"SVG" matching MCP servers:

Generates SVGs from text prompts and converts raster images to SVG using the Quiver AI API.

Enables AI-powered image to SVG vectorization, background removal, and SVG manipulation directly through MCP-compatible clients. Users can convert images, process batches, and edit vector properties like colors and complexity using the svg.new API.

Zero-dependency charts for Python and AI agents. SVG and PNG, 15 chart types, a one-line MCP server, and a Claude skill.

Convert PDFs to structured JSON. Extract invoices, bank statements, contracts, and more. Pay per call via x402 USDC.

media-gen renders Claude-authored content — SVG markup, HTML documents, or a JavaScript canvas draw() function — into PNG/JPEG/WebP images and MP4 video using headless Chromium and ffmpeg, with no API keys required. It also offers an optional bring-your-own-key path for photorealistic text-to-image and text-to-video generation via OpenAI, Gemini, or fal.ai.

Generate SVGs from text prompts and vectorize raster images using QuiverAI's Arrow model (#1 on SVG Arena). Includes baked-in prompt engineering guidance, reference image support, and an outputPath parameter to save SVGs directly to disk. TypeScript, MIT-licensed, requires a free QuiverAI API key.

MCP server that enables AI agents to recommend and generate charts from datasets using natural language, supporting 46 chart types and multiple output formats.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

Enables AI assistants and clients to generate Highcharts-based charts with schema validation, export to PNG/SVG/PDF, and natural language to chart conversion.

Enables Claude Code to render LaTeX equations, TikZ diagrams, and documents into SVG or PNG formats via the UpMath API. It supports a wide range of TeX Live packages and syntax validation without requiring a local TeX installation.

Integrates Google Gemini's capabilities—including search-grounding, image/video generation, deep research, and SVG creation—into AI assistants like Claude via the Model Context Protocol.

Enables AI agents to generate and render charts as PNG, SVG, or WebP images directly in chat interfaces. Supports Chart.js specifications and natural language descriptions for creating visualizations from data.

Enables AI models to generate interactive visuals including charts, diagrams, UI mockups, and SVG graphics from plain text prompts. This Windows-based MCP server serves as an intermediary to bridge AI tools with visual output capabilities.

Grok Agent Store

Enables agents to run statistics and data-science computations over numerical streams using only the Python standard library, including Z-score/IQR anomaly detection, Holt linear forecasting, Welch's t-test hypothesis evaluation, gradient-descent multivariate regression, and power-iteration SVD/PCA dimensionality reduction. Exposes these capabilities over JSON-RPC 2.0 stdio so clients like Claude Desktop, Cursor, and Windsurf can project high-dimensional feature vectors into principal components without any external dependencies.

A fast, lightweight MCP server implementation for building and running custom AI tools with seamless integration.

MCP server that exposes a generate_image tool to generate images via Replicate models such as FLUX Schnell, accepting a prompt and aspect ratio and returning an image URL.

A TypeScript-based MCP server for generating custom images and icons using AI (GPT Image 1), supporting .png, .svg, and .ico formats, and designed for seamless integration with Vibe Coding.

Enables LLM agents to generate and validate multi-granularity storyboard assets from text prompts, including 2D SVG motion, 3D Blender depth/blockout, and SDXL ControlNet final images. It also supports vision-based self-correction and a SQLite knowledge database of successful recipes.

Integrates AI editors with Semantic Voxel Protocol projects, enabling project status queries, AI-driven compilation across levels, and block management through MCP tools and resources.