# How to integrate Figma MCP with Atomic Agent

```json
{
  "title": "How to integrate Figma MCP with Atomic Agent",
  "toolkit": "Figma",
  "toolkit_slug": "figma",
  "framework": "Atomic Agent",
  "framework_slug": "atomic-agent",
  "url": "https://composio.dev/toolkits/figma/framework/atomic-agent",
  "markdown_url": "https://composio.dev/toolkits/figma/framework/atomic-agent.md",
  "updated_at": "2026-08-28T15:34:31.128Z"
}
```

## Introduction

Atomic Agent is an open-source AI agent that runs on your machine and supports local models through llama.cpp. Connect it to 1,500+ apps through Composio, including Figma.
This guide uses Atomic Agent's built-in Composio integration. You need Atomic Agent v0.5.6 or later, your own Composio API key, and a Figma account. See the [Atomic Agent documentation](https://atomicagent.io/docs/?cta_placement=atomic-agent-docs) for installation instructions.

## Also integrate Figma with

- [ChatGPT](https://composio.dev/toolkits/figma/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/figma/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/figma/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/figma/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/figma/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/figma/framework/claude-cowork)
- [Grok Bot](https://composio.dev/toolkits/figma/framework/grok-bot)
- [Codex](https://composio.dev/toolkits/figma/framework/codex)
- [Kimi Code](https://composio.dev/toolkits/figma/framework/kimi)
- [Grok Build](https://composio.dev/toolkits/figma/framework/grok-build)
- [Cursor](https://composio.dev/toolkits/figma/framework/cursor)
- [VS Code](https://composio.dev/toolkits/figma/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/figma/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/figma/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/figma/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/figma/framework/cli)
- [Google ADK](https://composio.dev/toolkits/figma/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/figma/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/figma/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/figma/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/figma/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/figma/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/figma/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/figma/framework/autogen)

## TL;DR

### How Atomic Agent connects to Figma
Atomic Agent connects to Composio's Tool Router over Streamable HTTP MCP. It discovers the tools needed for your request, and Composio handles account authentication.
Execution and account-connection tools follow Atomic Agent's configured approval policy. Review any approval prompt before allowing an action on your connected account.

## Connect Figma to Atomic Agent

### Connect Figma to Atomic Agent
- Sign up or sign in to the [Composio dashboard](https://dashboard.composio.dev/?cta_placement=atomic-agent-api-key). Copy your API key.
- In Atomic Agent, open the Integrations tab and select Composio. Select API key, press e, paste the key, and press Enter. The tools become available immediately, without a restart.
- Ask Atomic Agent to do something in Figma. It searches Composio for the right tool.
- On first use, open the sign-in link returned in the chat. Connect your Figma account, then return to Atomic Agent to continue.
### Headless setup
Add the following line to ~/.atomic-agent/.env, replacing YOUR_COMPOSIO_API_KEY with your key. Start Atomic Agent after saving the file.

```bash
COMPOSIO_API_KEY=YOUR_COMPOSIO_API_KEY
```

