"Latest Python Libraries and Their Purposes" matching MCP servers:

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

A full-featured secure MCP server for local file system operations, with built-in image processing, OCR and media tools. Fully compliant with the official Model Context Protocol specification, offering standardized request/response schemas, large-file streaming I/O, multi-transport remote deployment, and comprehensive text search & replace functionality for LLM agent integration.

Converts ComfyUI workflows into MCP tools for AI agents to generate images, videos, and other multimedia content.

MCP server for MarkItUp's AI image-annotation pipeline. Generate polished marketing-visual variations of any screenshot, regenerate, AI outpaint, and remove backgrounds — powered by Claude analysis + Gemini rendering.

An MCP server that gives LLM clients access to a SQL Server database and the local filesystem, including file operations and image handling.

Enables text-only agents to process images by accepting image files, base64 data, or URLs, sending them to multimodal models, and returning structured text results via MCP.

Enables driving Inkscape headlessly from an MCP client, with verified SVG editing, rendering, optimization, and animation tools.

Enables AI assistants to programmatically control Adobe Photoshop on Windows to create documents, manipulate layers, and manage image adjustments. It provides a bridge between the Model Context Protocol and the Photoshop Python API for automated graphic design workflows.

Provides tools for searching and downloading images using Google Image Search API.

Identifies LEGO parts, sets, and minifigures from local image files using the Brickognize API. It provides specialized tools for specific item recognition and integrates LEGO identification capabilities into MCP-enabled environments.

Compress, resize, crop and convert images via tinify.dev

A local MCP server that provides image processing tools including resizing, cropping, format conversion, compression, rotation, flipping, thumbnailing, watermarking, effects, placeholder generation, and overlaying.

Enables AI image generation using Doubao Seedream models and video generation using Doubao Seedance models through Volcano Engine's API, supporting text-to-image, image-to-image, text-to-video, and task status queries.

Enables AI agents to author node-graph-based procedural graphics as data and render them deterministically via a pinned headless engine, returning validated, hashed image artifacts with full provenance.

Local stdio MCP service that calls GPT Image API to generate images from text, edit images with references or masks, and save images locally while returning absolute paths and file URIs.

Enables printing labels on King Jim Tepra PRO SR5900P over Wi-Fi/LAN, supporting Japanese text, QR codes, and images through natural language.

Enables AI agents to perform deterministic, non-generative image transformations—straightening, cropping, masking, layering, color adjustments, and encoding—as reproducible recipes while preserving immutable originals.

Enables engraving LilyPond sources into cropped, self-contained EPS, PDF, SVG, and PNG assets for placement in page-layout software, with support for files or inline code and helpful diagnostics on failure.

Enables AI clients to control a running Blender instance through the Model Context Protocol, allowing scene inspection, object creation and editing, rendering, and execution of Blender Python. It works locally via a WebSocket bridge between the MCP server and a Blender add-on.

A macOS utility that captures screenshots and analyzes them with AI vision, enabling AI assistants to see and interpret what's on your screen.