Create images from text prompts with specific color palettes using Amazon Nova Canvas. Generate visuals for mockups, diagrams, and design concepts by providing descriptive text and hexadecimal color values.
164,172 tools. Last updated 2026-05-31 02:42
"Novu" matching MCP tools:
- Create custom images from text descriptions using Amazon Nova Canvas AI. Save generated visuals directly to your workspace for design projects and visual content creation.
- Convert text prompts into high-quality images with customizable dimensions, negative prompts, and configuration settings. Ideal for visual content creation and prototyping.MIT
- Generate images matching the layout and composition of a reference image using text prompts and control modes. Specify attributes to include or exclude for precise output customization.MIT
- Edit specific areas of an image by applying text prompts to mask and inpaint designated regions, enabling targeted modifications while preserving image integrity.MIT
- Extend images by generating outpainting content using text prompts and masks. Define output dimensions, control generation precision, and exclude unwanted attributes for tailored visual expansions.MIT
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Query and explore Nova Scotia open datasets via the Socrata SODA API.
Search, explore, and analyze hundreds of datasets from the Nova Scotia government's datasets
- Create variations of input images while preserving core content. Adjust parameters like similarity strength, dimensions, and prompts to customize output. Ideal for generating creative edits or adapting visuals.MIT
- Create custom images using a specified color palette and text prompts with the AWS Nova Canvas MCP Server. Adjust dimensions, exclude unwanted attributes, and optionally reference an image for precise visual output.MIT
- Generate and return a thumbnail image by specifying width, height, and image source (URL or local file path) with a maximum size of 1048578 pixels.MIT
- Remove image backgrounds automatically to isolate subjects. Input an image path and receive a cleaned image file, enhancing focus on the main content for editing or design purposes.MIT
- Run a SoQL query against a Nova Scotia Open Data dataset. SoQL is SQL-like. Key clauses (combine with &): $select=col1,col2 — choose columns $where=field='value' — filter rows (use single quotes for strings) $where=field like '%val%' — partial match $order=field DESC — sort $limit=50 — row count (default 25, max 50000) $offset=50 — pagination $group=field — group by (use with aggregate functions) $q=search term — full-text search Aggregates: count(*), sum(col), avg(col), min(col), max(col) Examples: $where=year='2024'&$order=total DESC&$limit=10 $select=department,count(*)&$group=department&$order=count(*) DESC $where=area like '%Halifax%'&$limit=5 Always call get_dataset_metadata first to find exact field names.Connector
- Search the Nova Scotia Open Data catalog (data.novascotia.ca) for datasets by keyword, category, or tag. Returns dataset names, IDs, descriptions, column names, and direct portal links. Use list_categories first to see valid category and tag names. Use the returned dataset ID with query_dataset or get_dataset_metadata for further exploration.Connector
- Returns all dataset categories and popular tags available on the Nova Scotia Open Data portal. Use this first to discover valid category names before calling search_datasets with a category filter.Connector
- Search the Nova Scotia Open Data catalog (data.novascotia.ca) for datasets by keyword, category, or tag. Returns dataset names, IDs, descriptions, column names, and direct portal links. Use list_categories first to see valid category and tag names. Use the returned dataset ID with query_dataset or get_dataset_metadata for further exploration.Connector
- Run a SoQL query against a Nova Scotia Open Data dataset. SoQL is SQL-like. Key clauses (combine with &): $select=col1,col2 — choose columns $where=field='value' — filter rows (use single quotes for strings) $where=field like '%val%' — partial match $order=field DESC — sort $limit=50 — row count (default 25, max 50000) $offset=50 — pagination $group=field — group by (use with aggregate functions) $q=search term — full-text search Aggregates: count(*), sum(col), avg(col), min(col), max(col) Examples: $where=year='2024'&$order=total DESC&$limit=10 $select=department,count(*)&$group=department&$order=count(*) DESC $where=area like '%Halifax%'&$limit=5 Always call get_dataset_metadata first to find exact field names.Connector
- Retrieve full schema and metadata for a Nova Scotia Open Data dataset by its 8-character identifier (e.g. '3nka-59nz'). Returns all column field names, data types, and descriptions — essential before calling query_dataset so you know the exact field names to use in $select and $where clauses.Connector
- Returns all dataset categories and popular tags available on the Nova Scotia Open Data portal. Use this first to discover valid category names before calling search_datasets with a category filter.Connector
- Retrieve full schema and metadata for a Nova Scotia Open Data dataset by its 8-character identifier (e.g. '3nka-59nz'). Returns all column field names, data types, and descriptions — essential before calling query_dataset so you know the exact field names to use in $select and $where clauses.Connector