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20 Best Figma MCP Servers: compared and ranked, November 2026Ranked from 369 matching servers on stars, growth, downloads and maintenance. Updated .

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    An MCP server integration that enables Cursor AI to communicate with Figma, allowing users to read designs and modify them programmatically through natural language commands.
    19
    1,268 npm
    7,076
    MIT
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    Not graded
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    A local-first MCP server that connects AI clients to Figma via a WebSocket bridge and native plugin, enabling deterministic design operations like inspection, creation, mutation, styling, validation, and optimization.
    16 npm
    1
    MIT
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    maintenance
    Fast, quota-free Figma automation for coding agents, enabling AI agents to read, edit, migrate, audit, screenshot, and prototype inside Figma Desktop files.
    9
    MIT
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    Transforms HTML into Figma designs using only the user’s design system, ensuring correct component usage or safe fallback to primitives, while continuously learning from each build to improve mapping accuracy and consistency.
    26
    89 npm
    15
    MIT
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    MCP server that serves agent skills (SKILL.md bundles) to any MCP client, exposing them via tools and resources for tool-oriented and resource-aware clients.
    3
    17 npm
    ISC
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    Implements Anthropic's 'think' tool for Claude, providing a dedicated space for structured reasoning during complex problem-solving tasks that improves performance in reasoning chains and policy adherence.
    4
    88 npm
    38
    MIT
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    Official implementation of Anthropic's 'think' tool that provides Claude with a dedicated space for structured reasoning, improving performance by up to 54% on complex tasks requiring multi-step problem solving.
    1
    34 npm
    125
    MIT
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    Enables AI agents to design, connect, and simulate water-handling systems from tested physical component models, with typed tools and physics-based warnings.
    20
    Apache 2.0
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    A
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    Enables Claude to consult GLM-4.6's architectural intelligence for system design, code analysis, scalability patterns, and technical decision-making. Provides specialized tools for enterprise architecture consultation, distributed systems design, and code review through the Model Context Protocol.
    5
    16
    MIT
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    A lightweight Model Context Protocol (MCP) orchestrator designed for efficiency at scale. It features TOON compression (reducing token usage by 30-90%) and Lazy Loading, making it the ideal solution for complex, multi-tool agentic workflows.
    9
    6 npm
    13
    MIT
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    An MCP server implementation of Anthropic's Think Tool prompt engineering technique that enables Claude to break down complex problems and enhance its reasoning capabilities by providing a simple tool that echoes back thoughts.
    1
    2
    ISC
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    A
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    A comprehensive Model Context Protocol server that connects AI assistants to Electronic Design Automation tools, enabling Verilog synthesis, simulation, ASIC design flows, and waveform analysis through natural language interaction.
    6
    112
    ISC
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    A
    quality
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    maintenance
    Multi-agent orchestration server that enables parallel task delegation, sequential pipelines, cron scheduling, and cross-model peer review via CLI providers like Codex, Antigravity, OpenCode, and Claude Code.
    42
    26 npm
    6
    MIT
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    Enables AI-driven frontend component design and code generation from natural language requirements. Supports Vue, React, and Angular with intelligent component decomposition, API design, and complete project generation.
    4
    3
    MIT
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    An MCP server that provides a "think" tool enabling structured reasoning for AI agents, allowing them to pause and record explicit thoughts during complex tasks or multi-step tool use.
    1
    15 PyPI
    107
    MIT
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    Enables AI agents to control CST Studio Suite for 3D electromagnetic simulation, antenna design, and schematic-based field-circuit co-simulation through 177 MCP tools.
    100
    11
    AGPL 3.0
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    Enables AI assistants and design agents to connect directly to Paper Desktop via Chrome DevTools Protocol for autonomous design workflows, including atomic document editing, batch asset export, code generation, and design-system validation without rate limits.
    73
    MIT