## What is the Figma MCP server, and what's possible with it?

The Figma MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Figma account. It provides structured and secure access to your Figma workspace, so your agent can perform actions like commenting on designs, managing design tokens, linking developer resources, and automating collaboration workflows on your behalf.
- Automated commenting and feedback loops: Have your agent add, reply to, or delete comments on Figma files and branches to streamline design reviews and team discussions.
- Design token management and conversion: Let the agent extract, update, or convert design tokens in your files, including generating Tailwind CSS configurations for seamless dev handoff.
- Developer resource integration: Automatically attach, update, or remove dev resources linked to Figma nodes, bridging the gap between design and development with contextual documentation or code references.
- Webhook setup and automation: Enable your agent to create or delete webhooks for team events, making it easy to trigger notifications or workflows based on design activity.
- Collaborative variable management: Empower the agent to batch-create, modify, or delete variables, collections, and modes across your design system, keeping everything consistent and up to date.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `FIGMA_ADD_A_COMMENT_TO_A_FILE` | Add a comment to a file | Posts a new comment to a Figma file or branch, optionally replying to an existing root comment (replies cannot be nested); `region_height` and `region_width` in `client_meta` must be positive if defining a comment region. |
| `FIGMA_ADD_A_REACTION_TO_A_COMMENT` | Add a reaction to a comment | Posts a specified emoji reaction to an existing comment in a Figma file or branch, requiring valid file_key and comment_id. |
| `FIGMA_CREATE_A_WEBHOOK` | Create a webhook | Creates a Figma webhook to receive POST notifications when specific events occur. Webhooks can monitor events at three scopes: - Team level: monitors all files in a team (requires team admin permissions) - Project level: monitors all files in a project (requires edit access) - File level: monitors a specific file (requires edit access) Upon creation, Figma sends an initial PING event to verify your endpoint (unless status is PAUSED). IMPORTANT: team_id, project_id, and file_key cannot be discovered programmatically. Extract them from Figma URLs or use FIGMA_DISCOVER_FIGMA_RESOURCES to parse URLs. |
| `FIGMA_CREATE_DEV_RESOURCES` | Create dev resources | Creates and attaches multiple uniquely-URLed development resources to specified Figma nodes, up to 10 per node. |
| `FIGMA_CREATE_MODIFY_DELETE_VARIABLES` | Create, modify, or delete variables | Manages variables, collections, modes, and their values in a Figma file via batch create/update/delete operations; use temporary IDs to link new related items in one request and ensure `variableModeValues` match the target variable's `resolvedType`. |
| `FIGMA_DELETE_A_COMMENT` | Delete a comment | Deletes a specific comment from a Figma file or branch, provided the authenticated user is the original author of the comment. |
| `FIGMA_DELETE_A_REACTION` | Delete a reaction | Deletes a specific emoji reaction from a comment in a Figma file; the user must have originally created the reaction. |
| `FIGMA_DELETE_A_WEBHOOK` | Delete a webhook | Permanently deletes an existing webhook, identified by its unique `webhook_id`; this operation is irreversible. |
| `FIGMA_DELETE_DEV_RESOURCE` | Delete dev resource | Deletes a development resource (used to link Figma design elements to external developer information like code or tasks) from a specified Figma file. |
| `FIGMA_DESIGN_TOKENS_TO_TAILWIND` | Design tokens to tailwind | Convert design tokens to Tailwind CSS configuration. TWO-STEP WORKFLOW: 1. First, call FIGMA_EXTRACT_DESIGN_TOKENS with a Figma file_key to extract design tokens 2. Then, pass the returned DesignTokens object to this action's 'tokens' parameter This action generates: - tailwind.config.ts/js with theme extensions - Optional globals.css with font imports Note: Shadow colors can be provided in either string format (e.g., "rgba(15, 110, 110, 0.32)") or dictionary format (e.g., {"r": 0.059, "g": 0.431, "b": 0.431, "a": 0.32}). |
| `FIGMA_DETECT_BACKGROUND` | Detect Background Layers | Detect background layers for selected nodes in a Figma file. This action analyzes the Figma document structure and identifies potential background elements for the given target nodes. It uses: - Geometric analysis (bounding box overlap/containment) - Z-index ordering (nodes earlier in the layer stack are behind later ones) - Visual properties (fills, node types) - Naming conventions (nodes named 'background', 'bg', etc.) Returns background candidates with confidence scores (0-1) and explanations. |
| `FIGMA_DISCOVER_FIGMA_RESOURCES` | Discover Figma Resources | Smart Figma resource discovery - extract IDs from any Figma URL. Supports all URL formats: /file/, /design/, /board/, /proto/, /slides/ Example: figma.com/board/ABC123/Name → file_key=ABC123 Discovery workflow: team_id → projects → files → nodes Use extracted IDs with GetFileJson, DetectBackground, etc. |
