Error Recovery Patterns in the use_figma Plugin API

The use_figma skill guarantees atomic execution—if your JavaScript throws an error, zero changes are applied to the Figma file, enabling safe retry workflows without partial modifications.

The use_figma skill in the figma/mcp-server-guide repository serves as the primary gateway for executing Figma Plugin API code against design files from the MCP server. Understanding its error recovery patterns ensures your automation scripts handle failures gracefully while maintaining file integrity.

Atomic Execution Guarantees

The foundation of safe error recovery rests on atomic execution. When you invoke use_figma, the entire script runs within a transaction—if any part throws an exception, no changes are applied to the file. This prevents partially created nodes, orphaned elements, or inconsistent states.

According to skills/figma-use/references/validation-and-recovery.md, this atomicity means a failed call leaves the file "exactly as it was before the call." The system rolls back all DOM modifications, node creations, and property changes immediately upon detecting an unhandled exception. This guarantee allows developers to treat each invocation as an all-or-nothing operation, simplifying error handling logic.

Page Context Management and Common Failures

A frequent source of errors involves incorrect page navigation. Each use_figma invocation resets context to the first page, and figma.currentPage is read-only. Attempting synchronous assignment throws an error rather than switching pages.

Use the async pattern documented in skills/figma-use/references/plugin-api-patterns.md:

// Correct: Async page switching required
const target = figma.root.children.find(p => p.name === "Design System");
await figma.setCurrentPageAsync(target);

Other pitfalls documented in skills/figma-use/references/gotchas.md include calling unsupported APIs like figma.notify, using setBoundVariable for TextStyle in headless mode, or failing to load fonts before text operations. Avoiding these eliminates the majority of runtime errors.

The Recommended Recovery Workflow

The validation-and-recovery guide prescribes a specific five-step recovery loop when errors occur:

1. STOP – Do not immediately retry the failed script.
2. READ – Examine the error message carefully.
3. INSPECT – Use get_metadata or get_screenshot to verify current file state (unchanged due to atomicity).
4. FIX – Correct the script based on diagnostic information.
5. RETRY – Execute the corrected script.

This workflow leverages the atomic guarantee—since file state never changes during failed attempts, you can diagnose issues safely without partial modification risks.

Practical Code Examples

Returning Serializable Data

Always return plain JSON-serializable values to enable data hand-off:

// Create a frame and return its ID for downstream use
const frame = figma.createFrame();
frame.name = "Container";
frame.resize(1440, 900);
return { nodeId: frame.id };

The figma-use skill automatically serializes return values per skills/figma-use/SKILL.md, making them available to subsequent MCP calls.

Error-Aware Client Implementation

Structure client code to handle failures atomically:

// Step 1: Attempt creation
let result = await use_figma(createComponentScript);

if (result.error) {
  // Step 2: Inspect file state (guaranteed unchanged)
  const meta = await get_metadata({ nodeId: "PAGE_ID" });
  console.error("Creation failed:", result.error);
  
  // Step 3: Fix and retry with corrected script
  result = await use_figma(fixedCreateComponentScript);
}

Visual Verification After Milestones

For complex operations, validate visually before proceeding:

await use_figma(createComponentSetScript);
const screenshot = await get_screenshot({ nodeId: componentSetId });
// Inspect for clipping, overlapping, or placeholder text issues

This pattern from validation-and-recovery.md catches visual errors that structural metadata might miss.

Essential Reference Files

Understanding these source files deepens error recovery expertise:

• skills/figma-use/references/validation-and-recovery.md – Defines the atomic execution model and the five-step recovery workflow.
• skills/figma-use/references/plugin-api-patterns.md – Documents page context handling, return value conventions, and API usage patterns.
• skills/figma-use/references/gotchas.md – Lists runtime error triggers including unsupported APIs and headless mode limitations.
• skills/figma-use/SKILL.md – Top-level skill definition enforcing atomicity guarantees and best practices.
• skills/figma-use/references/api-reference.md – Catalogs available Plugin API methods in the headless use_figma environment.

Summary

• Atomic execution ensures failed use_figma scripts leave Figma files completely unchanged, eliminating partial modification risks.
• Page context resets on every call—use await figma.setCurrentPageAsync() rather than synchronous assignment to figma.currentPage.
• The recovery workflow follows STOP-READ-INSPECT-FIX-RETRY pattern using get_metadata and get_screenshot for safe diagnostics.
• Avoid common pitfalls listed in gotchas.md, including unsupported figma.notify calls and TextStyle variable binding in headless mode.
• Return JSON-serializable values to enable state passing between script invocations and validation steps.

Frequently Asked Questions

What happens to my Figma file if a use_figma script crashes midway?

If a script throws an error during execution, absolutely no changes are applied to the file. The atomic execution model guarantees that all node creations, property modifications, and structural changes are rolled back automatically. The file remains exactly as it was before the use_figma call began.

Why does my script fail when trying to set figma.currentPage directly?

The use_figma environment treats figma.currentPage as read-only. Each invocation starts on the first page, and you must use await figma.setCurrentPageAsync(page) to switch contexts. Attempting synchronous assignment throws an error because the headless environment requires explicit async page loading to ensure content availability.

How should I structure error recovery logic in my MCP client?

Implement the five-step workflow: stop execution, read the error message, inspect the current file state using get_metadata (since atomicity guarantees nothing changed), fix your script based on the diagnostics, then retry. This pattern prevents cascading failures and leverages the atomic guarantee for safe debugging.

Which APIs are unavailable in use_figma that might cause errors?

According to gotchas.md, avoid figma.notify (UI notifications aren't supported in headless mode), synchronous page switching, and setBoundVariable for TextStyle objects. Consult api-reference.md for the complete list of supported Plugin API methods available in the MCP server environment.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}