Unified Figma MCP
Related Servers
Alternatives to Unified Figma MCP
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables MCP clients like Codex to inspect, create, update, and export Figma designs through a local desktop plugin and bridge.MIT
- AlicenseNot gradedqualityBmaintenanceEnables MCP-compatible AI clients to read and modify the user's currently open Figma file by executing JavaScript in Figma's sandbox, all through a local bridge with status monitoring, node jumping, and automatic rollback on errors.1MIT
- AlicenseNot gradedqualityCmaintenanceManages a local bridge server that exposes Figma design capabilities to AI agents like Copilot, Claude Code, and others through MCP tools, with plugin build and lifecycle controls in VS Code.MIT
- AlicenseNot gradedqualityDmaintenanceEnables interaction with Figma tools and services through a standardized MCP interface.MIT
- AlicenseNot gradedqualityDmaintenanceBridges MCP clients to Figma, enabling live canvas manipulation via a plugin WebSocket and file metadata access through the Figma REST API.MIT
- AlicenseNot gradedqualityBmaintenanceLocal-first MCP bridge for live Figma documents, enabling design inspection, editing, asset export, component authoring, and variable management through a plugin and WebSocket server without consuming Figma REST API requests.1MIT
TDQS
Scored across 4 tools
unified_status and unified_active_backend clearly overlap—both report active backend detection, making one redundant. unified_backends and unified_probe_backend are more distinct, but boundaries between status, backends, and probing are not crisp, causing potential misselection.
All tools share the 'unified_' prefix and use snake_case, creating a predictable pattern. Minor inconsistency exists because three are noun-based (status, backends, active_backend) while probe_backend is verb+noun, but overall naming remains coherent and easily scannable.
Four tools is within the ideal range for a focused server, but the overlap between status and active_backend reduces efficiency. Still, the count is not excessive and each tool has a named purpose, even if some purposes are redundant.
The server appears scoped to backend status and diagnostic coverage; it includes health normalization, capability listing, active detection, and probing. It lacks operations like switching backends or configuration, but for a read-only status server, coverage is largely sufficient.