"Python Object-Oriented Programming Resources" matching MCP servers:

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.

A Model Context Protocol server that enables fetching and processing images from URLs, local file paths, and numpy arrays, returning them as base64-encoded strings with proper MIME types.

This server enables natural language control of Blender 5.2 LTS through any MCP client, allowing scene inspection, object and material manipulation, rendering, and safe Python execution.

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.

Enables controlling a local Blender instance through natural language or code, allowing arbitrary Python/bpy execution and querying scene or object information via MCP.

An MCP server that enables AI agents to search, retrieve, and curate free stock photos and videos from Pexels, with tools, resources, and prompts for easy integration.

Removes the 'Made with Gamma' watermark from PDF and PowerPoint files exported from Gamma.app using structural and lossless object deletion.

Provides vision understanding capabilities such as image analysis, OCR, object localization, and video frame analysis, plus optional image generation and editing, to coding agents via OpenAI-compatible multimodal models. Runs as a local MCP server with HTTP and stdio transports, configurable for clients like Codex, Claude Code, Kimi, and Cursor.

Official MCP server for the Pedra API, enabling AI real-estate photo editing (virtual staging, renovation, room emptying, enhancement, sky replacement, object removal/blur, and property videos) directly from Claude, ChatGPT, Cursor, and other MCP clients.

Enables generating images, video, and audio through a single capability-oriented interface, with server-side routing, safety screening, job lifecycle management, concurrency limits, and retention.

Provides AI-powered image analysis and OCR capabilities using the Kolosal Vision API. Supports analyzing images from URLs, local files, or base64 data with natural language queries for object detection, scene description, text extraction, and visual assessment.

MCP server that provides visual question answering, image description, object detection, OCR, and image manipulation tools using OpenAI-compatible vision models.

A Python MCP server that gives vision capabilities to text-only LLMs by exposing an analyze_image tool that sends local images to a vision-capable Ollama model and returns textual descriptions.

Provides advanced image analysis capabilities including object recognition, OCR text extraction, and multi-turn visual dialogues using OpenAI-compatible APIs. It supports both local files and Base64 inputs with additional features for session persistence and web-based configuration management.

Enables deterministic, read-only construction of Seedance-oriented video prompts, planning of multimodal reference-aware sequences, prompt diagnosis, and discovery of canonical See Dance 2 resources.

A free, unlimited screen capture and recording MCP server for Python. Captures screenshots and records screen activity with no daily limits.

Enables AI agents to analyze images through vision AI providers (Gemini, OpenAI, Claude), performing tasks like image description, object detection with bounding boxes, region-specific analysis, and precise color extraction without consuming context window with raw pixels.

Enables AI agents and chatbots to access ModelScope's ecosystem of AI resources, including image generation, resource discovery, and more through conversational interactions.