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LeanKG vs filesystem

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

LeanKG
by FreePeak
filesystem
by modelcontextprotocol
Stars★ 188★ 85,748
30d uses
Score5077
Official
Categories
Developer ToolsAI / LLM ToolsKnowledge Graph
File SystemDeveloper ToolsProductivity
LanguageRustTypeScript
Last committhis monththis month

LeanKG · Summary

LeanKG is a local-first knowledge graph that indexes codebases and exposes them via MCP for AI-assisted development with significant token savings.

filesystem · Summary

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

LeanKG · Use cases

  • AI-assisted code analysis with reduced token consumption by targeting specific code subgraphs
  • Impact radius calculation before making code changes
  • Code dependency visualization and community detection in large codebases
  • Annotation-based code search and traceability

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

LeanKG · Install

Installation

One-Line Install (Recommended)

curl -fsSL https://raw.githubusercontent.com/FreePeak/LeanKG/main/scripts/install.sh | bash -s -- <target>

Supported targets include: cursor, claude, opencode, kilo, antigravity, gemini, codex

Install via Cargo

cargo install leankg && leankg --version

Claude Code Integration

# Install with Claude Code hooks
leankg setup
# Restart Claude Code or run:
/reload-plugins

Configuration

LeanKG creates MCP configuration during setup. For manual setup, see docs/mcp-tools.md for MCP server configuration.

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.