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\n \n \n $\"Acuvity$ \n \n \n

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\n\n\n# What is mcp-server-figma?\n[![Rating](https://img.shields.io/badge/B-3775A9?label=Rating)](https://docs.anthropic.com/en/docs/build-with-claude/tool-use/implement-tool-use#best-practices-for-tool-definitions)\n[![Helm](https://img.shields.io/badge/1.0.0-3775A9?logo=helm&label=Charts&logoColor=fff)](https://hub.docker.com/r/acuvity/mcp-server-figma/tags/)\n[![Docker](https://img.shields.io/docker/image-size/acuvity/mcp-server-figma/0.6.4?logo=docker&logoColor=fff&label=0.6.4)](https://hub.docker.com/r/acuvity/mcp-server-figma)\n[![PyPI](https://img.shields.io/badge/0.6.4-3775A9?logo=pypi&logoColor=fff&label=figma-developer-mcp)](https://github.com/GLips/Figma-Context-MCP)\n[![Scout](https://img.shields.io/badge/Active-3775A9?logo=docker&logoColor=fff&label=Scout)](https://hub.docker.com/r/acuvity/mcp-server-figma/)\n[![Install in VS Code Docker](https://img.shields.io/badge/VS_Code-One_click_install-0078d7?logo=githubcopilot)](https://insiders.vscode.dev/redirect/mcp/install?name=mcp-server-figma&config=%7B%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22--read-only%22%2C%22-e%22%2C%22FIGMA_API_KEY%22%2C%22docker.io%2Facuvity%2Fmcp-server-figma%3A0.6.4%22%5D%2C%22command%22%3A%22docker%22%7D)\n\n**Description:** Provide coding agents direct access to Figma data to help them one-shot design implementation.\n\nPackaged by Acuvity and published to our curated MCP server [registry](https://mcp.acuvity.ai) from figma-developer-mcp original [sources](https://github.com/GLips/Figma-Context-MCP).\n\n**Quick links:**\n\n- [Integrate with your IDE](https://github.com/acuvity/mcp-servers-registry/blob/main/mcp-server-figma/docker/README.md#-clients-integrations)\n- [Install with Docker](https://github.com/acuvity/mcp-servers-registry/tree/main/mcp-server-figma/docker/README.md#-run-it-with-docker)\n- [Install with Helm](https://github.com/acuvity/mcp-servers-registry/tree/main/mcp-server-figma/charts/mcp-server-figma/README.md#how-to-install)\n\n# Why We Built This\n\nAt [Acuvity](https://acuvity.ai), security is central to our mission—especially for critical systems like MCP servers and integration in agentic systems.\nTo address this need, we've created a secure and robust Docker image designed to ensure figma-developer-mcp run reliably and safely.\n\n## 🔐 Key Security Features\n\n### 📦 Isolated Immutable Sandbox\n\n| Feature | Description |\n|---------------------------|------------------------------------------------------------------------------------------------------------------------|\n| Isolated Execution | All tools run within secure, containerized sandboxes to enforce process isolation and prevent lateral movement. |\n| Non-root by Default | Enforces least-privilege principles, minimizing the impact of potential security breaches. |\n| Read-only Filesystem | Ensures runtime immutability, preventing unauthorized modification. |\n| Version Pinning | Guarantees consistency and reproducibility across deployments by locking tool and dependency versions. |\n| CVE Scanning | Continuously scans images for known vulnerabilities using [Docker Scout](https://docs.docker.com/scout/) to support proactive mitigation. |\n| SBOM & Provenance | Delivers full supply chain transparency by embedding metadata and traceable build information. |\n| Container Signing (Cosign) | Implements image signing using [Cosign](https://github.com/sigstore/cosign) to ensure integrity and authenticity of container images. |\n\n### 🛡️ Runtime Security and Guardrails\n\n**Minibridge Integration**: [Minibridge](https://github.com/acuvity/minibridge) establishes secure Agent-to-MCP connectivity, supports Rego/HTTP-based policy enforcement 🕵️, and simplifies orchestration.\n\nThe [ARC](https://github.com/acuvity/mcp-servers-registry/tree/main) container includes a [built-in Rego policy](https://github.com/acuvity/mcp-servers-registry/tree/main/mcp-server-figma/docker/policy.rego) that enables a set of runtime [guardrails](https://github.com/acuvity/mcp-servers-registry/tree/main/mcp-server-figma#%EF%B8%8F-guardrails) to help enforce security, privacy, and correct usage of your services. Below is list of each guardrail provided.