| `FIGMA_DOWNLOAD_FIGMA_IMAGES` | Download Figma Images | Download images from Figma file nodes. Renders specified nodes as images and downloads them. Supports PNG, SVG, JPG, and PDF formats. REQUIRED PARAMETERS: - file_key (string): The Figma file key from the URL - images (array): List of objects, each containing: - node_id (string, required): The node ID to export (e.g., "1:2") - file_name (string, required): Output filename with extension (e.g., "logo.png") - format (string, optional): One of 'png', 'svg', 'jpg', 'pdf'. Defaults to 'png' Example usage: { "file_key": "abc123XYZ", "images": [ {"node_id": "1:2", "file_name": "logo.png", "format": "png"} ] } To find node IDs, use FIGMA_GET_FILE_JSON or look in Figma URLs after 'node-id='. NOTE: Returned image URLs expire shortly after generation — download them immediately. |
| `FIGMA_EXTRACT_DESIGN_TOKENS` | Extract design tokens | Extract design tokens from Figma files by combining styles, variables, and node-extracted values. Only values defined as Figma styles or variables are captured — any design values not encoded as styles/variables are silently omitted. Requires `file_variables:read` scope and a Figma plan that supports variables for full output; if variables return empty, supplement with FIGMA_GET_LOCAL_VARIABLES. |
| `FIGMA_EXTRACT_PROTOTYPE_INTERACTIONS` | Extract Prototype Interactions | Extract prototype interactions and animations from Figma files. Required parameter: - file_key: The Figma file key extracted from a URL like 'https://www.figma.com/file/ABC123xyz/MyFile' (the 'ABC123xyz' part) Analyzes the prototype data to extract: - User interactions (clicks, hovers, etc.) - Transition animations - Component variant states - User flows and navigation |
| `FIGMA_GET_ACTIVITY_LOGS` | Get activity logs | Retrieves activity log events from Figma, allowing filtering by event types, time range, and pagination. |
| `FIGMA_GET_A_WEBHOOK` | Get a webhook | Retrieves detailed information about a specific webhook by its ID, provided the webhook exists and is accessible to the user. |
| `FIGMA_GET_COMMENTS_IN_A_FILE` | Get comments in a file | Retrieves all comments from an existing Figma file, identified by a valid `file_key`, returning details like content, author, position, and reactions, with an option for Markdown formatted content. |
| `FIGMA_GET_COMPONENT2` | Get component | Fetches metadata for a specific component using its unique identifier. Use when you need to retrieve published component details from a team library. |
| `FIGMA_GET_COMPONENT_SET` | Get component set | Retrieves detailed metadata for a specific published Figma component set using its unique `key`. |
| `FIGMA_GET_CURRENT_USER` | Get current user | Retrieves detailed information for the currently authenticated Figma user. |
| `FIGMA_GET_DEV_RESOURCES` | Get dev resources | Retrieves development resources (e.g., Jira/GitHub links) for a Figma main file, optionally filtering by specific node IDs. |
| `FIGMA_GET_FILE_COMPONENTS` | Get file components | Retrieves published components from a Figma file, which must be a main file (not a branch) acting as a library. |
| `FIGMA_GET_FILE_COMPONENT_SETS` | Get file component sets | Retrieves all published component sets from the specified Figma main file (file_key must not be for a branch). |
| `FIGMA_GET_FILE_JSON` | Get file json | Get Figma Design file data with automatic simplification. IMPORTANT: Only supports Design files (figma.com/design/{file_key}). FigJam board files (figma.com/board/{file_key}) and Slides files (figma.com/slides/{file_key}) are NOT supported and will return a 400 error: "File type not supported by this endpoint". This enhanced version automatically transforms verbose Figma JSON into clean, AI-friendly format with: - CSS-like property names - Deduplicated variables - Removed empty values - 70%+ size reduction Use simplify=False to get raw API response. |
| `FIGMA_GET_FILE_METADATA` | Get file metadata | Get Figma file metadata including name, creator, last modification details, thumbnail, and access information. Use when you need quick file overview without the full document tree. |
| `FIGMA_GET_FILE_NODES` | Get file nodes | Fetch JSON for specific node IDs from a Figma file to avoid full-file payload limits. Use when you already know target node IDs (from shallow file fetch or component listings) or when full-file JSON has hit payload limits. Prefer depth=1 for fast discovery. |
| `FIGMA_GET_FILES_IN_A_PROJECT` | Get files in a project | Fetches a list of files in a Figma project, optionally including branch metadata. |
| `FIGMA_GET_FILE_STYLES` | Get file styles | Retrieves a list of published styles (like colors, text attributes, effects, and layout grids) from a specified main Figma file (not a branch). |
| `FIGMA_GET_IMAGE_FILLS` | Get image fills | Retrieves temporary (14-day expiry) download URLs for all image fills in a Figma file; requires `imageRef` from `Paint` objects to map URLs. |
| `FIGMA_GET_LIBRARY_ANALYTICS_COMPONENT_ACTION_DATA` | Get library analytics component action data | Retrieves component insertion and detachment analytics for a specified Figma library, groupable by 'component' or 'team' and filterable by a date range (YYYY-MM-DD). |
| `FIGMA_GET_LIBRARY_ANALYTICS_COMPONENT_USAGE_DATA` | Get library analytics component usage data | Retrieves component usage analytics for a specified Figma library file (identified by `file_key`), with data groupable by 'component' or 'file'. |
