"Information about Git MCP" matching MCP servers:

Exposes information about Z-Image AI image generation and editing platform, including styles, pricing, and official links, for MCP-compatible AI clients.

Native Claude Code integration for @annondeveloper/ui-kit — a zero-dependency React component library with 147 components, 3 weight tiers, physics-based animations, and OKLCH color system. Gives Claude deep awareness of the library's components, design patterns, and conventions. Includes 5 skills for component discovery, code generation, design system reference, tier selection, and accessibility

Use Claude to control or ask questions about your Altium project.

Use Claude to control or ask questions about your Altium project.

MCP server providing AI assistants with comprehensive documentation about @deay/ui components, including props, examples, best practices, and Figma design specifications.

thicken turns photos of a real object into a GLB model at its real size and its metadata as JSON, read off the object by vision models and looked up in public catalogs. What it knows about each kind of object lives in a profile: a few come with thicken, and you can add your own.

Exposes tools to ingest FigJam boards, retrieve context summaries, and answer free-form questions about the board content.

Enables AI coding agents to retrieve mode and stage guidance so they can lead users through a 9-stage design workflow, including questions, required artifacts, exit criteria, dependencies, pitfalls, rollback impact, and environment requirements. It helps non-designers turn ideas into buildable HTML/WPF design specs while keeping the human in control of confirmation and revisions.

Enables coding agents to read ground truth about a React design system — components, props, cva variants, tokens and docs — over MCP so they write UI that matches it. It also exposes a check_ui linter agents run on their own output, returning rule ids, locations and concrete fixes before review.

Enables local creation, inspection, revision, and rendering of editable Apple Icon Composer .icon documents from static SVG or PNG artwork, with native appearance previews on macOS.

Exposes Levit design system (GDS) metadata to AI coding tools, enabling queries about color tokens and component usage via natural language.

Enables AI-powered UI component generation from natural language descriptions, integrating with IDEs like Cursor and Windsurf.

Enables controlling a local Blender instance through natural language or code, allowing arbitrary Python/bpy execution and querying scene or object information via MCP.

Enables AI clients to search a library of 2,800+ science illustrations, fetch SVG content and metadata, and download icons locally, with category/license filtering and attribution information.

A professional MCP server that lets AI assistants directly control Adobe Photoshop for document creation, layer management, filters, adjustments, shapes, text, and design intelligence like palette generation and font pairing.

Enables Claude AI to extract design information from Figma files and create or update designs via a Figma plugin, supporting both readonly and write modes.

Enables AI agents to turn pictures of a jersey and bib shorts into a finished cycling kit file for the game Virada. It supplies the kit format and templates, renders flat sheets and previews of the kit on male or female riders from six angles for comparison against reference pictures, then validates and exports the result as a .kit.zip.

Enables converting layered PSD or PhotoshopToSpine exports into validated Spine 2D rigs, animations, atlases, previews, runtime JSON, and optionally editable .spine projects. It provides MCP tools and an OpenAI/Codex workflow for rigging, animation generation, validation, preview auditing, and batch processing.

An MCP server that builds and modifies Blender .blend files, supporting both headless generation and live interaction with an open Blender window.

Provides a local-first MCP tool surface for generating images and videos across dozens of Higgsfield AI models (Sora, Veo, Kling, Seedance, FLUX, Soul, and more), including Soul character training, speech/talking-head video, batch submission, job status polling, model recommendation and param validation, and account/history access. It routes requests across both the official REST API and the experimental cloud web backend with retries, circuit breaking, and typed structured output.