"Shell" matching MCP servers:

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.

MCP server that provides audit and safety-check tools for enterprise SDLC code integrity, enabling AI agents to scan workspaces for lifecycle gaps, mock-theater tests, DRY violations, and language-specific issues in shell, JavaScript/HTML, and Python.

A MCP server that enables AI assistants to control Android devices via ADB, supporting device info, screen control, input simulation, app management, shell execution, file transfer, and UI parsing.

Enables AI agents to control, inspect, and automate Android devices, Waydroid containers, and AVD emulators over ADB. Provides tools for screenshots, UI-hierarchy text-based tapping, gestures, key presses, text input, app management, and raw shell commands.

Enables an AI agent to drive an Android app under development on a local emulator or connected device through adb, observing the screen and performing taps, swipes, text entry, key presses, waits, screenshots, logcat and crash inspection. It is restricted to debug builds installed via Run in Android Studio, so agents can exercise only the app being developed.

Gives headless CAD agents a deterministic, dependency-free STL audit that checks manifoldness, plate grounding, single-shell structure, wall thickness, and normal orientation, returning a printable verdict with a critic score. Enables agents to gate and iteratively repair generated meshes before slicing or printing.

Enables static analysis and code smell detection by connecting to an external analysis API.

Gives a compatible coding agent read-only access to bounded local verification of changes inside a single host-chosen workspace, exposing six stdio tools that inspect capabilities, static checks, impact analysis, policy evaluation, evidence generation, and suggested tests without shell access, plugin loading, or repository upload.

Enables running Swift package tests through the swift test command in specified directories. Provides a secure way for MCP clients to execute Swift tests without requiring full shell access.

A universal interceptor that sits between any AI model's tool calls and shell execution, routing them through a supervisor daemon that inspects AST deltas, subprocess output, and hash-chained ledgers before work is allowed. It enables users to kill deleted assertions, trivial stubs, phantom test runs, and cyclic self-debate loops deterministically at the compiler, process, and filesystem boundaries rather than via prompt instructions.

Enables coding agents to start and operate live kernels on local machines, Modal GPUs, or Colab VMs, running code, notebook cells, shell commands, and file transfers while inspecting variables, plots, and errors. It also runs notebooks, scripts, and web UIs end to end as budget-capped plans that verify expectations and report what failed and what changed.

Enables AI agents to bootstrap a self-contained Android SDK and headless emulator from scratch, then debug and test apps through 25 tools covering screenshots, UI-tree inspection, tapping/typing, APK install and launch, shell/file transfer, settings, and logcat. All downloads and emulator state live inside the project folder, so deleting it fully uninstalls the environment.

MCP server for developing Quickshell widgets that lets AI agents render individual widgets to PNG previews offscreen, without screen capture or affecting the live shell.

Free, MIT-licensed MCP testing harness with Jay: risk-based testing workflows, exploratory and regression checks, accessibility investigation, bug triage, disposable demos, and protected local evidence reports. Runs locally via @testers-ai/carbon-mcp; the coding agent supplies model, browser, and shell access, and analytics defaults off in the npm edition.

Enables an LLM to run a project's real test suite and SonarQube scan against on-disk projects using throwaway, socket-proxied containers without granting raw shell access.

Provides deterministic, offline, sourced resolutions for 44 mobile game development problems spanning performance, memory, rendering, store policies, IAP billing, crash vitals, live-ops emergencies, and store-policy deadlines, along with pre-launch checklists and launch-day runbooks. It also statically audits project directories for Google Play and App Store compliance, including target SDK, 16 KB ELF alignment, privacy manifests, and secret-file exposure, without any network calls or shell execution.

A testing environment for MCP server setup and client-server interactions, allowing users to verify basic MCP server functionality and test client-server communications including shell command execution.