gptr-mcp vs filesystem

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

	gptr-mcp by assafelovic	filesystem by modelcontextprotocol
Stars	★ 346	★ 85,748
30d uses	—	—
Score	47	77
Official	—	✓
Categories	SearchAI / LLM ToolsProductivity	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	6 mo ago	this month

gptr-mcp · Summary

MCP server for deep research, providing comprehensive web search and report generation capabilities.

filesystem · Summary

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

gptr-mcp · Use cases

Investment research and analysis
Competitive intelligence gathering
Academic research support
Market trend analysis
Content creation with verified sources

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

gptr-mcp · Install

Installation

Clone the repository:

git clone https://github.com/assafelovic/gpt-researcher.git
cd gpt-researcher/cd gptr-mcp

Install dependencies:

pip install -r requirements.txt

Set up environment variables:

cp .env.example .env
# Edit .env with your API keys

Claude Desktop Configuration

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "gptr-mcp": {
      "command": "python",
      "args": ["/absolute/path/to/gptr-mcp/server.py"],
      "env": {
        "OPENAI_API_KEY": "your-openai-key-here",
        "TAVILY_API_KEY": "your-tavily-key-here"
      }
    }
  }
}

Running the Server

Directly: python server.py
With Docker: docker-compose up -d

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.