"Tools and Platforms for Image Generation" matching MCP servers:

Enables AI agents to perform image processing tasks such as sprite sheet splitting, resizing, cropping, and batch operations on local images.

Enables image generation and editing via ChatGPT web without API keys, saving images locally with conversation-aware editing.

Enables AI agents to perform local video, audio, and file operations inside an isolated workspace, including cutting/concat videos, extracting audio, transcribing, and managing files, with typed responses and background job support.

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

Connects Claude Code to image generation models (OpenAI GPT Image 2, Google Nano Banana) for generating, editing, and converting images via natural language.

MCP server for personal knowledge management providing AI-powered tools for semantic search, audio transcription, image generation, and PPT creation.

Enables image understanding, OCR, multi-image comparison, and AI image generation through pluggable models, supporting tasks like visual analysis, text extraction, and image synthesis.

Enables sandboxed file operations via MCP tools, resources, and prompts, with a Claude CLI client and Groq-powered web UI for file CRUD, search, code review, and documentation generation.

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

Enables local batch image preparation for the web via MCP, including compression, resizing, metadata stripping, thumbnails, and favicon generation.

Enables autonomous generation of long-form YouTube documentaries (15-25 minutes) with minimal human intervention, focusing on historical niches like Byzantine history.

Enables Claude to generate and edit images using OpenAI's GPT Image models, with automatic model selection and local file saving.

An MCP server that enables Claude Code and Claude Desktop to generate and edit images using OpenAI's gpt-image-2 model, with results saved to disk.

Exposes OpenAI's gpt-image-2 (image generation and editing) as an MCP server for tools like generate_image, edit_image, and iterative edit sessions.

Enables Claude Code to generate and edit images using Google's Gemini and Imagen models on Vertex AI, with support for multiple models, aspect ratios, and image fusion.

Relays a result screenshot to Slack so you can review a coding agent's output without opening the app.

Enables coding agents to generate and edit images using Gemini and OpenAI image models, saving files directly into the project with configurable providers, models, and security restrictions.

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 LLM chat UIs that lack native image generation to create images inline through a Venice AI API endpoint.

Provides image recognition for text-only LLMs like DeepSeek by bridging to SenseNova multimodal model, enabling image description via the describe_image tool.