"Vector Database" matching MCP servers:

MCP server for searching and exporting Apple SF Symbols as true vector SVGs.

MCP server for converting SVG files to Android Vector Drawable XML, enabling seamless integration with Figma MCP for Android development.

Enables AI agents to control Inkscape for vector graphics editing via MCP tools.

Enables multi-modal vector search over UI components, including text-based and image-based search, plus fetching component screenshots, with Firebase authentication and OAuth token management.

Provides tools to generate SVG vector graphics from text prompts and convert raster images into vector formats using the Quiver AI API. It enables seamless integration of vector graphic creation and image vectorization directly within MCP-compatible clients.

Enables agents to extract, inspect, search, and bundle design context from local Figma .fig files entirely offline, exposing frame summaries, node context, style tokens, assets, vector SVGs, and visual-match review via MCP.

Vector illustration tools for AI agents — create scenes, characters, and graphics with shapes, armatures, materials, and rendering.

Enables AI agents to generate vector graphics in Adobe Illustrator using natural language prompts, by sending ExtendScript commands via a local MCP server.

Enables AI agents to convert a self-contained HTML design into an editable Adobe InDesign (.idml) file, preserving text frames with paragraph styles, native tables, and vector shapes. Accepts raw HTML, a local .html file, or a hosted URL, and returns the converted file along with required fonts and a geometry check.

Enables external AI assistants and MCP clients to programmatically control Adobe Illustrator via WebSocket, supporting generative vector creation, layer organization, and document automation from natural language prompts.

Enables Claude and other MCP clients to create and edit vector artwork inside a running Graphite editor, turning SVG into fully editable native layers and supporting export, styling, transforms, selection and layer management. Every operation is delivered as a regular editor message, so undo, selection and the Layers panel behave exactly as with manual edits.

Enables searching 320,000+ vector icons and fetching SVG, React JSX, Vue 3, Svelte, or Data URI code, plus listing collections and sanitizing SVGs through MCP tools.

Enables AI agents to create, inspect, render, and export 2D engineering drawings through DXF files, including entities, dimensions, hatches, splines, blocks, layers, PNG previews, and vector PDFs without needing a CAD GUI.

Enables AI assistants to create, edit, and export vector graphics with Inkscape, including measured layouts, data-driven elements, and PNG/PDF output. It also supports opening and modifying existing SVG drawings.

Enables coding agents to create and incrementally patch a versioned Figure IR, lay out and lint figures, and render publication-ready vector SVG, PDF, and PPTX files through structured MCP tools.

Provides access to Iconify's 200,000+ open source vector icons from 200+ icon sets, enabling search, browsing, and retrieval of icon data with framework usage examples.

Local vector and raster editing engine for agents: layered documents, saved sessions and exports, as a Rust library, JSON CLI and MCP stdio server.

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.

Enables AI clients to inspect and modify vector documents, layers, paths, text, and images, run trusted ExtendScript, and save or export artwork. It also supports background batch-card creation, template-based image replacement, PDF placement, and task recovery without bringing the host application to the foreground.

Connects an AI agent to Adobe Photoshop through COM/ExtendScript so it can build and correct designs —layers, typography, vector shapes, layer effects, blend modes, masks, adjustments and filters— while previewing its own output, inspecting a document's resources, and learning a reusable style from the user's finished PSDs.

Enables controlling Adobe After Effects through a bridge panel to automate compositions, layers, effects, presets, keyframing, markers, audio analysis, and Lottie/dotLottie compilation with interactive state machines. It supports expression baking, vector export, and dotLottie packaging workflows.

Enables AI agents to drive a live SVG/vector editor, allowing a full observe-and-act loop on a canvas with real tools, state reading, and PNG rendering.

Lets Claude Code and VS Code chat list, open, and drive photo, vector, light, film, and effect apps through MCP, including invoking any open app's tools.

Converts raster drawings such as diagrams, maps, charts, and scans into editable CorelDRAW vector files in a single call, with automatic self-checking that reports uncertain elements back to the calling AI for correction and rebuild.

Connects LLMs and agentic assistants directly to an active Adobe After Effects session on Windows, enabling composition inspection, parametric motion graphics, keyframe injection, vector masks, audio beat analysis, and automated rotoscoping.

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.

Enables AI agents to author designs as structured JSON scenes and render them to PNG, JPEG, WebP, vector PDF, animated PNG, GIF, MP4 or WebM at every target size, using one native binary with no browser or headless Chrome.

Enables AI agents to generate professional SVG artwork, icons, and vector logos from text prompts, and to vectorize raster images into clean, editable SVG files.

Enables AI agents to control GIMP 2.10 through its Script-Fu server, providing access to the entire GIMP procedure database with a vision feedback loop for iterative editing.

Enables AI agents to create and edit vector drawing documents over MCP, with tools to draw shapes, read document outlines, and render PNG previews while humans work in the same Illustrator-style canvas.