filesystem vs decipher-research-agent

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

	filesystem by modelcontextprotocol	decipher-research-agent by mtwn105
Stars	★ 85,748	★ 151
30d uses	—	—
Score	77	45
Official	✓	—
Categories	File SystemDeveloper ToolsProductivity	Web ScrapingAI / LLM ToolsProductivity
Language	TypeScript	TypeScript
Last commit	this month	12 mo ago

filesystem · Summary

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

decipher-research-agent · Summary

AI-powered research assistant that uses MCP server to create interactive notebooks from web 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

decipher-research-agent · Use cases

Academic researchers analyzing multiple sources for literature reviews
Market researchers conducting competitive intelligence across regions
Journalists investigating topics with geo-restricted information

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.

decipher-research-agent · Install

Installation

Prerequisites

Node.js 20+ and pnpm
Python 3.12+ and uv
PostgreSQL 14+

Quick Start

Clone the repository

git clone https://github.com/mtwn105/decipher-research-agent.git
cd decipher-research-agent

Set up the frontend

cd client
pnpm install
cp .env.example .env.local
# Configure your environment variables
pnpm prisma generate
pnpm prisma migrate dev

Set up the backend

cd ../backend
uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv sync
cp .env.example .env
# Configure your environment variables

Start the development servers

# Terminal 1 - Frontend
cd client && pnpm dev

# Terminal 2 - Backend
cd backend && uv run uvicorn server:app --host 0.0.0.0 --port 8001

MCP Configuration

This project uses Bright Data's MCP Server. After getting your API token, configure it in your environment variables.

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