command-line
16 servers · 2,517★ total
🤖 Local-assist BOSS Zhipin CLI for AI agents — search, welfare filtering, shortlist, JSON-envelope output; low-risk & compliant by default.
A universal CLI client for MCP. mcpc supports persistent sessions, stdio/HTTP, OAuth 2.1, tasks, JSON output for code mode, proxy for AI sandboxes, x402, and more.
Persistent, local memory for developers and their coding agents. Records commands, output, errors, and the fixes that worked into SQLite and serves them over MCP.
Lets Claude actually use your terminal. You ask, Claude types the command into your Warp tab, captures the output, and tells you what happened. Works from Claude Desktop or right inside Warp's built-in AI agent. An MCP server with 39 tools — command execution, project setups, file watching, SSH, clipboard. macOS, Swift.
MCP server and CLI for seven macOS apps — Messages, Mail, Notes, Calendar, Reminders, Contacts and Maps. Native frameworks, honest truncation.
DaVinci Resolve CLI, Python library, and MCP server. Automate editing, color, and rendering with LLM-friendly tools for AI agents (Claude, Cursor), declarative specs, and structured JSON output. No more silent None returns.
dk — CLI for Dakera self-hosted AI agent memory. Manage memories, namespaces, vectors, knowledge graphs, and sessions.
CLI and MCP server for smbCloud: email service on smbCloud Mail, authentication apps on smbCloud Auth, and app deploys. One Rust binary.
AI-powered Jira CLI and MCP server for humans and agents manage issues, sprints, boards with interactive wizards, multi-provider AI (OpenAI/Gemini/Anthropic), and an 14-tool MCP server for AI assistants
macOS menu bar SSHFS mount manager with an MCP server — 30+ tools so AI agents can mount, heal, wake and operate your remote machines
Command-line interface for Declaw — security-first sandboxing for AI agents
A command-line client for Huly built on huly-mcp, featuring project and issue management, search, direct MCP tool calls, and Agent Skill support.
Contribution research for agents: check repository guidance, related work, code context, and validation before writing a patch.