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"AI Agent Coder with Awareness of Various SDKs" matching MCP servers:

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    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.
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    Lightweight MCP server that exposes tools for system information and weather lookup, designed for agent integration via stdio.
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    A local MCP server for trusted NixOS automation that enables inspecting files, applying patch sets, and validating/switching NixOS or Home Manager configurations.
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    MIT
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    Local MCP server for observing and controlling an authorized Android device over USB using ADB and scrcpy, providing screen capture, UI automation, app inspection, logcat, and evidence recording.
    29
    MIT
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    A local MCP server that controls Android devices via ADB, enabling AI agents and users to manage devices, execute UI automation, and perform testing through 27 MCP tools and an optional web console.
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    MIT
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    Full computer control for AI agents on macOS — see, click, type, scroll via MCP. Works with any app, all processing on-device with PII protection.
    MIT
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    An MCP server and CLI for controlling FarmBot hardware, enabling AI agents to manage gardening tasks through tools like gantry movement and device status monitoring. It supports executing Lua scripts and core hardware commands like homing and emergency stops via the Model Context Protocol.
    3
    MIT
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    Enables AI assistants to capture screenshots and control desktop input (mouse, keyboard) to see and interact with your screen. Features user-first safety controls including automatic pause on user activity and app allowlists to restrict interactions to approved applications only.
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    MIT
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    A local evidence recorder that captures screenshots, recordings, notes, and summaries during long-running agent tasks, enabling reviewable task records with timelines and artifacts.
    4
    MIT
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    A Windows desktop automation MCP server that enables UI recognition through OCR, UIA controls, and multi-point color matching. It allows agents to interact with desktop applications via actions like clicking and typing while using a learning system to track and improve operation success.
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    This MCP server enables an AI agent to control a Windows PC through human-like interactions such as screen capture, OCR, mouse, keyboard, and navigation, without using shortcut APIs.
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    A cross-platform MCP server that enables AI assistants to manage printers, query printer status, and print files on Windows, macOS, and Linux.
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    Enables AI agents to directly control your real Chrome browser with full context including login sessions, cookies, and open tabs. It provides tools for page scanning, JavaScript execution, CDP control, screenshots, and physical mouse/keyboard input for authentic browser automation.
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    MIT