mcp-server-figma
mcp-server-figma is an MCP (Model Context Protocol) server that connects an AI agent to Figma so the agent can fetch or work with design resources via MCP tools.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
Security cannot be fully assessed from the provided information. As a general risk for Figma integrations: protect Figma access tokens (avoid logging, restrict scopes), ensure requests use HTTPS/TLS, and review how the MCP server stores and transmits credentials. Dependency and server hardening (CVE status, least-privilege design) were not provided.
⚡ Reliability
Best When
You want an agent to reason over existing Figma content using MCP tool calls.
Avoid When
You need guaranteed idempotency, robust pagination contracts, or clear retry/error semantics (not verifiable from the provided info).
Use Cases
- • Reading Figma design files/components for design analysis
- • Extracting design assets/specs to inform downstream content generation
- • Agent-assisted review workflows that summarize or reference Figma artifacts
Not For
- • Directly modifying Figma designs (unless explicitly supported by the server tools)
- • Production-grade enterprise compliance workflows without reviewing data handling and permission model
- • Security-sensitive tasks where Figma tokens/scopes are not carefully managed
Interface
Authentication
Authentication details (e.g., whether it uses Figma OAuth tokens, personal access tokens, or passes through environment variables) were not provided in the prompt, so auth strength/complexity cannot be confirmed.
Pricing
No pricing information was provided.
Agent Metadata
Known Gotchas
- ⚠ MCP servers may require specific environment variables (e.g., Figma tokens) that agents must set out-of-band; absent docs can cause tool-call failures.
- ⚠ Without explicit pagination guidance, agents may miss results when listing large numbers of nodes/files.
- ⚠ Figma API rate limits may surface as tool errors; if retries/backoff guidance isn’t documented, agents may loop or fail.
Alternatives
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Scores are editorial opinions as of 2026-04-04.