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

This server provides an API to query Large Language Models using context from local files, supporting various models and file types for context-aware responses.

Enables developers and product owners to scan a codebase and extract a readable business overview—features, roles, access control, data model, and endpoints—along with findings on missing or inconsistent rules, and generate shareable HTML or Markdown reports and diagrams.

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.

Local MCP server for parsing Sketch exported HTML zip archives and extracting design structure information.

Enables interactive editing of scientific SVG figures in chat, allowing users to open, inspect, modify, undo/redo, and export SVGs through direct manipulation or natural language commands.

An MCP server that converts SVG files into Marp presentations, with features like text extraction and PNG conversion.

Connects Claude to Sketch Engine for corpus linguistics and text analysis, enabling queries on collocations, concordances, word usage, and more via natural language.

MCP server that manages in-memory SVG path canvases and provides preview URLs for rendering in a sandbox iframe via AIRI's surface contract.

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.

Enables processing, validation, optimization, and analysis of 3D models with glTF/GLB support, including format conversion, compression (Meshopt/Draco), texture optimization, and detailed model statistics.

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.

Enables AI coding assistants to search, inspect, and generate clean, standardized vector SVG emoji components directly into their codebases.

Enables image processing tasks such as resizing, compressing, converting formats, cropping, and extracting metadata directly within IDEs like Cursor via the Model Context Protocol.

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.

Converts LaTeX math expressions to SVG. Enables AI assistants to render mathematical formulas as scalable vector graphics.

MCP server that parses .sketch design files into CSS-aligned, LLM-friendly JSON, enabling AI coding agents to generate high-fidelity HTML, Vue, or React code.

Enables AI assistants to convert CSS-animated SVGs into videos (MP4/WebM/MKV/MOV) and animated images (aPNG/GIF) with frame-accurate rendering and transparency support.

Reduces Claude's context window costs by automatically summarizing inactive files to their public interfaces using AST parsing, keeping only the full contents of the currently active file.

MCP server that generates Disler-style fusion-harness README diagrams with dark GitHub chrome, monospace type, role colors, and CSS flow animations.

Generates SVG diagram files from Mermaid syntax with support for multiple themes and customizable backgrounds, using Puppeteer for reliable rendering.