figwright logo
figwright
★ 1.1k
vs
mcpscore logo
mcpscore
★ 42

figwright vs mcpscore

figwright: Figwright enables AI agents to interact with Figma bi-directionally, allowing them to read design selections into framework-aware code and directly author/edit the canvas. It operates via a local WebSocket relay between an MCP server and a Figma plugin, making it accessible without a Figma Dev Mode seat or paid tier.; mcpscore: mcpscore acts as a 'Lighthouse' for Model Context Protocol (MCP) servers, meticulously auditing their adherence to the spec, assessing tool quality, and evaluating security posture. It delivers a scored, actionable report, empowering developers to proactively identify and resolve issues before they impact AI agents.

01

TL;DR

figwright logo
figwrightDev Tooling · ★ 1.1k

Generate framework-aware code (e.g., React components) directly from Figma selections.

mcpscore logo
mcpscoreDev Tooling · ★ 42

Auditing local MCP server scripts written in languages like Python or Node.js.

02

Side-by-Side Comparison

Field
figwright logofigwright
mcpscore logomcpscore
Category
Dev Tooling
Dev Tooling
Stars
★ 1.1k
★ 42
License
MIT
MIT
Install Command
npx -y @figwright/mcp@latest
pip install mcpscore
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
Figma Automation, AI Agents, Design-to-Code
MCP, Protocol Audit, Server Evaluation
03

Features

figwright logofigwright
01Free to use, no Figma Dev Mode or paid tier required.
02Bidirectional interaction, enabling both reading designs and writing to the canvas.
03Provider-first code generation, adapting to existing tech stacks and components.
04Compatible with any MCP client (e.g., Claude Code, Cursor).
05Open and extensible architecture with installable skills for custom workflows.
mcpscore logomcpscore
01Audits MCP servers via multiple transports (STDIO, HTTP, SSE) with automatic detection.
02Verifies the MCP `initialize` handshake to ensure a valid MCP endpoint.
03Supports auditing MCP servers implemented in any programming language.
04Provides severity-based reporting (CRITICAL, HIGH, MEDIUM, LOW) for actionable remediation.
04

Use Cases

figwright logofigwright
↳Generate framework-aware code (e.g., React components) directly from Figma selections.
↳Build or edit Figma designs on the canvas using natural language descriptions or code.
↳Integrate AI agents to automate design implementation and iteration processes.
↳Create rich design context for AI models, bridging Figma data with codebase components.
mcpscore logomcpscore
↳Auditing local MCP server scripts written in languages like Python or Node.js.
↳Running `mcpscore` against any remote MCP server URL to check its compliance and quality.
↳Integrating into CI/CD pipelines to ensure protocol conformance before deployment.
↳Programmatic use as a Python library to build custom MCP auditing tools.
05

Best For

figwright logofigwright
Essential
mcpscore logomcpscore
—
FAQ

FAQ

What is the difference between figwright and mcpscore?
Both figwright and mcpscore are in the Dev Tooling category. figwright has 1.1k stars, while mcpscore has 42 stars.
Which is better, figwright or mcpscore?
The best choice depends on your use case. Choose figwright if Generate framework-aware code (e.g., React components) directly from Figma selections., and mcpscore if Auditing local MCP server scripts written in languages like Python or Node.js..
Is figwright free or open source?
Yes, figwright is open source on GitHub (MIT).
Is mcpscore free or open source?
Yes, mcpscore is open source on GitHub (MIT).
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