Retrieve the complete JSON schema for image generation jobs. Understand all available options, constraints, and examples to create valid configurations.
MIT
509,738 tools. Updated 2026-09-03 10:27
"A method to allow vision models to process and understand image files" matching MCP tools:
- Capture the current chart as a base64 image to share, confirm placement, or feed a vision LLM. Requires explicit user opt-in due to high token cost.Apache 2.0
- Retrieve the Code-Me brand identity to understand its core mission and vision, including naming, philosophy, and tagline.MIT
- Generate AI images or videos asynchronously by submitting a task and polling for the result. Supports text-to-image, image-to-video, reference-to-video, and video editing models.MIT
- Retrieve the active vision provider, model, and image limits configured for this MCP server.MIT
- Generate an image from a text description and get a hosted URL. Review image models and costs using list_models.MIT
Matching MCP Servers
- FlicenseNot gradedqualityBmaintenanceEnables pure text LLMs to understand images by acting as a proxy to vision models via OpenAI-compatible APIs. Supports local files, URLs, and base64 inputs for image analysis.
- AlicenseAqualityCmaintenanceAI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.417MIT
Matching MCP Connectors
Render HTML and CSS to PNG images over HTTP. Send HTML and CSS and get a PNG back.
Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.
- Generates accessible alt text for any image URL using vision AI. Solves missing image descriptions for screen readers and SEO by automatically providing descriptive text.MIT
- Read large files as compact line-numbered images for vision models, cutting token usage by ~7x. Handles single or multiple paths in one call.MIT
- Generate images from text descriptions using Pollinations models. Supports optional reference images for image-to-image generation.Apache 2.0
- Upload an attachment (image or document) to a Jira issue using a remote file URL or base64 content. Returns attachment metadata with ID and download URL.MIT
- Describe and analyze an image via a vision model. Provide an image URL or base64 data, optionally with a prompt, to get a text description.MIT
- Shows a process tree with parent-child hierarchy and depth information, enabling you to trace spawned children and understand process relationships. Optionally filter to a specific PID's subtree.MIT
- Fetch image attachments from a Jira issue as viewable image content, enabling vision-capable AI models to see and describe them directly, bypassing text extraction.MIT
- Capture a single camera frame from a ROS 2 topic as base64, enabling vision-language models to see the robot's view. Specify a compressed topic for faster, smaller results.MIT
- Upload local files, URLs, or base64 data to get a public URL for using in AI generation tools (image, video, audio). Files stored for 3 days.MIT
- Inspect an image with AI vision: describe contents, extract structured attributes, QA check fidelity.MIT
- Fetch an image attachment from a Plane task and return it as MCP image content, letting vision-capable models view screenshots directly without URL downloads.MIT
- Get a binary upload URL for local image files to avoid base64 corruption. PUT raw bytes to the returned URL and receive a file_id for vision tools.MIT
- Check if the OS clipboard contains an image and verify vision configuration. Use to diagnose vision_see failures or confirm readiness before requesting a screenshot.MIT
- List models available on the remote server with capability flags for chat, vision, image, speech, music, video, and 3D. Pick model IDs to use with generation tools.Apache 2.0