C — Moderate risk signals Graded October 16, 2026Several concerns worth a closer look before you install.Based on public adoption and transparency signals as of October 16, 2026. Our opinion, not a code audit or security guarantee.
App connector · Data & databases, Design & media
figma-developer-mcp
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Bottom line: Signal-based grade (2/7 points): heavily downloaded, no public source code found. This reflects adoption and transparency, not a code review.
- Popularity score
- 38/100
- Rank
- #394 of 500
- Weekly downloads
- 91k
What it does
Figma-Context-MCP is an MCP server that extracts and provides Figma design layout information, assets, and structure to AI coding agents like Cursor, enabling them to understand and implement designs directly from Figma files. It bridges the gap between design tools and code generation by making design context available to LLM-based development tools.
Who it’s for
Product engineers, design-to-code teams, and builders using AI coding assistants who need to automatically translate Figma designs into working code. Best suited for organizations using Cursor or other MCP-compatible AI agents in their development workflow.
Copy-paste setup
Check these steps against the project’s own instructions before running anything.
Install from npm (check the project page first):
npx -y Figma-Context-MCP
Follow the official instructions: https://www.npmjs.com/package/figma-developer-mcp (opens external site)
Risks
- Figma API credential exposure: The server requires a Figma personal access token; if stored insecurely or logged, it grants full access to all Figma files and projects the token holder can access.
- Design data exfiltration: Layout, components, and asset information sent to AI agents may leak proprietary design systems, brand guidelines, or unreleased product mockups.
- Prompt injection via design names: Malicious layer names, component titles, or asset labels in Figma files could inject instructions into LLM prompts, potentially manipulating code generation.
- Supply chain trust: The package has high weekly downloads (91k+) but maintenance status and update frequency should be verified; compromised dependencies could affect all users.
- Overpermissioned token scope: Figma tokens typically grant broad file access; ensure tokens are scoped narrowly and rotated regularly to limit blast radius if compromised.
How to stay secure
Least-privilege permissions
- Create a dedicated Figma service account with a personal access token scoped to only the specific projects needed for your AI agent; avoid using your personal or admin token
- Rotate the Figma token every 30 days and immediately revoke old tokens to limit exposure window if compromised
- Restrict which files the MCP server can access by implementing allowlist filtering at the connector level rather than granting blanket project access
- Regularly audit token permissions in Figma settings and remove any tokens no longer actively used by the AI agent workflow
Network isolation
- Run the MCP connector in a sandboxed environment separate from production systems; consider containerization (Docker) with network policies limiting outbound traffic to only Figma API endpoints
- Use a VPN or private network tunnel if the AI agent system is cloud-hosted to prevent direct internet exposure of Figma API calls
- Disable or restrict direct human access to the MCP connector logs and configuration files; store credentials in secrets management tools (e.g., HashiCorp Vault, AWS Secrets Manager) rather than environment variables or config files
- Implement egress filtering to ensure API tokens cannot be exfiltrated to unauthorized domains
Monitoring
- Log all Figma API requests (files accessed, tokens used, timestamps) to a centralized audit system and alert on unusual access patterns or bulk file downloads
- Monitor the MCP connector process for unexpected child processes, outbound network connections, or file reads outside the Figma API communication scope
- Set up alerts for token creation, rotation, or revocation events in your Figma workspace audit log
- Regularly scan the connector's dependencies for known CVEs using dependency checkers; verify package updates come from the official maintainer
Red flags to watch for
- Unusual design file access: Sudden requests for files outside your designated allowlist or access to sensitive projects unrelated to the AI agent's current task
- Suspicious layer/component naming: Filenames, layer names, or component descriptions containing command syntax, code injection patterns, or encoding (base64, hex) that could manipulate LLM prompts
- Token exposure in logs or history: Unencrypted Figma token appearing in MCP logs, shell history, or version control; immediately rotate the token
- Outdated or unmaintained package: Missing updates for >60 days, unresponsive maintainer, or high number of open security issues without resolution
Alternatives
- Penpot / Open-source design-to-code tools: Open-source alternatives that avoid proprietary API dependencies and give you more control over data flow.
- Framer: Offers built-in code export and design-to-React workflows without requiring an external MCP connector.
- Manual design handoff + prompt engineering: Uploading design screenshots directly to AI agents with structured prompts; simpler but less reliable for complex layouts.
- Custom in-house MCP server: Building a proprietary connector tailored to your design system and token/permission policies.