"Shell" matching MCP servers:

Audits AI-bot visibility: robots.txt per-bot for 22 AI user-agents (GPTBot/ClaudeBot/PerplexityBot/etc), Cloudflare flags, JSON-LD, sitemap, llms.txt, SPA shell, plus cross-model brand mentions via Perplexity + OpenRouter. 0-100 score. SSRF-guarded, spend-capped.

MCP security server with 7 tools: command safety check, prompt injection detection (32+ rules, zh+en), PII/sensitive data scanning, file path protection, tool policy enforcement, response auditing, and security status. 8-layer defense, zero dependencies.

A read-only MCP server that exposes AI Disk Doctor Core's scan, model inventory, and history tools via local stdio, with no mutation or shell capabilities.

Enables MCP hosts to list and render bundled prompt templates and fetch assistant blueprints for ChatGPT, Claude, Gemini, Grok, or portable Agent Skill format. Operates locally over stdio with read-only tools and no network, shell, account, or file-write access.

Lets MCP clients such as Claude Code, Claude Desktop, Cursor, or Codex hand tasks to the Antigravity CLI (agy) so the work runs on the user's Antigravity plan instead of the client's. Exposes tools for delegated coding tasks and reviews, web search with sources, image/PDF analysis, shell command generation or execution, brainstorming, and model/quota checks.

Exposes each stage of the Champollion sulcal embedding pipeline as MCP tools, enabling agents to run, monitor, and debug the pipeline without manual shell commands.

A fully local persistent memory layer for LLM coding agents (Claude Code, Codex, Gemini CLI, OpenCode). A shell wrapper intercepts tool invocations, fires hooks on every tool call, then runs a 3-layer pipeline (extract → compress to ≤500-token digest → merge into project memory doc) at session end. The next session gets prior context injected automatically.

Exposes an MCP toolset that routes each coding task to the cheapest capable model, from a free local LLM up to Claude, while giving clients file, shell, git, web, memory, knowledge-search and parallel swarm-delegation capabilities. Also allows an OpenAI-compatible REST and WebSocket API to be served for non-MCP clients.

Bareun (바른) is a Korean natural-language engine. This MCP server lets any MCP-compatible client hand Korean text to a dedicated Korean engine instead of guessing: analyze_syntax (morphological analysis with 47 POS tags and beta homograph sense disambiguation), analyze_syntax_raw (raw model output), tokenize, correct_grammar (spelling and spacing correction), and list_pos_tags. Hosted at https://ap

Enables Claude Code to delegate tasks to free OpenRouter models as callable tools while keeping the Anthropic endpoint for the orchestrator, with optional sandboxed file and shell access.

Enables shell-less agents to discover available video capabilities, gather timestamped local evidence such as scenes, frames, motion and audio, and query or diff stored observations through MCP tools. Observation and sample directories act as handles, letting hosts and the CLI read the same evidence.

Provides an agent toolbelt exposing 74 tools spanning files, shell, web, code graph, git, memory, computer, and axodex behind a single process, plus optional gateway endpoints for model routing, verification, and context packing. Ships dual-era MCP support over stdio or Streamable HTTP, with hardcoded tool groups importable for the axo ecosystem.

Provides Korean spell checking and grammar correction via a single tool. It integrates into MCP clients like Cursor or Claude Desktop.

This MCP server bridges Claude Code with the Antigravity CLI (agy), allowing Claude to delegate tasks to Google Gemini models via configurable difficulty tiers. It verifies the actual backend model for every call, provides separate tools for safe ask/research vs. shell exec, and supports long-running background jobs.

Enables MCP clients to run text chat, deep reasoning, vision analysis, and image generation through the xAI Grok API, alongside workspace file read/write/shell tools, web search, speech-to-text and text-to-speech, and background jobs with persistent conversation history in PostgreSQL. Supports both HTTP and stdio transports with per-tool model selection from the live xAI catalog.

Enables persistent execution of Python and shell commands on Google Colab's cloud GPU via a single background daemon, offering a web dashboard and REST API for AI agents without opening new tabs.

Enables users to run and inspect local prompt-regression evaluations over six labeled fictional outreach cases, comparing a baseline and candidate prompt and reviewing per-case checks, failures, token usage, and stored run records. Exposes four local stdio tools (list_cases, run_demo, list_runs, get_run) for reviewing evidence before a human release decision, without granting paid live runs, file access, shell commands, or release approval.

Enables LLM agents to analyze retail shelf photos via computer vision, including product counting, gap detection, price tag reading, and planogram compliance checking.