\n\n\n| Guardrail | Summary |\n|----------------------------------|-------------------------------------------------------------------------|\n| `resource integrity` | Embeds a hash of all exposed resources to ensure their authenticity and prevent unauthorized modifications, guarding against supply chain attacks and dynamic alterations of tool metadata. |\n| `covert-instruction-detection` | Detects hidden or obfuscated directives in requests. |\n| `sensitive-pattern-detection` | Flags patterns suggesting sensitive data or filesystem exposure. |\n| `shadowing-pattern-detection` | Identifies tool descriptions that override or influence others. |\n| `schema-misuse-prevention` | Enforces strict schema compliance on input data. |\n| `cross-origin-tool-access` | Controls calls to external services or APIs. |\n| `secrets-redaction` | Prevents exposure of credentials or sensitive values. |\n| `basic authentication` | Enables the configuration of a shared secret to restrict unauthorized access to the MCP server and ensure only approved clients can connect. |\n\nThese controls ensure robust runtime integrity, prevent unauthorized behavior, and provide a foundation for secure-by-design system operations.\n\n> [!NOTE]\n> By default, all guardrails except `resource integrity` are turned off. You can enable or disable each one individually, ensuring that only the protections your environment needs are active.\n\n\n# Quick reference\n\n**Maintained by**:\n - [Acuvity team](mailto:support@acuvity.ai) for packaging\n - [ Author ](https://github.com/GLips/Figma-Context-MCP) for original source application\n\n**Where to get help**:\n - [The Acuvity MCP Forge repository](https://github.com/acuvity/mcp-servers-registry)\n - [The Acuvity community Discord](https://discord.gg/BkU7fBkrNk)\n - [ figma-developer-mcp ](https://github.com/GLips/Figma-Context-MCP)\n\n**Where to file issues**:\n - [Github issue tracker](https://github.com/acuvity/mcp-servers-registry/issues)\n - [ figma-developer-mcp ](https://github.com/GLips/Figma-Context-MCP)\n\n**Supported architectures**:\n - `amd64`\n - `arm64`\n\n**Base image**:\n - `node:23.11.0-alpine3.21`\n\n**Resources**:\n - [Charts](https://github.com/acuvity/mcp-servers-registry/tree/main/mcp-server-figma/charts/mcp-server-figma)\n - [Dockerfile](https://github.com/acuvity/mcp-servers-registry/tree/main/mcp-server-figma/docker/Dockerfile)\n\n**Latest tags:**\n - `latest` -> `1.0.0-0.6.4` -> `0.6.4`\n - [older tags](https://hub.docker.com/r/acuvity/mcp-server-figma/tags)\n\n**Verify signature with [cosign](https://github.com/sigstore/cosign):**\n - `cosign verify --certificate-oidc-issuer \"https://token.actions.githubusercontent.com\" --certificate-identity \"https://github.com/acuvity/mcp-servers-registry/.github/workflows/release.yaml@refs/heads/main\" docker.io/acuvity/mcp-server-figma:latest`\n - `cosign verify --certificate-oidc-issuer \"https://token.actions.githubusercontent.com\" --certificate-identity \"https://github.com/acuvity/mcp-servers-registry/.github/workflows/release.yaml@refs/heads/main\" docker.io/acuvity/mcp-server-figma:0.6.4`\n - `cosign verify --certificate-oidc-issuer \"https://token.actions.githubusercontent.com\" --certificate-identity \"https://github.com/acuvity/mcp-servers-registry/.github/workflows/release.yaml@refs/heads/main\" docker.io/acuvity/mcp-server-figma:1.0.0-0.6.4`\n\n# 📦 How to Install\n\n\n> [!TIP]\n> Given mcp-server-figma scope of operation it can be hosted anywhere.\n\n**Environment variables and secrets:**\n - `FIGMA_API_KEY` required to be set\n\nFor more information and extra configuration you can consult the [package](https://github.com/GLips/Figma-Context-MCP) documentation.\n\n# 🧰 Clients Integrations\n\nBelow are the steps for configuring most clients that use MCP to elevate their Copilot experience.\n\n> [!NOTE]\n> These integrations function natively across all Minibridge modes.\n> To keep things brief, only the docker local-run setup is covered here.\n\n

