agience-core vs filesystem

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

	agience-core by Agience	filesystem by modelcontextprotocol
Stars	★ 39	★ 85,748
30d uses	—	—
Score	45	77
Official	—	✓
Categories	AI / LLM ToolsKnowledge GraphDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	1 mo ago	this month

agience-core · Summary

Agience is an MCP-native platform that structures AI outputs into durable, versioned artifacts with provenance tracking.

filesystem · Summary

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

agience-core · Use cases

Collaborative knowledge management where AI and humans work with the same information substrate
Audit trail tracking for AI-generated decisions and content in regulated industries
Composable AI agent workflows with structured inputs and outputs via MCP

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

agience-core · Install

Installation Options

**Run at Home (Stable Build)**

# Linux/macOS
curl -fsSL https://get.agience.ai/home/install.sh | sh

# Windows (PowerShell)
irm https://get.agience.ai/home/install.ps1 | iex

**Developer Setup (Build from Source)**

git clone https://github.com/Agience/agience-core.git
cd agience-core
# Linux/macOS
./agience dev -f --build
# Windows
agience dev -f --build

**MCP Client Configuration** For Claude Desktop, add to claude_desktop_config.json:

"mcpServers": {
  "agience": {
    "command": "python",
    "args": ["-m", "agience.mcp"]
  }
}

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.