Retrieve local adjustment settings for the active mask in Lightroom Classic, including exposure, contrast, and highlights parameters.
MIT
164,225 tools. Last updated 2026-05-31 04:16
"Implementing a Local Inpainting Function with Mask Generation Using Canvas" matching MCP tools:
- Upload a local file to a Canvas course. The returned file ID can be used to add the file as a module item or attach it to a conversation.MIT
- Download a file from a Canvas course to your local filesystem. Use file IDs from list_course_files or list_module_items.MIT
- Download a completed video generation to a local file. Provide the operation ID from a previous generation request after confirmation of completion.Apache 2.0
- Remove or replace objects in images using AI inpainting to edit visual content by specifying what to change with text prompts.MIT
- Preview a grayscale luminance mask to verify which tonal areas are affected by a local adjustment before processing.MIT
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- Alicense-qualityCmaintenanceA local MCP server for Canvas LMS that enables querying courses, assignments, grades, modules, and more from any MCP-compatible AI client.Last updated17MIT
- AlicenseBqualityCmaintenanceA TypeScript-based MCP server that enables interaction with Azure Table Storage directly through Cline. This tool allows you to query and manage data in Azure Storage Tables.Last updated183MIT
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Manage your Canvas coursework with quick access to courses, assignments, and grades. Track upcomin…
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- Remove or replace unwanted objects in images using AI inpainting. Provide an image URL and describe the changes to apply.MIT
- Chat with local LLMs using conversation history, system messages, tool calling, and adjustable generation settings.AGPL 3.0
- Reverse the selection of a mask in Lightroom Classic to edit different areas of a photo. Specify a mask ID or invert the active mask.MIT
- Retrieve specific mask details from ProPresenter presentations using the mask ID to access and manage visual elements in your production workflow.MIT
- Edit specific image regions by applying a mask and prompt to generate content in masked areas, enabling targeted image modifications.MIT
- Modify images using text prompts, optionally with masks, and save edited versions to local files for creative adjustments.MIT
- Remove unwanted elements from images using AI-powered inpainting. Select mask shapes and positions to replace specific areas with new content generated from text prompts.MIT
- Create images from text prompts, edit existing images with inpainting, or apply artistic styles using the Ideogram V3 Balanced model.
- Remove text and watermarks from images using AI-powered OCR and inpainting technology. This tool processes images to eliminate unwanted text elements while preserving the original visual content.
- Retrieve the thumbnail image for a specific mask using its ID.MIT
- Generate new image content within masked areas of existing images using AI-powered inpainting to modify or restore specific regions.ISC
- Generate new image content within masked areas of an existing image while using a reference image to guide style or character consistency through IPAdapter technology.ISC
- Generate images by combining ControlNet guidance, inpainting with masks, and IPAdapter style/character references to modify specific areas while maintaining overall composition.ISC
- Generate new images by inpainting masked areas using ControlNet guidance from pose, depth, or edge maps for controlled AI image editing.ISC