Visual Studio Code

\n\nTo get started immediately, you can use the \"one-click\" link below:\n\n[![Install in VS Code Docker](https://img.shields.io/badge/VS_Code-One_click_install-0078d7?logo=githubcopilot)](https://insiders.vscode.dev/redirect/mcp/install?name=mcp-server-figma&config=%7B%22args%22%3A%5B%22run%22%2C%22-i%22%2C%22--rm%22%2C%22--read-only%22%2C%22-e%22%2C%22FIGMA_API_KEY%22%2C%22docker.io%2Facuvity%2Fmcp-server-figma%3A0.6.4%22%5D%2C%22command%22%3A%22docker%22%7D)\n\n## Global scope\n\nPress `ctrl + shift + p` and type `Preferences: Open User Settings JSON` to add the following section:\n\n```json\n{\n \"mcp\": {\n \"servers\": {\n \"acuvity-mcp-server-figma\": {\n \"env\": {\n \"FIGMA_API_KEY\": \"TO_BE_SET\"\n },\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"--read-only\",\n \"-e\",\n \"FIGMA_API_KEY\",\n \"docker.io/acuvity/mcp-server-figma:0.6.4\"\n ]\n }\n }\n }\n}\n```\n\n## Workspace scope\n\nIn your workspace create a file called `.vscode/mcp.json` and add the following section:\n\n```json\n{\n \"servers\": {\n \"acuvity-mcp-server-figma\": {\n \"env\": {\n \"FIGMA_API_KEY\": \"TO_BE_SET\"\n },\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"--read-only\",\n \"-e\",\n \"FIGMA_API_KEY\",\n \"docker.io/acuvity/mcp-server-figma:0.6.4\"\n ]\n }\n }\n}\n```\n\n> To pass secrets you should use the `promptString` input type described in the [Visual Studio Code documentation](https://code.visualstudio.com/docs/copilot/chat/mcp-servers).\n\n

\n\n

Windsurf IDE

\n\nIn `~/.codeium/windsurf/mcp_config.json` add the following section:\n\n```json\n{\n \"mcpServers\": {\n \"acuvity-mcp-server-figma\": {\n \"env\": {\n \"FIGMA_API_KEY\": \"TO_BE_SET\"\n },\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"--read-only\",\n \"-e\",\n \"FIGMA_API_KEY\",\n \"docker.io/acuvity/mcp-server-figma:0.6.4\"\n ]\n }\n }\n}\n```\n\nSee [Windsurf documentation](https://docs.windsurf.com/windsurf/mcp) for more info.\n\n

\n\n

Cursor IDE

\n\nAdd the following JSON block to your mcp configuration file:\n- `~/.cursor/mcp.json` for global scope\n- `.cursor/mcp.json` for project scope\n\n```json\n{\n \"mcpServers\": {\n \"acuvity-mcp-server-figma\": {\n \"env\": {\n \"FIGMA_API_KEY\": \"TO_BE_SET\"\n },\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"--read-only\",\n \"-e\",\n \"FIGMA_API_KEY\",\n \"docker.io/acuvity/mcp-server-figma:0.6.4\"\n ]\n }\n }\n}\n```\n\nSee [cursor documentation](https://docs.cursor.com/context/model-context-protocol) for more information.\n\n

\n\n

Claude Desktop

\n\nIn the `claude_desktop_config.json` configuration file add the following section:\n\n```json\n{\n \"mcpServers\": {\n \"acuvity-mcp-server-figma\": {\n \"env\": {\n \"FIGMA_API_KEY\": \"TO_BE_SET\"\n },\n \"command\": \"docker\",\n \"args\": [\n \"run\",\n \"-i\",\n \"--rm\",\n \"--read-only\",\n \"-e\",\n \"FIGMA_API_KEY\",\n \"docker.io/acuvity/mcp-server-figma:0.6.4\"\n ]\n }\n }\n}\n```\n\nSee [Anthropic documentation](https://docs.anthropic.com/en/docs/agents-and-tools/mcp) for more information.\n

\n\n

OpenAI python SDK

\n\n## Running locally\n\n```python\nasync with MCPServerStdio(\n params={\n \"env\": {\"FIGMA_API_KEY\":\"TO_BE_SET\"},\n \"command\": \"docker\",\n \"args\": [\"run\",\"-i\",\"--rm\",\"--read-only\",\"-e\",\"FIGMA_API_KEY\",\"docker.io/acuvity/mcp-server-figma:0.6.4\"]\n }\n) as server:\n tools = await server.list_tools()\n```\n\n## Running remotely\n\n```python\nasync with MCPServerSse(\n params={\n \"url\": \"http://:/sse\",\n }\n) as server:\n tools = await server.list_tools()\n```\n\nSee [OpenAI Agents SDK docs](https://openai.github.io/openai-agents-python/mcp/) for more info.\n\n

