"Resources and Tools for Frontend Development (e.g., Jira, Figma, GitHub)" matching MCP servers:

A comprehensive MCP server for Vue component development and Figma design restoration, featuring snapDOM-powered screenshots, pixel-perfect visual comparison, and automated SVG optimization.

An MCP server that visually reviews UI edit requests by comparing screenshots before and after edits, ensuring changes satisfy user requests.

Enables AI coding tools such as Claude Code and Codex to interact with and modify Figma designs via the Model Context Protocol.

Enables stdio MCP clients such as Cursor and Claude Code to read and modify the currently open Figma Desktop file, export selected nodes as local PNG/SVG files, and create or edit basic canvas nodes using precise layout data for pixel-level reconstruction.

A read-only Figma MCP server that lets Claude list frames, read a frame's layout as flexbox, extract color and text styles as CSS variables, export icons as SVG, and render a PNG of the frame for visual comparison. This gives Claude everything it needs to build a matching web page from a design on Figma's free plan, with responses cached locally.

Enables visual review of UI edits by comparing before and after screenshots, returning whether the edit satisfies the request.

Connects an MCP client such as Claude Code to the Figma file open in the desktop app, letting the agent create frames, write text, apply styles, import images and SVGs, take screenshots, and run arbitrary Figma Plugin API code. Commands travel through a local development plugin instead of Figma's web API, so there are no tokens, quotas, or rate limits.

MCP server for the Figma API. Lets AI agents fetch designs, nodes, and rendered images from Figma.

An MCP server that bridges Claude Code to Figma, enabling AI-driven design creation, modification, and export via semantic tools and WebSocket communication.

MCP server for downloading images from Figma designs using access tokens. Supports multiple export formats and scale factors via a single tool.

Enables agents to compress JPEG, PNG, and WebP images to a target byte size, split PDFs by page or ranges, and remove image metadata while processing local files without sending file bytes over the network.

Enables an agent to read, edit, and build Figma designs from scratch — including style guides, variables, components, and screens — through a local plugin bridge to the open file's Plugin API, with no Figma token or REST API calls.

Enables extraction of design context from Figma files as CSS-like properties and provides tools to render Figma nodes as images. It integrates with AI agents via the Model Context Protocol to facilitate design-to-code workflows by providing layout, style, and typography information.

Enables interaction with Figma designs through the Figma API, allowing users to export images in multiple formats, extract style data and CSS, analyze design elements, and retrieve SVG code from Figma files. Supports batch operations and comprehensive design element analysis including images, vectors, and components.

MCP server for controlling Figma Slides — create, edit, and screenshot slides from any AI assistant that supports MCP.

Enables a locally run agent or script to read and write a real Figma layer tree through a local bridge — inspecting node structure and variables, exporting screenshots into the model's context, and performing batched create/update/move/rename/delete operations that collapse into a single undo step. All traffic stays on localhost between the bridge and the Figma plugin, with design-token auditing, binding, and creation included.

Zero-dependency MCP server for social media dimensions & first-party safe areas (Reels, TikTok, YouTube Shorts), encoder-safe aspect ratios, video bitrate math, SRT/VTT/ASS subtitle conversion, and BPM delay tables.

Six local CPU MCP tools for Markdown/HTML-to-PDF conversion, PDF text extraction, safe SVG-to-PNG rendering, and PDF link and chapter inspection. Linux/WSL2; no GPU, hosted inference API, or model download required.

An MCP server implementation that integrates with Minimax API to provide AI-powered image generation and text-to-speech functionality in editors like Windsurf and Cursor.

Gives LLM agents spatial awareness inside Autodesk Maya, enabling scene inspection and measurement, aesthetic and engineering audits, camera planning, checkpoint/rollback safety, asset import, and viewport or render previews. Agents can also execute arbitrary Python in Maya to build and verify 3D scenes against engineering rules instead of writing blind.

Enables extraction of recipes from PDFs or JPG files and conversion into structured HTML, with interactive region selection and OCR via a web GUI.

MCP server providing image analysis tools for AI agents, including metadata extraction, favicon discovery, and placeholder generation.

Lets AI agents inspect local or remote videos by reading metadata, detecting shots and cuts, extracting frames as images, and checking keyframes for seeking and streaming, all via local FFmpeg without an API key.

Enables AI-driven 3D modeling and scene creation in Blender, allowing LLMs to create, modify, and manipulate objects, materials, and assets through natural language.

Enables AI assistants to work with local files — merging, compressing and editing PDFs, converting and resizing images, formatting text and data formats, running calculators, generating QR codes and barcodes, and producing invoices, resumes and other documents. Everything runs privately on the user's own machine with no uploads, accounts or API keys, and outputs can be chained from one tool to the next.

A streamlined MCP server for XMP metadata embedding with beautiful formatting and smart filename indicators, enabling metadata embedding, reading, validation, and report generation for lifestyle, product, and orbit schemas.

Enables MCP clients to discover OpenRouter image and video models, generate and edit images, create variations, launch and monitor video jobs, and save resulting media into authorized local project directories with cost controls.

一个MCP视觉分析工具，将本地图片交给豆包视觉模型分析，帮助Claude Code和DeepSeek理解截图内容。

Image Tools MCP is a Model Context Protocol (MCP) service that retrieves image dimensions and compresses images from URLs and local files using the TinyPNG API. It supports converting images to formats like webp, jpeg/jpg, and png, providing detailed information on width, height, type, and compressi

Enables MCP clients to use paid tools for secret scanning, agent-config auditing, and OG image rendering, with payments handled over the x402 protocol on Base.