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"Handling Sketch File Context and SVG Processing Overview" matching MCP servers:

  • A
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    A Sketch file processing MCP server that enables AI tools to analyze Sketch design files and generate code, with smart token optimization and 16 professional tools for design element discovery and analysis.
    17
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    19
    MIT
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    Connects Claude to Sketch Engine for corpus linguistics and text analysis, enabling queries on collocations, concordances, word usage, and more via natural language.
    10
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    MCP server that manages in-memory SVG path canvases and provides preview URLs for rendering in a sandbox iframe via AIRI's surface contract.
    8
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    An MCP server for Claude Code that enables the creation and manipulation of professional-grade SVG graphics using features like layer management, complex path drawing, and animations. It includes AI-assisted design capabilities for color suggestions and layout optimization, supporting exports to SVG and PNG formats.
    79
    1
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    Provides a collaborative SVG canvas that allows Claude to create, read, and manipulate graphics in real-time through a browser-based Fabric.js editor. It enables seamless bidirectional interaction between the AI and user for visual tasks like UI prototyping, diagramming, and template management.
    22
    MIT
  • A
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    Not graded
    quality
    A
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    Proxies the GitHub MCP server, returns compact schema instead of raw JSON, and enables agents to extract specific fields locally via query_response, reducing context size and cost.
    155
    3
    MIT
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    MCP server that generates Disler-style fusion-harness README diagrams with dark GitHub chrome, monospace type, role colors, and CSS flow animations.
    5
    MIT
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    quality
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    A read-only MCP server that provides document awareness for agents by parsing local files into structured profiles, blocks, chunks, and search results, enabling agents to understand and cite document content without dealing with raw file formats.
    5
    38
    3
    Apache 2.0
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    license
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    quality
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    An MCP server that preserves LLM context by intercepting large data outputs and returning only concise summaries or relevant sections. It enables efficient sandboxed code execution, file processing, and documentation indexing across multiple programming languages and authenticated CLIs.
    11
    19,534
    20,092
    Elastic 2.0
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    Enables blazingly fast file and content searching in large codebases using ripgrep, with intelligent filtering, fuzzy finding, and directory tree visualization while respecting .gitignore and avoiding common bloat directories.
    4
    13
    2
    MIT