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Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
MCP server by rhel-lightspeed · ★ 317 · updated yesterday
Tools to allow LLM clients to interact with Linux systems remotely
Choose your AI client and copy the config.
Add to claude_desktop_config.json — macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Then restart Claude.
{
"mcpServers": {
"linux-mcp-server": {
"command": "uvx",
"args": [
"linux-mcp-server"
]
}
}
}Or add to ~/.cursor/mcp.json (global) or .cursor/mcp.json (project).
{
"mcpServers": {
"linux-mcp-server": {
"command": "uvx",
"args": [
"linux-mcp-server"
]
}
}
}Or add to .vscode/mcp.json in your workspace.
{
"servers": {
"linux-mcp-server": {
"type": "stdio",
"command": "uvx",
"args": [
"linux-mcp-server"
]
}
}
}Run in your terminal:
claude mcp add linux-mcp-server -- uvx linux-mcp-serverRun the server directly:
uvx linux-mcp-serverUltra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
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