context-lens vs filesystem

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

	context-lens by cornelcroi	filesystem by modelcontextprotocol
Stars	★ 22	★ 85,748
30d uses	—	—
Score	42	77
Official	—	✓
Categories	SearchDeveloper ToolsAI / LLM Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	6 mo ago	this month

context-lens · Summary

Semantic search knowledge base for MCP-enabled AI assistants that indexes local files or GitHub repos using LanceDB vector storage.

filesystem · Summary

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

context-lens · Use cases

Indexing codebases to quickly understand complex projects and answer specific questions about implementation
Analyzing documentation and contracts to find specific clauses and terms across multiple documents
Building knowledge bases from GitHub repositories to enable AI assistants to understand open source projects

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

context-lens · Install

Installation

Context Lens is available via PyPI and can be installed with:

pip install context-lens

Claude Desktop Setup

Add to Claude Desktop configuration:

{
  "mcpServers": {
    "context-lens": {
      "command": "uvx",
      "args": ["context-lens"]
    }
  }
}

Cursor Setup

Add to .cursor/mcp.json:

{
  "mcpServers": {
    "context-lens": {
      "command": "uvx",
      "args": ["context-lens"]
    }
  }
}

Other MCP Clients

For any MCP-compatible client:

{
  "mcpServers": {
    "context-lens": {
      "command": "uvx",
      "args": ["context-lens"]
    }
  }
}

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.