Canicode
Score Figma files against 39 dev-and-AI-readiness rules and export HTML reports before you hand designs to codegen or implementation.
Overview
CaniCode is an MCP server for the Validate phase that scores Figma designs with 39 dev-and-AI-readiness rules and emits HTML audit reports.
What is this MCP server?
- 39-rule Figma audit tuned for developer and AI implementation readiness
- Automated scoring with structured findings across the rule set
- HTML report output suitable for sharing with contractors or your agent
- Figma REST integration via FIGMA_TOKEN including comment posting capability
- npm stdio MCP package canicode v0.5.2
- 39 rules in the readiness rubric
- MCP server version 0.5.2 (npm identifier canicode)
- Requires FIGMA_TOKEN secret for Figma REST API
Community signal: 8 GitHub stars.
What problem does it solve?
Handing messy Figma to developers or coding agents causes rework because nobody measured whether the file is structured for implementation and AI codegen.
Who is it for?
Indie builders validating a Figma prototype before Claude or Cursor implements screens, especially with design-system or component-heavy UIs.
Skip if: Projects with no Figma source of truth, or teams that only need pixel-perfect critique without implementation or AI-readiness criteria.
What do I get? / Deliverables
You get a scored, rule-based HTML report on your Figma file so you can fix gaps before build and give your agent a clearer design contract.
- Scored analysis against 39 dev and AI readiness rules
- HTML report suitable for stakeholders or agent context
- Actionable Figma findings via REST-backed MCP tools
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Journey fit
Design readiness belongs in validate—before you commit engineering time to a file that agents and devs cannot implement cleanly. Prototype subphase covers design artifacts and whether they are build-ready; CaniCode audits Figma instead of shipping UI code itself.
How it compares
Figma audit MCP with 39 scored rules, not a Figma-to-code generator or a generic design critique skill.
Common Questions / FAQ
Who is canicode for?
Solo builders and small teams who design in Figma and want a repeatable check that files are ready for dev and AI-assisted implementation before coding starts.
When should I use canicode?
Run it during validate when a prototype or landing design is supposedly final—before you invoke frontend build skills or agent codegen on the same Figma file.
How do I add canicode to my agent?
Install the npm package canicode, set FIGMA_TOKEN for Figma REST access, add the stdio MCP server entry in Claude Code or Cursor, then call analysis tools against your file URL or key.