"Command Line Interface (CLI) for CMD" matching MCP servers:

Model Context Protocol server implementation that integrates the LINE Messaging API to connect AI agents with LINE Official Accounts, enabling agents to send messages to users.

Resilient multi-CLI orchestration server for AI agents that routes tasks to Claude, Gemini, or Codex with automatic retry, circuit breaker, and fallback.

An MCP server that bridges AI assistants to other CLI tools, enabling capabilities like large-context reads, vision, file generation, and cross-vendor verification without API keys.

MCP server that gives AI coding agents (Claude Code, Cursor, Cline, etc.) access to multiple AI models through Antigravity CLI and OpenAI Codex CLI, enabling mid-conversation model consultation and code review.

Wraps opencode CLI's HTTP API into MCP tools for agent run, session management, and server status, plus a fleet webapp dashboard.

Exposes Rovodev CLI as MCP tools for interacting with Rovodev agent, including session management, streaming chunk-caching, and tool-based CLI operations.

Local MCP server for BOSS Zhipin workflows. Exposes 49 tools for job search, welfare filtering, recruiter messaging, pipeline tracking, and resume optimization for AI agents.

Connects MCP-compatible AI clients to an explicitly authorized Windows, macOS, or Linux computer for controlled Machine, Browser, and Desktop execution, including files, shell commands, native apps, and local browser sessions. Also offers a separate hosted Cloud Browser for browser tasks that should run outside the user's own workstation.

MCP orchestrator that loads modular bricks on demand, reducing AI agent context usage by ~65%.

Enables ZCode to control a real Chrome browser, including tabs, navigation, page content, clicks, form filling, keyboard input, scrolling, screenshots, and JavaScript evaluation through a local MCP bridge.

Enables interaction with OpenClaw agents via MCP, supporting natural language queries and session management.

Provides MCP clients with a local gateway to the official command-line tool, enabling headless prompts and structured output while automatically rotating API keys on rate-limit responses so long-running sessions are not interrupted.

MCP bridge for calling local coding-agent CLIs (Codex, Claude) from another agent, enabling bounded tasks like code review, verification, and bug hunting.

A Model Context Protocol (MCP) gateway for running Claude Code, Codex, Gemini, Grok, and Mistral (Vibe) CLIs from one MCP endpoint, with durable async jobs, session continuity, cache-aware prompting, observability, and personal-appliance setup tooling. Why developers try it: one local MCP endpoint for cross-LLM validation, multi-agent coding workflows.

Enables MCP-compatible clients to manage AI agent teams, including agents, Kanban issues, projects, goals, approvals, budgets, and raw API access.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

Enables OpenAI-compatible clients to access external tools, APIs, repositories, and data sources through MCP with allowlisting, approval, and argument validation, deployable as a FastAPI service or Python library.

Enables ChatGPT to delegate writing, analysis, second opinions, and Japanese text polishing to Gemini through a single ask_gemini tool, without copying text to Gemini's web interface. Self-hosted on Cloudflare with your own Gemini API key and Google login.

Exposes Coze workflows as MCP tools, allowing AI clients to discover and execute workflows from a specified Coze workspace. It provides a simple way to integrate external skills into platforms like OpenClaw without needing local environment configurations.

Flask-based server that exposes callable tools via HTTP endpoints for AI agents like Gemini CLI, enabling agent orchestration, tool introspection, and workflow automation with a centralized tool registry.