| `FIGMA_GET_LIBRARY_ANALYTICS_STYLE_ACTION_DATA` | Get library analytics style action data | Retrieves style usage analytics (insertions, detachments) for a Figma library, grouped by 'style' or 'team'; if providing a date range, ensure end_date is not before start_date. |
| `FIGMA_GET_LIBRARY_ANALYTICS_STYLE_USAGE_DATA` | Get library analytics style usage data | Retrieves style usage analytics for a published Figma library. Returns data about how styles (colors, text styles, effects, grids) from the library are being used across your organization. Requires Enterprise plan and library_analytics:read scope. Group results by 'style' to see per-style metrics or by 'file' to see which files use the library's styles. |
| `FIGMA_GET_LIBRARY_ANALYTICS_VARIABLE_ACTION_DATA` | Get library analytics variable action data | Retrieves weekly, paginated analytics data on variable insertions and detachments for a specified Figma library (identified by `file_key`), groupable by 'variable' or 'team', and filterable by an optional date range. Note: Requires Enterprise plan and library_analytics:read scope. |
| `FIGMA_GET_LIBRARY_ANALYTICS_VARIABLE_USAGE_DATA` | Get library analytics variable usage data | Retrieves paginated analytics data on variable usage from a specified Figma library, grouped by 'file' or 'variable', for libraries with enabled analytics. |
| `FIGMA_GET_LOCAL_VARIABLES` | Get local variables | Retrieves all local/remote variables for a Figma file/branch; crucial for obtaining mode-specific values which `/v1/files/{file_key}/variables/published` omits. |
| `FIGMA_GET_PAYMENTS` | Get payments | Retrieves a user's payment information for a Figma plugin, widget, or Community file; the authenticated identity must own the resource. |
| `FIGMA_GET_PROJECTS_IN_A_TEAM` | Get projects in a team | Retrieves projects within a specified Figma team that are visible to the authenticated user. |
| `FIGMA_GET_PUBLISHED_VARIABLES` | Get published variables | Retrieves variables published from a specified Figma file; this API is available only to full members of Enterprise organizations. |
| `FIGMA_GET_REACTIONS_FOR_A_COMMENT` | Get reactions for a comment | Retrieves reactions for a specific comment in a Figma file. |
| `FIGMA_GET_SCIM_SERVICE_PROVIDER_CONFIG` | Get SCIM service provider config | Get Figma's SCIM service provider configuration. Returns configuration details including which SCIM operations are supported (patch, bulk, filter, etc.), authentication schemes, and service capabilities. |
| `FIGMA_GET_STYLE` | Get style | Retrieves detailed metadata for a specific style in Figma using its unique style key. |
| `FIGMA_GET_TEAM_COMPONENTS` | Get team components | Retrieves components published in a specific Figma team's library; the team must have published components, otherwise an empty list is returned. |
| `FIGMA_GET_TEAM_COMPONENT_SETS` | Get team component sets | Retrieves a paginated list of published component sets (collections of reusable UI elements) from a specified Figma team's library. |
| `FIGMA_GET_TEAM_STYLES` | Get team styles | Retrieves a paginated list of published styles (fill colors, text styles, effects, grids) from a specified Figma team's library. Note: The team must have published styles in its library for this endpoint to return data. Teams without published styles will return an empty list. |
| `FIGMA_GET_TEAM_WEBHOOKS` | Get webhooks | Retrieves all webhooks registered for a specified Figma context (team, project, or file). Uses the Figma Webhooks V2 API endpoint (GET /v2/webhooks) with context and context_id query parameters. This is the recommended approach as the legacy path-based endpoint (/v2/teams/{team_id}/webhooks) is deprecated. Note: team_id, project_id, and file_key cannot be discovered programmatically via the API. Extract them from Figma URLs or use FIGMA_DISCOVER_FIGMA_RESOURCES to parse URLs. |
| `FIGMA_GET_VERSIONS_OF_A_FILE` | Get versions of a file | Retrieves the version history for a Figma file or branch, as specified by its `file_key`. |
| `FIGMA_GET_WEBHOOK_REQUESTS` | Get webhook requests | Retrieves a history of webhook requests for a specific Figma webhook subscription; data is available for requests sent within the last seven days. |
| `FIGMA_RENDER_IMAGES_OF_FILE_NODES` | Render images of file nodes | Render Figma nodes as images (PNG, JPG, SVG, PDF). Returns a map of node IDs to temporary image URLs (valid for 30 days). Images are capped at 32 megapixels; larger requests are automatically scaled down. REQUIRED PARAMETERS: - file_key: Figma file key from URL (e.g., 'abc123XYZ' from figma.com/design/abc123XYZ/...) - ids: Comma-separated node IDs to render (e.g., '1:2' or '1:2,1:3,1:4') NODE IDs: Found in Figma URLs after 'node-id=' or from FIGMA_GET_FILE_JSON response. FORMATS: - png/jpg: Raster images with optional scale (0.01-4.0) - svg: Vector graphics with text outline options - pdf: Document format COMMON ISSUES: - null value in images map = node failed to render (invalid ID, invisible, 0% opacity) - 404 error = file_key not found or no access - 429 error = rate limit exceeded, wait and retry |
| `FIGMA_UPDATE_A_WEBHOOK` | Update a webhook | Updates an existing Figma webhook, identified by `webhook_id`, allowing modification of its event type, endpoint, passcode, status, or description. |
| `FIGMA_UPDATE_DEV_RESOURCES` | Update dev resources | Updates the name and/or URL of one or more existing Figma Dev Resources, each identified by its unique `id`. |

