"Information about SVG (Scalable Vector Graphics)" matching MCP servers:

Enables agents to optimize and clean SVG vector paths, rasterize SVGs into crisp sub-pixel PNGs at custom DPI with alpha preserved, generate high-error-correction vector QR codes for payment URIs, and compress images to WebP while stripping EXIF metadata. Tools are metered via x402 USDC micropayments on Base L2.

An MCP server that provides information about Utkarsh, including bio, skills, work experience, and portfolio projects, accessible via local stdio or remote HTTP with OAuth.

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

MCP server for reading, filtering, and analyzing NVIDIA Nsight Graphics captures via ngfx-replay, exposing tools for capture inspection, GPU Trace profiling, and replay analysis.

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.

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

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

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.

MCP server for OpenAI Vector Store API, managing vector stores, files, file batches, and semantic search.

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.

Gives multiple AI coding agents a shared, persistent memory by indexing your code and documentation into a vector database with AST-aware chunking and hybrid semantic/keyword search. Agents can search across projects and store, update, or forget decisions, conventions and lessons learned, all self-hosted with local embeddings.

Provides local vector-based semantic memory storage for AI assistants to persist context and decisions across sessions using local embeddings and LanceDB. It enables private semantic search and session handoff capabilities to maintain long-term project context.

In-memory vector store with TF-IDF vectorization and cosine similarity search, paid per call via x402 micropayments.

Enables AI agents to semantically search GitHub repository documentation by automatically fetching, vectorizing, and indexing content into an Upstash Vector database. It provides a standard MCP interface for agents to retrieve relevant documentation snippets through natural language queries.

Enables creation, validation, rendering, and optimization of SVG images with conversion capabilities to PNG, React components, React Native components, and Data URIs.

Extracts SVG icons from Figma and generates React TSX icon components automatically, enabling AI assistants like GitHub Copilot and Claude to manage icon workflows.