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

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.

Enables AI agents to test Cashfree payment integrations end-to-end by creating orders, simulating payments, listening to webhooks, and verifying signatures via MCP tools.

This server lets coding agents inspect Bugpacker bug packages locally, exposing console output, failed requests, repro steps, and package files over MCP while keeping all data on the machine.

Enables AI agents to verify Ceph CLI commands, config parameters, and review test scripts using a pre-generated knowledge base.

Lightweight Node.js dependency vulnerability audit tool with CLI and MCP Server modes. Supports npm/pnpm, full dependency chain tracing, remote GitHub repo auditing, and generates Markdown/HTML reports.

Enables AI code reviews through the CodeRabbit CLI by exposing a run_review tool that executes CodeRabbit with full flag coverage for analyzing committed, uncommitted, or all changes in a repository.

Enables interacting with, testing, and automating Telegram bots directly from a terminal, using MTProto and Telethon session files to send messages, trigger commands, click inline buttons, fetch history, upload files, and run arbitrary MTProto snippets.

Vendor-neutral CLI and MCP server that verifies the token and cost savings AI-coding-agent context-reduction proxies actually deliver, measured against a real labeled corpus.

Audits any site's UX the way a design-literate reviewer would — contrast, tap targets, type scale, colour discipline, scan patterns, copy — and returns the rule, the source line and the exact fix.

Zero-sidecar MCP server embedded directly in the Godot 4 editor as a GDScript EditorPlugin — no Node or Python sidecar. Reflection-driven tools over any engine class, validate-before-write GDScript, scene/script/resource authoring, and a runtime play-test loop (play, screenshot, input, assert).

Enables authoring, validating, inspecting, blackbox-inventorying, tracing, and capability-querying SPEC.md documents through MCP tools over stdio JSON-RPC. Each tool wraps the same command modules the CLI uses and returns identical JSON envelopes.

Agentic code-quality CLI and stdio MCP server that runs real Python and JS/TS quality engines (Ruff, pytest, ESLint, Prettier, Vitest, etc.) for linting, testing, and reviewing code.

Enables AI agents to run tests, read failures, push new tests, and schedule them, either by connecting directly to a hosted endpoint or via a local stdio bridge.

Webhook capture and replay, delivery pipes, and signed multi-agent rooms. No signup to start.

MCP server that brings Trustabl static reliability scanning into Cursor, letting agents inventory agents/tools, flag risky patterns, score production readiness, and write SARIF reports.

Security scanner for AI agent packages that enables AI agents to audit MCP servers and packages for vulnerabilities, prompt injection, and supply chain attacks.

A reference MCP server that enforces identity-aware tool access using role-based permissions (Reader, Analyst, Auditor) and supports multiple identity routes like Entra RBAC, Copilot Studio, and Okta XAA. It provides read-only access to test evidence with explicit denial paths for unauthorized tools.

Enables checking npm packages for known security vulnerabilities using the OSV API before installation. Supports both single package checks and bulk vulnerability scanning for multiple packages at once.

A simple server implementing the Model Context Protocol (MCP) that echoes messages back, designed for testing MCP clients.

Connects AI assistants to Provar projects for automated test generation, validation, and quality scoring using 170+ rules via Quality Hub API or local validation.