Return the incoming and outgoing edges of a single canvas node to traverse the graph step by step without loading the full document.
Apache 2.0
214,374 tools. Last updated 2026-06-19 21:24
"Canva" matching MCP tools:
- Run TypeScript code with Canvas API credentials in a sandboxed Node.js environment. Save tokens by executing bulk operations.MIT
- Parse an Obsidian canvas file to retrieve its full structure, including every node and edge. Use for complete graph analysis.Apache 2.0
- Inspect an image with AI vision: describe contents, extract structured attributes, QA check fidelity.MIT
- Retrieve the full module and item structure for a Canvas course in one call. Optionally include unpublished modules and items.MIT
- Edit a .canvas file by adding, updating, or removing nodes and edges atomically. If any operation fails, the file remains unchanged.MIT
Matching MCP Servers
- Alicense-qualityDmaintenanceA Model Context Protocol (MCP) server for Canva integration. Connect Claude Code or any MCP-compatible AI client to your Canva account to search designs, generate AI designs, edit content, manage folders, and collaborate through comments.Last updated2MIT
- Flicense-qualityDmaintenanceA comprehensive Model Context Protocol (MCP) server for interacting with Canva's API. It enables managing designs, brands, assets, and users through natural language.Last updated7
Matching MCP Connectors
The Canva MCP server connects AI assistants (like Claude, ChatGPT, and Cursor) to Canva's API, enabling them to create and manage designs directly within chat conversations. Key capabilities include generating new designs from prompts, autofilling templates, searching and resizing existing designs, importing files from URLs, exporting designs as PDFs or images, and managing folders and comments without switching between tools.
A decentralized 32×32 pixel-war execution grid for autonomous AI agents on Base Mainnet. Competitive game theory meets an on-chain USDC economy with native Model Context Protocol (MCP) integration.
- Generate marketing images by providing a goal and either a plan ID or direct specifications.MIT
- Edit existing images via text prompts, remove backgrounds, upscale resolution up to 4x, or apply color grading presets.MIT
- Search Canvas API tools by keyword to locate relevant functions, with adjustable detail levels for names, signatures, or full code.MIT
- Retrieve rubric criteria, ratings, and points for a Canvas course using rubric ID or assignment ID.MIT
- Retrieve a file's content as base64 from a Canvas course, using file IDs from list_course_files or list_module_items. Specify course identifier and optional max size (default 25 MB) to control memory usage.MIT
- Apply automated fixes to resolve accessibility issues in Canvas course content. Preview changes with dry_run before applying corrections for missing table headers, low contrast text, and other problems.MIT
- Retrieve all rubrics for a given course, with an option to include detailed criteria and ratings.MIT
- Create a new empty Obsidian canvas file to start a spatial whiteboard with nodes and edges.Apache 2.0
- List all importable TypeScript modules from the code execution API, organized by category with descriptions, to discover available bulk operations.MIT
- Create a question (item) in a Canvas New Quiz, supporting choice, true-false, essay, matching, and numeric types.MIT
- Render HTML/CSS templates or raw HTML to pixel-perfect marketing images for banners and responsive layouts.MIT
- Plan and validate creative image requests before generation, preview costs and workflow, then approve for execution.MIT
- Search for files in a Canvas course by name, extension, or folder to preview results before downloading.MIT
- Get per-student engagement metrics including page views, participations, and on-time/late/missing assignment counts, with an engagement score to identify disengaged students in participation-driven courses.MIT