"General context or information search" matching MCP servers:

A read-only MCP server that extracts actual Figma prototype flows, transitions, and per-screen interactions so agents can see navigational behavior rather than infer it. It reports explicit source and destination IDs with warnings for unresolved or ambiguous destinations, without guessing or writing back to Figma.

A Model Context Protocol (MCP) server that enhances Figma design integration by adding element position information to API responses, enabling AI assistants to better understand spatial relationships and convert designs to code more accurately.

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

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.

Converts Figma designs into structured code context with token-aware styling, enabling AI agents to generate production-level frontend code.

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

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.

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

Converts Figma design data into structured semantic analysis JSON and screenshots for AI agents to use in design-to-code workflows.

Enables AI agents to programmatically create, inspect, edit, validate, and headlessly render traditional 2D hand-drawn animation projects, including frames, layers, audio, camera keyframes, spritesheets, and video or GIF exports.

Gives AI coding agents like Cursor access to Figma file, frame, and group data, simplifying and translating Figma API responses into concise layout and styling context so designs can be implemented accurately in any framework in one shot.

Enables AI agents to extract design systems, analyze components, and maintain design-code consistency from Figma files, providing intelligent component analysis and accessibility compliance.

Enables coding agents like Cursor to access Figma design data, fetch layout and styling information, and implement designs in any framework.

Enables AI coding agents such as Cursor to access Figma file, frame, and group data, simplifying Figma API responses into relevant layout and styling context so designs can be implemented accurately in code.

Enables AI assistants to search and download SVG icons from iconfont.cn, with support for style filtering and automatic login.

Enables AI coding agents to retrieve simplified Figma layout and styling data from files, frames, or groups so they can implement designs in code more accurately.

Enables Cursor to access Figma design data via MCP, allowing it to fetch simplified layout and styling information to accurately implement designs from Figma files.

Enables AI coding agents to access Figma design data, including file, frame, and group metadata, so they can implement designs accurately in code. It simplifies and translates Figma API responses into relevant layout and styling information.

Enables AI coding agents such as Cursor to access simplified Figma layout and styling data from file, frame, or group links so they can implement designs more accurately in code.

A Model Context Protocol (MCP) server for semantic SVG icon search. Generate infographic SVG icons by keyword — over 100,000 icons with semantic search support.

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.

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 assistants to search and retrieve brand data, logos, design assets, and brand context via the Brandfetch API.

Enables AI agents to interact with Storybook by exposing UI component information and development workflows through the Model Context Protocol.

Local, free MCP server for brand logo search and shadcn/ui component search & source lookup, requiring no API keys or login.

Enables AI coding clients to search local .fig/.deck pages and layers, read UX copy and layout specifications, and render frames as SVG or high-resolution PNG for visual context.

A Model Context Protocol (MCP) server for Canva integration. Connect Claude Code or any MCP-compatible AI client to your Canva account to search designs, generate AI designs, edit content, manage folders, and collaborate through comments.

Enables AI coding agents such as Cursor to fetch, simplify, and translate Figma layout and styling data so they can implement designs accurately in code.

It exposes five streamable-HTTP tools that add service and FAQ information, Figma or URL-to-DX component generation, session-based user identity lookup, and diagnostics to an existing DX IQ deployment.