mcp-chain-of-draft-prompt-tool vs filesystem

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

	mcp-chain-of-draft-prompt-tool by brendancopley	filesystem by modelcontextprotocol
Stars	★ 19	★ 85,748
30d uses	—	—
Score	40	77
Official	—	✓
Categories	AI / LLM ToolsProductivityDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	8 mo ago	this month

mcp-chain-of-draft-prompt-tool · Summary

An MCP server implementing Chain-of-Draft (CoD) reasoning to enhance LLM responses with reduced token usage.

filesystem · Summary

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

mcp-chain-of-draft-prompt-tool · Use cases

Cost-efficient LLM reasoning with reduced token usage
Enhanced accuracy for complex problem-solving tasks
Integration with Claude Desktop and Dive GUI for improved workflows

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

mcp-chain-of-draft-prompt-tool · Install

Installation

Python Installation

Clone the repository
Install dependencies:

``bash pip install -r requirements.txt ``

Configure API keys in .env file:

`` ANTHROPIC_API_KEY=your_api_key_here ``

Run the server:

``bash python server.py ``

Claude Desktop Integration

Add to your claude_desktop_config.json:

{
    "mcpServers": {
        "chain-of-draft-prompt-tool": {
            "command": "python3",
            "args": ["/absolute/path/to/cod/server.py"],
            "env": {
                "ANTHROPIC_API_KEY": "your_api_key_here"
            }
        }
    }
}

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.