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

A secure Model Context Protocol server that allows AI models to safely interact with Windows command-line functionality, enabling controlled execution of system commands, project creation, and system information retrieval.

Enables Command Code to run Kujo tools and Agent Skills locally as MCP tools, including repository inspection, change analysis, and release readiness checks.

MCP server for managing Markdown-Driven Task Management (MDTM) files with task, parent task, environment, and workflow management, enabling structured development workflows.

Provides safe, controlled access to network and system diagnostic tools including ping, nmap, dig, traceroute, curl, and whois for troubleshooting connectivity, scanning ports, and performing DNS lookups through whitelisted commands with security validation.

Lets developers and MCP agents run deterministic local HTML audits, turning inline HTML into structured findings for missing labels, unnamed buttons, skipped headings, ambiguous links, duplicate IDs, and missing landmarks. It also exposes a rule list and returns stable, actionable reports without external API keys.

Generates and manages slash commands for AI coding assistants like Claude Code and Cursor, supporting both interactive CLI and programmatic MCP access.

MCP server for interfacing with the official Model Context Protocol registry. Enables Claude and other MCP clients to dynamically discover, browse, search, and manage MCP servers directly from GitHub.

A Model Context Protocol server that allows AI development tools like Cursor and Claude Desktop to retrieve detailed YAPI interface information by interface ID.

This server automatically validates consistency between AI-generated frontend and backend code by enforcing OpenAPI 3.0 specifications. It injects smart constraints into AI prompts to ensure that generated data structures and API calls remain synchronized across the entire stack.

Provides a structured map of 120 practical AI prompts across 6 business domains, enabling users to quickly generate complete prompts for specific tasks using slash commands or tools.

An MCP server that provides a user confirmation interface for AI assistants via terminal.

CLI and stdio MCP server for noticed. Exposes ~50 noticed agent capabilities (network search across GitHub + LinkedIn, missions, PRM, memory, workspace, web search, cron, ...) via two meta-tools — search + execute — to any MCP-aware client (Claude Code, Claude Desktop, Cursor, ChatGPT).

Enables AI agents to inspect Figma selections, navigate pages, render previews, generate starter code, and submit user-approved canvas edits through a local bridge.

A CLI + bundled MCP server for managing Google Play Console metadata, screenshots, one-time products, and subscriptions from YAML files.

MCP server that wraps the jira-cli command-line tool to enable AI assistants to interact with Jira.

CLI and MCP server for reading and writing Elementor page data on WordPress.

Exposes Task CLI operations to AI clients as structured MCP tools, enabling task creation, listing, completion, and read-only project status while sharing the same local storage as the command-line interface.

This server lets MCP clients delegate coding tasks to a locally installed Qwen Code CLI, enabling second opinions, parallel work, and clean separation from the main context.

Delegates coding tasks to the locally installed Kimi Code CLI, reusing its auth, models, and configuration while adding tools for sessions, replies, model discovery, live turn steering, and history access.

A token optimised ClickUp CLI with built in MCP server that provides an efficient way to get data from ClickUp without consuming large amounts of LLM context