Sandbox
16 repos for command-line-toolClear
rust-mcp-stack/
mcp-discovery

A command-line tool written in Rust for discovering and documenting MCP Server capabilities.

86

A command-line tool that injects credentials to curl requests to known public APIs.

124
Google-Health-API/
google-health-cli

Google Health CLI — one command-line tool for the Google Health API. Includes AI agent skills.

243
superjack2050/
1688-cli

1688 CLI is an AI-agent-friendly command-line tool for 1688 sourcing, product research, supplier evaluation, procurement Inquire, and order management.helping dropshippers and Amazon sellers automate and streamline their sourcing workflow from 1688.

84
googleworkspace/
cli

Google Workspace CLI — one command-line tool for Drive, Gmail, Calendar, Sheets, Docs, Chat, Admin, and more. Dynamically built from Google Discovery Service. Includes AI agent skills.

31k
reolink/
reolink-cli

Official command-line tool for Reolink IP cameras, doorbells and NVRs — LAN only, no cloud. Snapshots, PTZ, RTSP/RTMP stream URLs, two-way audio (talkback/TTS), motion and AI detection, event monitoring, VOD download. JSON output and a built-in MCP server. Works with Home Assistant, Frigate and go2rtc.

94

CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies

80k

Official Model Studio CLI(阿里云百炼 CLI)built for AI Agent frameworks, exposing models, search, multimodal, and workflow capabilities as structured tool calls.

328
oomol-lab/
oo-cli

oo is OOMOL's CLI toolkit. Everything can be done in the CLI.

40
ashuiGordon/
stata-cli

Agent-native Stata CLI for AI coding agents (Codex, Claude Code, Cursor). Run .do files, inspect data, and return econometric results as JSON via PyStata.

56

Agent-driven proactive memory CLI for AI agents — autonomously recall, maintain, and evolve persistent, source-grounded knowledge across sessions.

54

Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved preferences.

819