"Non-Docker Implementation of Jira with MCP" matching MCP servers:

Enables AI assistants to control Blender 3D modeling and rendering through natural language commands via the Model Context Protocol.

MCP server that lets AI assistants control Adobe After Effects via natural language, enabling composition and layer creation, animation, effects, presets, rendering, and arbitrary ExtendScript execution with Arabic/RTL support.

Enables AI assistants to interact with the Cocos Creator editor through the Model Context Protocol, providing 50 core tools for editor functionality.

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.

Loads your project's Tailwind CSS config and exposes tools for AI agents to query actual design tokens and validate class names, preventing hallucination of non-existent utilities.

AI design fidelity — compare Figma designs or screenshots against the rendered implementation and get structured discrepancies. Uses your Claude Code or Codex subscription, no API keys.

Compare design and implementation screenshots using pixel-by-pixel analysis, generating visual diff images and metrics.

Provides 1000+ handcrafted design system themes (colors, typography, components, animations) to inject into AI-generated UI, enabling tools like Claude, ChatGPT, and Cursor to produce polished, non-generic interfaces.

Enables local automation of Adobe Lightroom Classic via the Model Context Protocol, supporting import, export, and non-destructive develop adjustments through an async job queue.

PyNet Bridge MCP implementation to connect IAs with PyNet Platform.

Enables developers to interact with Figma designs, Jira and Confluence content, and GitLab projects through a single stdio MCP server using REST APIs and glab fallback, with credentials managed via environment variables.

Enables Claude to search your team's design and issue comment threads from Figma, Jira, and Notion, answer questions with citations, surface feedback relevant to the code you're editing, and post replies or close threads after your confirmation.

MCP server for AI-powered component generation - analyze designs, generate components, and create implementation instructions.

An MCP server that gives AI coding tools access to Figma design data for accurate one-shot implementation of designs.

Enables AI coding agents to plan, build, and review websites and product interfaces with a persistent, user-led process, including design direction, component contracts, and implementation review.

An MCP server that gives AI coding agents access to Figma design data, enabling pixel-perfect implementation of designs through structured data extraction, image downloads, and design token retrieval.

Converts Lanhu design URLs into AI-ready implementation context including HTML+CSS (Tailwind), image downloads, design tokens, and guidance.

This repository contains an implementation of an Miro Universal MCP (Model Context Protocol) server. It provides a standardized interface for interacting with Miro's tools and services through a unified API.

Enables Claude Code and Claude Desktop to control Adobe Photoshop on Windows through high-level, tested tools for non-destructive object cutouts, dismissing hint popups that block scripting, and related automation.

An MCP server that enables validating, exporting, previewing, and analyzing OpenSCAD models via a WASM-based OpenSCAD runtime, with secure file management and Docker Compose deployment.