An MCP Server for image processing that uses the Sharp library to provide image manipulation functionality. 这是一个用于处理图片的MCP Server，使用 sharp 库提供图片处理功能。

Model Context Protocol server for image handling

High-performance MCP image compression service for AI assistants with intelligent optimization and batch processing capabilities

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An MCP server providing tools for image processing operations

MCP server for PixelPanda — 31 AI image processing tools for Claude Desktop, Cursor & other MCP clients

Pay-per-call image & PDF processing for AI agents — 21 operations over plain HTTP and native remote MCP, paid per request in USDC via x402 v2 on Base + Solana. No accounts, no API keys, files never stored. Public guide: quick start, MCP connection, pricing, payment flow.

## Overview A collection of 6 MCP-compatible file processing servers. Works with any MCP-compliant client. ## Servers | Server | File | Purpose | |--------|------|---------| | archive_server | servers/archive_server/server.py | ZIP/RAR/7z/TAR/GZ | | image_server | servers/image_server/server.py | JPG/PNG/GIF/BMP/SVG/TIF | | media_server | servers

MCP server for Google Gemini image generation, editing, and processing

MCP server for app image asset generation - Microsoft Foundry + SkiaSharp post-processing: resize, crop, transparency and icon set export

MCP server with comprehensive image processing tools - resize, crop, optimize, extract colors, apply filters, create placeholders and more. Optional integration with Pexels and Pixabay for image search and download.

A free and open-source multimedia toolkit built on FFmpeg. Convert, compress, extract, cut and batch-process audio, video and images, or drive the same engine from the CLI, an MCP server or the AI Copilot.

MCP server for AI-powered image and video analysis - supports OpenAI, Claude, and multimodal vision APIs with local file and URL processing

An MCP server for processing images using Florence-2

An MCP server for processing images using Florence-2

File and media processing MCP server: images, PDFs, audio, video, OCR

Python utilities for nature observations processing - images and bioacoustics. Including MCP.

FastMCP server providing advanced OCR capabilities with current state-of-the-art models (DeepSeek-OCR, Florence-2, DOTS.OCR, PP-OCRv5, Qwen-Image-Layered decomposition), WIA scanner control, and multi-format document processing for PDFs, CBZ comics, and images.

Image processing pipeline for AI agents u2014 resize, convert, optimize, batch. Privacy-first with EXIF stripping.

Agent-drivable generative creation studio on the desktop: 310 MCP actions across 26 families cover everything the interface can do. Local models on the machine — GGUF LLMs, offline dictation — and cloud generation of images, video and 3D, with API keys encrypted in the main process, never exposed to the renderer.

8 MCP servers for AI agents: PDF generation, QR/GS1 barcodes, WCAG accessibility scans, image processing, link previews, data validation, EN 16931 e-invoices

Integrate your applications with the Handwriting OCR service to effortlessly upload documents, check their processing status, and retrieve OCR results in Markdown format. Enhance your workflows by automating text extraction from images and PDFs with ease.

Portable MCP runtime with 21 tools for processes, files, images, Chromium profiles and Windows desktop control. Shared OpenAI and Cloudflare connections with owner-approved OAuth.

What your coding agent can do without asking you. Reads every settings file that contributes permission rules — managed policy, project, local, user — and reports the merged picture: which file each rule came from, which defaultMode wins, what proceeds unattended, and which rules the client accepts and then ignores (path rules on Write/Glob, unanchored allow globs, /path rules in user settings that anchor at the config directory, allow rules a deny rule reaches first). Four read-only tools: whats_allowed (full summary), permission_sources, rule_findings, unattended_surface. Read-only by construction — no child processes, no network, no writes; values of env entries are never read, only their names. MIT licensed. Free and MIT, with no telemetry and nothing held back. Built by Shift The Culture, who also publish paid kits for the failure modes this server surfaces: https://shifttheculture.media/agent-tools

MCP server to empower your agent with enterprise-grade Gemini integration for codebase analysis, live search, text/PDF/image processing, and more on your favorite MCP clients.

Local-first vision-language pipeline inspired by VL-JEPA. Compress images, text, conversations, and RAG documents locally via Ollama before sending to any LLM API. Deterministic, fact-preserving token optimizer plus MCP server, FastAPI server and video processing.

C# MCP server exposing Windows ETW (.etl) trace analyzers — CPU, scheduler waits, image loads, file/disk/mmap/network I/O, memory resources, CLR runtime — over Claude Code, Codex, and other MCP clients. Common uses: app startup, slow process creation, AV/EDR stalls, disk regressions.

