"Automating a QA End-to-End Workflow" matching MCP servers:

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Converts any Python Click or Typer CLI into an MCP server automatically — zero-code transformation that introspects CLI commands and exposes them as MCP tools.

MCP server that routes Claude Desktop chat into Claude Code, enabling headless execution and terminal handoff with session continuity.

Enables AI agents to securely connect to and manage remote servers via SSH, with tools for running commands, file operations, log inspection, service management, and system monitoring under configurable access controls and audit logging.

Enables AI assistants to diagnose, troubleshoot, and manage PC settings on Windows, macOS, and Linux through natural language commands.

An MCP server that lets Claude query Google's Gemini CLI as a sub-agent. Get second opinions, verify information, and cross-reference answers between AI models.

Enables cloud agents to securely operate local machine resources (files, commands, screenshots) via standard MCP protocol.

Acts as a unified dispatch hub for local coding agent CLIs, supporting capability-based routing, schema validation, and retries via MCP tools.

Exposes Creatio CLI (CLIO) commands as tools for AI agents to manage Creatio environments. It enables users to perform environment health checks, restart web applications, and execute raw CLI commands through a stateless HTTP transport.

Wraps Kali Linux penetration testing tools for authorized security assessments, driven by a local LLM via LM Studio.

Enables MCP-capable agents to drive a real FPGA toolchain end to end—simulating, asserting, synthesizing, scanning JTAG, capturing on-chip waveforms, and configuring real silicon behind confirmation gates.

A simple MCP server that exposes a terminal tool, allowing AI agents to execute shell commands.

Enables AI agents to drive OpenFOAM end to end: cloning tutorials or custom cases, editing dictionaries, meshing and running solvers in the background, tracking convergence and job status, and analyzing results. It also renders flow images — slices, patches, streamlines, iso-surfaces and residual or force plots — back to the agent.

Read-only MCP server for TrueNAS Scale debugging, providing k3s tools for kubectl operations and whitelisted midclt calls for system info, apps, and pools.

Enables AI assistants like Claude, Codex and ChatGPT to actually operate a computer — finding files, running commands, taking screenshots and driving a browser — and, after a one-time pairing, to help on family members' computers anywhere. Connections between machines are end-to-end encrypted through a relay, requiring no VPN, port forwarding or router setup.

Enables AI coding agents and terminal users to dispatch local files directly to paired mobile phones or other peers over Blip's end-to-end encrypted peer-to-peer transfer, automatically discovering paired devices and avoiding desktop confirmation prompts. It also exposes tools to list paired devices and report daemon health and recent transfer history.

Enables AI clients to connect by URL, approve once, and then call dozens of native tools to drive a Windows machine — mouse and keyboard input, screenshots, native dialogs, and shell commands. Access is controllable end to end, with live session counts, scoped and rotatable keys, per-path toggles across relay, tunnel, tailnet, or web dashboard, and one-click revocation.

Enables end-to-end testing of CLI applications, REPLs, and TUIs by driving interactive pseudo-terminal sessions and reading clean rendered output through any MCP client.

An MCP front-end for AnB. The tool surface is "use-don't-reveal": no tool returns a plaintext secret. Reveal paths require a TTY the server doesn't have, so the no-reveal guarantee is structural, not prompt-based — it holds even against a prompt-injected agent. Runs as a dedicated, narrowly-scoped AnB identity; exec is default-deny (only allowlist rules tagged scope=mcp run); command output

MCP server that exposes compiled rote pipelines as callable tools. The rote CLI compiles a proven agent skill into a deterministic workflow, and rote serve lets any MCP client trigger the deployed pipelines and poll their status.

MCP server that exposes grok-ask and grok-workflow tools, enabling Claude Code to delegate to Grok for consult/worker tasks and run adversarial multi-agent workflow panels.

A MCP server that enables human-in-the-loop workflow in AI-assisted development tools by allowing users to run commands, view their output, and provide textual feedback directly to the AI assistant.

Enables automating GNS3 network labs via the Model Context Protocol, including managing projects, nodes, links, virtual machines, and console commands from ChatGPT.

MCP server that exposes Ansible modules to AI agents with a search-schema-check-execute workflow, enabling safe ad-hoc runs via check mode by default. It provides tools to search modules, fetch schemas, run modules, and list collections.

MCP server that runs Flyway repair + migrate across multiple database projects for QA or Development environments.

A MCP server enabling LLMs to roll dice

MCP server that turns ChatGPT Web or any MCP client into a coding agent on your own repositories, enabling file editing, command execution, testing, and git workflow without an OpenAI API key.

Enables Codex to manage a local Claude Code companion through MCP, implementing a dual-agent workflow where Codex handles reasoning and review while Claude Code performs engineering tasks.

Provides Claude with direct access to the Open Porous Media (OPM) reservoir simulation stack, enabling running simulations, inspecting results, and automating workflows via natural language.