paper-search-mcp-openai vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	paper-search-mcp-openai by adamamer20	filesystem by modelcontextprotocol
Stars	★ 13	★ 85,748
30d uses	—	—
Score	39	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsSearch	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	8 mo ago	this month

paper-search-mcp-openai · Summary

Python-based MCP server for searching and downloading academic papers from multiple sources.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

paper-search-mcp-openai · Use cases

Assist researchers in finding relevant papers by searching across multiple academic databases
Automate literature reviews for research projects by downloading and analyzing papers
Enhance LLM knowledge with current academic papers for more accurate responses

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

paper-search-mcp-openai · Install

Installation

Quick Start

**Install Package**:

``bash uv add paper-search-mcp ``

**Configure Claude Desktop**:

Add this configuration to ~/Library/Application Support/Claude/claude_desktop_config.json (Mac) or %APPDATA%\Claude\claude_desktop_config.json (Windows): ``json { "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 } } } } ``

Install via Smithery

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

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.