virtual environment
   uv venv
   source .venv/bin/activate  # On Windows: .venv\Scripts\activate

1. Install Dependencies:

# Install project in editable mode
   uv add -e .

   # Add development dependencies (optional)
   uv add pytest flake8

Shortened. The full README is on GitHub.