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altk-evolve vs filesystem

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

altk-evolve
by AgentToolkit
filesystem
by modelcontextprotocol
Stars★ 84★ 85,748
30d uses
Score4677
Official
Categories
AI / LLM ToolsDeveloper ToolsKnowledge Graph
File SystemDeveloper ToolsProductivity
LanguagePythonTypeScript
Last committhis monththis month

altk-evolve · Summary

Evolve provides AI agents with memory and learning capabilities through MCP server integration.

filesystem · Summary

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

altk-evolve · Use cases

  • Enhance coding assistants with learning capabilities from past interactions
  • Create knowledge-sharing systems for AI agents across teams
  • Improve reliability of AI agents on complex multi-step tasks

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

altk-evolve · Install

Installation

Prerequisites:

  • Python 3.12 or higher
  • uv (recommended) or pip

From Source:

git clone https://github.com/agenttoolkit/altk-evolve.git
cd altk-evolve
uv venv --python=3.12 && source .venv/bin/activate
uv sync
# Build the UI
cd frontend/ui
npm ci && npm run build
cd ../..

From PyPI:

pip install altk-evolve

Configuration

For direct OpenAI usage:

export OPENAI_API_KEY=sk-...

Running Services

Start the Web UI and MCP server:

uv run evolve-mcp

The Web UI can be accessed from: http://127.0.0.1:8000/ui/

Claude Desktop Integration

Add to Claude Desktop configuration:

{
  "mcpServers": {
    "evolve": {
      "command": "uv",
      "args": ["run", "evolve-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.