llm-context.py vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
llm-context.py by cyberchitta | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 300 | ★ 85,748 |
| 30d uses | — | — |
| Score | 50 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsAI / LLM ToolsProductivity | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 1 mo ago | this month |
llm-context.py · Summary
Smart context management tool that allows sharing relevant project files with LLMs via MCP or clipboard with rule-based customization.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
llm-context.py · Use cases
- Daily development workflow for humans to quickly share relevant project files with LLMs
- AI agents to create focused contexts for specific sub-tasks
- Code review and documentation generation with task-specific rules
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
llm-context.py · Install
# Install as a tool
uv tool install "llm-context>=0.6.0"
# MCP Integration for Claude Desktop
Add to Claude Desktop config (~//Library/Application Support/Claude/claude_desktop_config.json):
```jsonc
{
"mcpServers": {
"llm-context": {
"command": "uvx",
"args": ["--from", "llm-context", "lc-mcp"]
}
}
}Initialize project:
cd your-project
lc-initfilesystem · 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.