Upload audio files to ElevenLabs for inpainting workflows. Returns a song_id to edit or extend tracks, optionally extracting a composition plan for mutation.
MIT
304,902 tools. Last updated 2026-07-22 11:00
"Implementing a Local Inpainting Function with Mask Generation Using Canvas" matching MCP tools:
- Replace or extend image regions by describing the desired content in text. Provide a source image, a mask marking the area to repaint, and a prompt—the tool fills the masked area accordingly.MIT
- Download a file from a Canvas course to your local filesystem. Use file IDs from list_course_files or list_module_items.MIT
- 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
- Apply or replace a dynamic data mask on a column in a Fabric warehouse or SQL endpoint to protect sensitive data.MIT
- Sets a temporary breakpoint on a C++ function, then uses clangd to get its signature and references and GDB to retrieve local variables.MIT
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- Alicense-qualityDmaintenanceA local MCP server for Canvas LMS that enables querying courses, assignments, grades, modules, and more from any MCP-compatible AI client.Last updated6MIT
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- Retrieve a specific file from Canvas using its file ID. Optionally set a local destination for the download.MIT
- Edit existing images using AI prompts. Optionally apply a mask to modify specific regions while preserving the rest.MIT
- Edit images using inpainting with OpenAI GPT models. Apply edits to transparent areas of a mask while preserving faces and logos with adjustable fidelity.MIT
- List AWS service IDs and specs compatible with the design canvas, drawing from local repository specifications.MIT
- Remove unwanted objects from images by describing them. No mask required. Detects and inpaints objects like people, cars, or watermarks.MIT
- 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.MIT
- Remove or replace objects in images using AI inpainting to edit visual content by specifying what to change with text prompts.MIT
- Remove or replace unwanted objects in images using AI inpainting. Provide an image URL and describe the changes to apply.MIT
- Preview a grayscale luminance mask to verify which tonal areas are affected by a local adjustment before processing.MIT
- Chat with local LLMs using conversation history, system messages, tool calling, and adjustable generation settings.AGPL 3.0
- Build MCP server packages for deployment using uv build after implementing tools in the specified project directory.MIT
- Extract structured data like URLs, function names, or error messages from unstructured text using a local LLM.MIT
- Replace the background of an image by providing a mask that defines the background area and a prompt describing the new scene.MIT
- 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