"Integrating Claude Desktop with a Local LLM using the LMStudio API" matching MCP servers:

MCP server that provides a 'borrowed eye' for text-only LLMs, enabling them to identify and describe local images via the Qwen VL vision model, including face recognition, scene description, OCR, and targeted visual questioning.

Enables AI assistants to capture and analyze screen content across multi-monitor setups with smart image optimization. Provides screenshot capabilities and detailed monitor information for visual debugging, UI analysis, and desktop assistance.

Enables Claude Code to leverage Chinese LLMs for multimodal tasks including image analysis, audio transcription, and deep synthesis via MCP protocol.

Local multimodal MCP server for vision, document, audio, video, and GUI automation, all processed locally on Apple Silicon for privacy and security.

A TypeScript MCP server that gives text-only LLMs image understanding through StepFun vision models.

A server that enables Claude Desktop to generate images using Google's Gemini AI models through the Model Context Protocol (MCP).

A Model Context Protocol server that manages desktop images, providing functionality to count, list, and compress image files stored on the desktop.

Enables an agent to read, edit, and build Figma designs from scratch — including style guides, variables, components, and screens — through a local plugin bridge to the open file's Plugin API, with no Figma token or REST API calls.

Enables coding agents to watch and analyze videos by extracting scene-aware frames, transcribing speech, and generating shot timelines, all constrained by a token budget to fit LLM context limits.

Enables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.

An MCP server that enables any LLM to describe images from file paths, URLs, or base64 data by forwarding them to a supported vision provider such as OpenAI, Anthropic, or local Ollama models.

Local-first MCP server for controlling a loopback ComfyUI instance from same-machine or authenticated LAN clients.

An MCP server that enables Claude Code to generate context-aware images using local GPU-powered diffusion models, either automatically during coding or on-demand via slash commands.

Enables taking screenshots of the entire desktop or specific windows, with automatic clipboard integration and support for Windows, macOS, and Linux.

Windows desktop automation MCP server enabling screenshot capture, precise visual locating of UI elements via vision models, and automated mouse clicking.

Lets a text-only LLM read images and PDFs by delegating to a vision model running on your own GPU.

MCP server for Claude Code that enables image generation and editing via Azure AI Foundry's MAI Image API, writing files to disk and returning only the path.

A local (stdio) MCP server for PixelVault — agent-first image hosting, enabling upload of local files by path without base64.

Enables Claude to capture screenshots of the screen, windows, regions, and web pages, and compare screenshots for visual regression testing.

A simple MCP server that reads local images and returns them as ImageContent for LLM vision analysis.