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

Unified MCP server for graphics manipulation with multiple backends.

A FastMCP server providing structured SVG authoring tools for LLMs, enabling create, edit, and render SVG graphics through hierarchical primitives, gradients, paths, and reusable resources.

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.

Renders SVG to PNG so AI agents can see the SVG they generate.

Enables annotating SVG paper figures in the browser by picking elements or drawing regions, and feeds those annotations back to Claude via MCP so it can edit the underlying SVG or generation scripts, with automatic page refresh on changes.

An MCP server that provides Lucide icons as SVG, allowing clients to list, search, and retrieve icons by name.

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

A deterministic SVG perception tool for LLM agents that renders SVGs in a real browser to measure geometry, colors, and spatial constraints, reporting results in grid grammar and W3C color names without guessing.

A Model Context Protocol server that provides tools for converting SVG code to high-quality PNG and JPG images with detailed customization options.

Enables creating and iterating on animated SVG diagrams from text input, photos of sketches, and YAML specifications, with support for shapes, connections, SMIL animations, and file output.

Enables semantic and full-text search over markdown notes, with tools to create, edit, move, and delete notes, all through MCP. Runs entirely locally using Ollama for embeddings and SQLite for storage, working with Obsidian or standalone.

Enables agents to turn documents into vectors, perform approximate nearest neighbor search with HNSW, and filter by metadata via MCP tools for RAG workflows.

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

Enables literature search, local Zotero reading, PDF parsing, citation tools, materials data, and scientific image generation for coding agents through a local Python MCP server.

Enables high-quality conversion of SVG files to PNG, ICO, and JPG formats with optimized Chinese character rendering. Supports single file, batch, and string-based conversions using multiple rendering engines including Cairo, SVGLib, and PIL.

A secure vector-based memory server that provides persistent semantic memory for AI assistants using sqlite-vec and sentence-transformers. It enables semantic search and organization of coding experiences, solutions, and knowledge with features like auto-cleanup and deduplication.

Enables indexing and semantic search of software project files via MCP, with automatic file watching for updates.

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.