AgentUp vs filesystem

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

	AgentUp by always-further	filesystem by modelcontextprotocol
Stars	★ 116	★ 85,748
30d uses	—	—
Score	47	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper ToolsOps & Infra	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	1 mo ago	this month

AgentUp · Summary

AgentUp is a Python-based AI agent framework with built-in MCP support for secure, portable agent deployment.

filesystem · Summary

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

AgentUp · Use cases

Enterprise AI applications with security requirements and need for deterministic behavior
Multi-agent systems requiring secure inter-agent communication and orchestration
Development teams needing to share and reproduce agent environments across different stages

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

AgentUp · Install

Installation

Install AgentUp using pip:

pip install agentup

Create Your First Agent

agentup init

Start Your Agent

agentup run

MCP Configuration

AgentUp includes built-in support for Model Context Protocol (MCP) with full support for STDIO, SSE and Streamable HTTP. Configure MCP by adding the configuration in your agent setup, similar to how you would for Claude, Cursor or VSCode.

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.