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    Minimal MCP server for editing tldraw .tldr files via JSON manipulation. Headless, no browser needed.
    18
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    Enables reading, writing, and validating .tldr files for tldraw, a headless implementation without browser dependencies.
    MIT
  • A
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    A minimal MCP server for AI-driven canvas manipulation and visualization using tldraw. It enables AI clients to programmatically create, update, and manage shapes, flowcharts, and frames on a live interactive canvas.
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    MIT
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    Enables AI agents to read, write, and search local tldraw (.tldr) files, providing a persistent visual scratchpad for diagramming and note organization. It supports full CRUD operations on canvas shapes and metadata management for local canvas files.
    25
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    MIT
  • F
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    This project integrates tldraw with Claude AI using the Model Context Protocol (MCP). It allows Claude to create and manipulate diagrams based on natural language instructions.
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  • F
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    Enables remote agents to control tldraw Desktop's Canvas API, manage documents, scripts, assets, and take screenshots.
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  • F
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    Provides a standalone MCP server for tldraw diagrams, enabling clients to create, edit, and persist multiple canvases over Streamable HTTP with semantic protocol v2.
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    Enables Claude to draw on a live tldraw canvas from prompts, with real-time visualization in a browser. Provides tools for creating, updating, deleting shapes and retrieving canvas state.
    14
    MIT
  • A
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    Renders LEGO LDraw model files (.ldr, .mpd, .dat) to high-quality images using headless Blender, enabling MCP clients to visually inspect LEGO builds.
    3
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    MIT
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    Enables bidirectional communication between AI agents and a tldraw canvas, allowing agents to push content as interactive cards and users to select cards for conversation context.
    6
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    MIT
  • A
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    Enables an infinite canvas for Codex using tldraw, with tools for canvas state, assets, images, HTML, and slide containers, all saved locally.
    1
    MIT