The Magic Lane Model Context Protocol (MCP) Server enables any AI agent or application to become a geospatially intelligent assistant, capable of acting as a reliable companion for pedestrians, cyclists, and drivers alike. Built on top of Magic Lane's advanced mapping and routing technology, this TypeScript-based MCP server empowers AI agents to: - Understand and process geospatial data - Interpret user intent in a spatial context - Deliver accurate, contextually relevant navigation guidance By leveraging Magic Lane's global map data and real-time geospatial intelligence, the MCP Server enables deeply personalized navigation and trip-planning experiences through core tools: - Intelligent Search: find addresses, points of interest (POIs), or coordinates with intelligent search capabilities and POI category filtering. - Smart Routing: generate optimized routes between multiple waypoints with support for various transport modes, route preferences, and dynamic POI integration. - Round Trip Planning: create circular routes that start and end at the same location, perfect for jogging routes, cycling loops, or delivery runs. - Reverse Geocoding: convert geographic coordinates into detailed address information including street name, city, state, country, and postal code. - Isochrone Analysis: calculate reachability polygons showing areas accessible within specific time or distance constraints. - Route Visualization: create visual map images of calculated routes, isochrones, and round trips for immediate geographical context and presentation. - Geofence Management: create, manage, and query geographic boundaries for asset monitoring, location-based alerts, and spatial analysis with support for polygons, circles, and rectangles. - Interactive Map: Display an interactive vector tile map directly inside the conversation using MapLibre GL JS and MagicLane vector tiles. Supports location views, route visualization, isochrone overlays, round trip routes, search result markers, geofence areas, and custom coordinate paths — with one or many overlays per map and pan/zoom interactions. The map functionalities can be visualized as high-quality map images through our new beta feature to generate custom map views with markers, bounding boxes, or location-centered areas without route calculation, complementing route visualization for routes, isochrones, and round trips. Together, these capabilities enable AI agents to act as true geospatial copilots - understanding spatial context, anticipating user needs, and optimizing every journey with precision and ease.

Value public companies from SEC EDGAR XBRL financials with cleaned annual and quarterly line items and analysis tools.

An intelligent MCP server with a fully automated batch pipeline for web-ready images. Features include noise reduction, auto levels/curves, JPEG artifact removal, 4K resizing, smart sharpening with shadow/highlight enhancement, and advanced WebP conversio

MCP server for image cropping and merging operations with sharp

MCP server which allow LLM in agent mode to analyze image whenever it needs

MCP server and CLI for local image uncensoring and inpainting models

Image conversion and manipulation MCP Server

MCP server for Google Gemini image generation and editing

MCP server that splits large images into optimally-sized tiles for LLM vision (Claude, OpenAI, Gemini, Gemini 3)

Self-hosted FFmpeg media processing for AI agents and apps via HTTP and MCP, with optional natural-language workflows and A2A support.

MCP server that prevents LLM vision downscaling, tiles large images & screenshots so Claude, GPT-4o, and Gemini see every detail

MCP server that exposes image analysis tools to LLMs via the Model Context Protocol.

Self-hosted local image editor + MCP server. 80 ops, browser canvas, AA-compliant, MIT.

Model Context Protocol (MCP) server for image resizing, conversion, compression and watermarking. Resize, convert, compress and watermark images, pure JavaScript. Works with Claude Desktop, Claude Code and Cursor.

On-device image tools for AI agents (MCP): background removal, compression, resize, crop, AI upscale, metadata removal. Images never leave your computer.

An MCP-compatible image augmentation tool powered by Albumentations. Built for Claude, Kiro, and other AI agents.

Image editing MCP for Cursor & Claude: remove background, blur BG, upscale, OCR, PDF, Gemini text edits, inpainting, bulk tools. Model Context Protocol.

Model Context Protocol server implementation for GIMP 3.

ForgeSyte is a modular AI‑vision MCP server

Effortlessly resize, convert, optimize, and transform images with a single MCP server—then upload them directly to S3, Cloudflare R2, or Google Cloud Storage. Ideal for AI workflows, automation scripts, and developers who want seamless image handling in one tool.

本地 Pillow 图片处理 MCP：12 工具（信息/缩放/裁剪/转换/压缩/旋转/翻转/缩略图/水印/特效/占位/叠加），离线零成本，经 dsh-mcp-client 接入 DSH。Local Pillow image MCP with 12 tools for DeepSeek Harness, offline & free. | Platforms: macOS/Windows/Linux (Python+Pillow)

MCP server for Moondream AI vision API with caption, query, detect, point, and segment capabilities

Bulk AI image generation on your own Windows PC: FLUX.2, Qwen-Image, SDXL and more via stable-diffusion.cpp. Batches, reference images, LoRAs, upscaling, an OpenAI-compatible API and an MCP server for AI agents. No cloud, no account.

Run AI image tools for Claude, Cursor, and VS Code with PixelPanda MCP Server for local edits and product photo generation

A collection of tools to help an AI agent understand images through requests. After giving a single image, the request to zoom in and look about colors, measure dimensions, just a miscellaneous feature set to extend an AI agent in image handling.

Simple, fast viewer for MRI/CT (DICOM) images written in Rust, with an MCP server so Claude can look at them. macOS, Windows, Linux. Informational use only, not for diagnosis.

MCP Server for Markly.cloud - watermark images via AI agents

Deterministic, non-generative image transform MCP server for AI agents — straighten, crop, mask, layer, and encode with reproducible recipes and immutable originals.

MCP server for AI image generation, transformation, and style management via the Recraft API. 16 tools for text-to-image, inpainting, vectorization, upscaling, and more.

Visual memory infrastructure for AI agents, built on Cloudflare and MCP.

MCP server for generating ASCII art from images - Convert images to text or PNG ASCII art with multiple character sets and color modes. Supports both stdio and HTTP transport.

MCP ExifTool服务器：提供图片/视频元数据读取和编辑工具

Free private photo-to-cartoon and print studio: local computer vision, image analysis, reusable recipes, optional text-model direction and local MCP tools.