"Executing CLI commands" matching MCP servers:

Enables AI agents to explain regex patterns in plain English and statically assess ReDoS risk before shipping, without executing the pattern or requiring an API key.

Provides bounded, read-only analysis of local project directories, enabling inventory, marker detection, and safe file reads without executing code.

Local-first, zero-egress security scanner for AI-generated / "vibe-coded" JS/TS. Bundles Opengrep, Gitleaks & Trivy behind one CWE-keyed schema and adds AI-code-specific checks (client-side secret exposure, Supabase RLS, prompt-injection & LLM-output XSS sinks). No account, no telemetry.

MCP server that runs JetBrains' ReSharper command-line tools for code inspection and cleanup, exposed to C# coding agents over stdio.

Lets AI agents and users analyze Mitsubishi MELSEC .gx3 projects directly, tracing coil conditions, checking device references, comparing program changes, and inspecting ladder logic without opening GX Works3.

A Model Context Protocol server that provides clj-kondo linting capabilities for Clojure/ClojureScript/EDN files, useful for environments like Claude code and desktop that lack built-in linting.

Own your sovereign AI model. Domain-specific fine-tuning of open-source LLMs and SLMs with total control and zero infrastructure hassle. Tuning Engines provides specialized tuning agents to tailor top open models to your needs — fast, predictable, fully delivered. Fine-tune Qwen, Llama, DeepSeek, Mistral, Gemma, Phi, StarCoder, and CodeLlama models from 1B to 72B parameters on your data via CLI o

An MCP server that provides technical consultation, code review, and code explanation by integrating with OpenAI's Codex CLI, enabling AI-powered coding assistance in a sandboxed, read-only environment.

Enables deterministic verification for AI assistants by executing Python code that uses symbolic engines like SymPy and Z3 for math, logic, and code analysis.

A lightweight MCP server that enables AI agents to perform deep codebase analysis by leveraging Gemini's massive context window for cross-file analysis and intelligent file selection.

MCP server for AI agents to work with GenLayer projects, providing tools to run GenLayer CLI, lint contracts, and deploy contracts with automatic private key handling.

Enables orchestrating multiple AI CLI agents (Claude Code, Codex, Gemini CLI, Copilot CLI) through a unified MCP interface for task delegation, cross-agent comparison, and specialized tools like code review and debugging.

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 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.

Exposes git-quick-stats commands as MCP tools to analyze git repositories via natural language.

Enables proof-backed code audit via MCP tools for AST-based code maps, symbol lookup, callers, audit commands, and persistent verdict memory.

Exposes all major ILSpy CLI features as separate MCP tools for decompiling .NET assemblies, enabling automated end-to-end processing and structured JSON reports.

Enables local-first task contract generation and drift/sludge guard checks for coding tasks, with CLI and VS Code extension support.

MCP server exposing the rizin CLI for static binary analysis of executables.

Enables AI assistants to perform Swift code audits and detect unused code in iOS/macOS projects using Periphery CLI.