"Indexing a codebase for accessible contextual queries" matching MCP servers:

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

A small MCP server that wraps MoneyMoney on macOS via AppleScript, exporting account lists and transactions (bookingDate, amount, name, purpose) as plists for invoice reconciliation, complementing a companion Apple Mail server.

Enables an AI agent to operate a spare Android phone through MCP: capture screenshots, inspect UI controls, tap/swipe, input Chinese text, launch apps, and optionally run rooted shell commands or transfer files. It also supports a live web console for remote viewing and control.

A modern, extensible server that provides a unified interface to control and interact with various macOS applications through plugins.

Enables any AI agent to perceive and control a Windows desktop through live screen capture, OCR, and safety-gated mouse/keyboard actions via a local HTTP API and MCP.

An MCP server that enables secure terminal command execution, directory navigation, and file system operations through a standardized interface for LLMs.

A server that enables programmatic interaction with an already running Abaqus/CAE GUI application, allowing users to execute Python scripts and retrieve message logs through the Model Context Protocol (MCP).

Enables MCP clients to discover desktop applications with structured metadata and receive native accessibility trees and screenshot content through Open Computer Use, preserving upstream tool results and image blocks.

Enables Claude to see and interact with any macOS application using natural language commands. Perfect for testing Mac applications, UI automation, and app development with AI assistance.

An MCP server that provides weather alerts and forecasts, system shutdown/restart, smart browser search, and screenshot capture.

Node.js server implementing Model Context Protocol that enables seamless interaction between Windows and Linux distributions under WSL, allowing file operations like reading, writing, searching, and managing files across the WSL filesystem from Windows.

Provides AI agents with environmental sensing capabilities including current time, IP-based geolocation, system information, and hardware details. Enables more contextual and accurate AI responses based on user's environment.

Enables MCP hosts to observe and operate macOS apps by reading accessible controls, entering text, clicking, scrolling, capturing screenshots, and performing on-device OCR, with background app control and explicit human authorization.

vnc-mcp allows MCP-compatible LLMs to interact with any desktop accessible over VNC

Provides read-only access to query and retrieve information about devices, fleets, events, and configurations managed by Flight Control through a safe integration layer supporting filtering and selector-based queries.

Enables MCP-compatible LLMs to interact with any desktop accessible over VNC, providing tools for screen reading (OCR), mouse and keyboard control, and automation.

The ultimate Windows MCP server for remote desktop control and automation. Control any Windows machine through the Model Context Protocol — perfect for AI agents, Claude Desktop, and OpenClaw integration. Transform your Windows desktop into a powerful, remotely-accessible automation endpoint. Run on the Windows machine you want to control. Built with FastMCP and the Model Context Protocol.

Enables LLMs to interact with ROS1 Noetic robotic systems by providing tools for topic management, service calls, and parameter configuration. It also supports node inspection, coordinate transform queries, and message introspection via the Model Context Protocol.

A production-ready MCP server that enables AI assistants to manage enterprise Active Directory environments through 45 specialized tools for users, groups, and GPOs. Its multi-client architecture allows for the secure management of multiple AD domains from a single codebase using natural language commands.

Enables AI agents to control a physical Android device or Docker-hosted emulator over ADB by taking screenshots and performing taps, swipes, key presses, text input, shell commands, app launches, and device info queries. It runs as a local MCP stdio server alongside a web UI and REST API for remote access.