Aidc AI MCP vs Figma Context MCP

In-depth architectural comparison of the Aidc AI MCP and Figma Context MCP MCP servers. Compare execution transports, security boundaries, tool capabilities, quality scores, and ready-to-paste client installation snippets for Claude, Cursor, Windsurf, and VS Code.

Which MCP Server Should You Choose?

Choose Aidc AI MCP when:

• You need dedicated capabilities in the Architecture & Design domain.
• You prefer remote streaming HTTP/SSE transport architecture.
• Your security boundary fits: No auth required (Free / Open Source).
• Primary tools included: design, validate, layout.

Explore Aidc AI MCP Details

Choose Figma Context MCP when:

• You need dedicated capabilities in the Architecture & Design domain.
• You prefer local stdio subprocess transport architecture.
• Your security boundary fits: API Key required (Free / Open Source).
• You have access to required keys: FIGMA_API_KEY, PORT.
• Primary tools included: get_figma_data, download_figma_images.

Explore Figma Context MCP Details

Feature & Specification Comparison

Specification	Aidc AI MCP aidc2026ai-melon Architecture & Design	Figma Context MCP GLips Architecture & Design
Summary	Deterministic AI data-center design engine exposed as MCP tools (design, validate, layout): rack count, design PUE, total MVA, liquid/air cooling split, CDU planning, cost & timeline. NVIDIA Rubin-era, 22.9 kV intake, Korea. Remote Streamable HTTP at https://aidc-ai.io/api/mcp; no key for the anonymous tier.	Provide coding agents direct access to Figma data to help them one-shot design implementation.
Category & Scope

Tools & Capabilities Breakdown

Ready-to-Paste Client Configurations

Paste either (or both) of these JSON server blocks into your client config file (e.g. claude_desktop_config.json or ~/.cursor/mcp.json).

{
  "mcpServers": {
    "aidc2026ai-melon-aidc-ai-mcp": {
      "url": "https://aidc-ai.io/api/mcp"
    }
  }
}

{
  "mcpServers": {
    "glips-figma-context-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "figma-developer-mcp",
        "--figma-api-key=YOUR-KEY",
        "--stdio"
      ],
      "env": {
        "FIGMA_API_KEY": "YOUR_FIGMA_API_KEY_HERE",
        "PORT": "YOUR_PORT_HERE"
      }
    }
  }
}

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