"Methods for Categorizing Images" matching MCP servers:

Enables Windows users to connect Antigravity CLI as an MCP subagent for coding tasks such as file reading, code execution, edits, and terminal commands, with model selection, conversation continuity, and streaming progress.

Enables AI agents to execute SSH commands, read files, and list directories on remote hosts with a configurable command-safety policy.

Enables executing commands and transferring files over SSH on multiple hosts concurrently, with auto-discovery from SSH config and support for various authentication methods.

An MCP server that grants AI agents unrestricted file system, Python, and PowerShell access on Windows for real, unfiltered automation.

An MCP server that provides tools to interact with CLI applications, enabling process management including start, stop, check status, send input, and read output.

Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.

Enables MCP clients to run Cline CLI prompts and isolated repository-wide analyses, returning terminal text responses with model, duration, and usage/cost.

Enables users to interact with container registries through the ORAS CLI, providing information about container images, platforms, and signatures via natural language queries.

Enables AI assistants to manage Portainer container environments through natural language, including deploying stacks, managing containers, images, volumes, networks, and executing commands.

Enables running planned batches of shell commands in parallel locally or over SSH, with dependency ordering, timeouts, cancellation, and per-task result collection.

An MCP server that enables running CLI for Microsoft 365 commands through GitHub Copilot Agent, allowing users to interact with Microsoft 365 services using natural language.

Enables AI assistants to interact with and manage Minecraft servers through a standardized interface, supporting server monitoring, player management, log analysis, and command execution.

Enables LLMs to perform automated penetration testing and Active Directory reconnaissance through Mythic, with tools for executing PowerShell, AD recon, domain user enumeration, and Kerberoasting.

MCP server that exposes Podman host management as tools, allowing natural language control of containers, images, volumes, networks, and pods. Includes an administrative console with safety profiles for gated access.

Enables AI assistants to manage Docker containers, images, networks, volumes, and Docker Compose services through the Model Context Protocol.

Enables n8n AI agents to manage MikroTik routers via SSH/SSE, providing tools for firewall, DNS, DHCP, WireGuard, interfaces, queues, backup, users, logs, and routes.

Convert, resize, crop, rotate, filter, and composite images from the command line — a lightweight, dependency-free, ffmpeg-style alternative to ImageMagick for still images. Wraps the imgcli CLI and exposes convert_image, probe_image, and list_filters tools.

Enables agents to perform core Docker container operations via MCP tools, including listing, inspecting, running, starting, stopping, and removing containers, listing and pulling images, reading logs, and listing volumes. It executes commands safely through the host's docker CLI using argument arrays rather than shell strings.

Provides agentic MCP tools for the Flux Framework, enabling job submission, management, and resource scheduling for HPC workloads.

Expose your VS Code workspace's tools — files, terminal, LSP, diagnostics, and images — to remote MCP clients over a public HTTPS tunnel.

MCP implementation for connecting to the Mochify image processing API to convert, compress and resize images.

Enables an AI assistant to drive a Color Computer 3 emulated in MAME, including entering BASIC commands, mounting disk images, capturing screen snapshots, and peeking/poking memory.

Enables AI assistants to see and control Android devices by capturing screenshots as images, tapping, swiping, typing, launching apps, inspecting UI elements, transferring files, streaming audio/video, and running shell commands. Uses scrcpy's binary control protocol for fast input and near-instant screenshots, with ADB fallback for interaction tools.

Enables file operations and bash command execution on the local workspace, securely exposed to ChatGPT via OpenAI Tunnel.

A server that manages conversation context for LLM interactions, storing recent prompts and providing relevant context for each user via REST API endpoints.

Enables AI agents to locally inspect Android APKs over MCP by decompiling Java, decoding resources, searching classes and methods, tracing references, and producing evidence reports with limitations.

Self-hosted server that lets ChatGPT, Grok, and stdio MCP clients read and write files, run PowerShell/CMD and interactive processes, and drive the Windows desktop through screenshots, window info, clicks, drags, and keyboard input. It connects via OpenAI Secure MCP Tunnels, an OAuth authorization-code + S256 PKCE HTTPS endpoint, or local stdio, exposing 38 tools under the user's own Windows account.

Enables arithmetic operations (add, subtract, multiply, divide) through a custom Model Context Protocol implementation, containerized with Docker for easy deployment.

A comprehensive MCP server enabling LLMs to execute commands, manage files, interact with Figma, search the web, generate images, and more, extending their capabilities beyond text generation.

A starter template for building Model Context Protocol (MCP) servers with mcp-framework. It includes an example tool and CLI for adding more tools.