\n\n## 🐳 Run it with Docker\n\n

Locally with STDIO

\n\nIn your client configuration set:\n\n- command: `docker`\n- arguments: `run -i --rm --read-only -e FIGMA_API_KEY docker.io/acuvity/mcp-server-figma:0.6.4`\n\n

\n\n

Locally with HTTP/sse

\n\nSimply run as:\n\n```console\ndocker run -it -p 8000:8000 --rm --read-only -e FIGMA_API_KEY docker.io/acuvity/mcp-server-figma:0.6.4\n```\n\nThen on your application/client, you can configure to use it like:\n\n```json\n{\n \"mcpServers\": {\n \"acuvity-mcp-server-figma\": {\n \"url\": \"http://localhost:8000/sse\"\n }\n }\n}\n```\n\nYou might have to use different ports for different tools.\n\n

\n\n

Remotely with Websocket tunneling and MTLS

\n\n> This section assume you are familiar with TLS and certificates and will require:\n> - a server certificate with proper DNS/IP field matching your tool deployment.\n> - a client-ca used to sign client certificates\n\n1. Start the server in `backend` mode\n - add an environment variable like `-e MINIBRIDGE_MODE=backend`\n - add the TLS certificates (recommended) through a volume let's say `/certs` ex (`-v $PWD/certs:/certs`)\n - instruct minibridge to use those certs with\n - `-e MINIBRIDGE_TLS_SERVER_CERT=/certs/server-cert.pem`\n - `-e MINIBRIDGE_TLS_SERVER_KEY=/certs/server-key.pem`\n - `-e MINIBRIDGE_TLS_SERVER_KEY_PASS=optional`\n - `-e MINIBRIDGE_TLS_SERVER_CLIENT_CA=/certs/client-ca.pem`\n\n2. Start `minibridge` locally in frontend mode:\n - Get [minibridge](https://github.com/acuvity/minibridge) binary for your OS.\n\nIn your client configuration, Minibridge works like any other STDIO command.\n\nExample for Claude Desktop:\n\n```json\n{\n \"mcpServers\": {\n \"acuvity-mcp-server-figma\": {\n \"command\": \"minibridge\",\n \"args\": [\"frontend\", \"--backend\", \"wss://:8000/ws\", \"--tls-client-backend-ca\", \"/path/to/ca/that/signed/the/server-cert.pem/ca.pem\", \"--tls-client-cert\", \"/path/to/client-cert.pem\", \"--tls-client-key\", \"/path/to/client-key.pem\"]\n }\n }\n}\n```\n\nThat's it.\n\nMinibridge offers a host of additional features. For step-by-step guidance, please visit the wiki. And if anything’s unclear, don’t hesitate to reach out!\n\n

\n\n## ☁️ Deploy On Kubernetes\n\n

Deploy using Helm Charts

\n\n### Chart settings requirements\n\nThis chart requires some mandatory information to be installed.\n\n**Mandatory Secrets**:\n - `FIGMA_API_KEY` secret to be set as secrets.FIGMA_API_KEY either by `.value` or from existing with `.valueFrom`\n\n### How to install\n\nYou can inspect the chart `README`:\n\n```console\nhelm show readme oci://docker.io/acuvity/mcp-server-figma --version 1.0.0\n````\n\nYou can inspect the values that you can configure:\n\n```console\nhelm show values oci://docker.io/acuvity/mcp-server-figma --version 1.0.0\n````\n\nInstall with helm\n\n```console\nhelm install mcp-server-figma oci://docker.io/acuvity/mcp-server-figma --version 1.0.0\n```\n\nFrom there your MCP server mcp-server-figma will be reachable by default through `http/sse` from inside the cluster using the Kubernetes Service `mcp-server-figma` on port `8000` by default. You can change that by looking at the `service` section of the `values.yaml` file.\n\n### How to Monitor\n\nThe deployment will create a Kubernetes service with a `healthPort`, that is used for liveness probes and readiness probes. This health port can also be used by the monitoring stack of your choice and exposes metrics under the `/metrics` path.\n\nSee full charts [Readme](https://github.com/acuvity/mcp-servers-registry/tree/main/mcp-server-figma/charts/mcp-server-figma/README.md) for more details about settings and runtime security including guardrails activation.\n\n

\n\n# 🧠 Server features\n\nFor detailed list of all features, tools, arguments and SBOM hashes provided by this server please consult the [readme](https://github.com/acuvity/mcp-servers-registry/tree/main/mcp-server-figma)\n\n## 🧰 Tools (2)\n\n\n💬 Questions? 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