## Supported Triggers

None listed.

## Troubleshooting

### Why is my API key rejected?

Copy the key directly from the Composio dashboard. Atomic Agent requires ASCII characters because it sends the key in an HTTP header. Remove any extra characters introduced when copying.

### Why are Composio tools unavailable after saving a key?

Check that you use Atomic Agent v0.5.6 or later and that Composio is enabled in your configuration. A "composio": { "enabled": false } setting disables the integration while keeping the saved key on disk.

### Does Composio have a free plan?

The Hobby plan includes 100,000 tool calls per month. Composio-managed OAuth apps have a lower included allowance. See [Composio pricing](/pricing) for the current limits that apply to your connection.

## Complete Code

None listed.

## Conclusion

### Use Figma from Atomic Agent
With your account connected, ask Atomic Agent to work with Figma in natural language. You can connect more apps through the same Composio integration as you need them.
Visit the [Atomic Agent website](https://atomicagent.io/?cta_placement=atomic-agent-site) or inspect the [Atomic Agent source code](https://github.com/AtomicBot-ai/atomic-agent?cta_placement=atomic-agent-repo).

## How to build Figma MCP Agent with another framework

- [ChatGPT](https://composio.dev/toolkits/figma/framework/chatgpt)
- [Antigravity](https://composio.dev/toolkits/figma/framework/antigravity)
- [OpenAI Agents SDK](https://composio.dev/toolkits/figma/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/figma/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/figma/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/figma/framework/claude-cowork)
- [Grok Bot](https://composio.dev/toolkits/figma/framework/grok-bot)
- [Codex](https://composio.dev/toolkits/figma/framework/codex)
- [Kimi Code](https://composio.dev/toolkits/figma/framework/kimi)
- [Grok Build](https://composio.dev/toolkits/figma/framework/grok-build)
- [Cursor](https://composio.dev/toolkits/figma/framework/cursor)
- [VS Code](https://composio.dev/toolkits/figma/framework/vscode)
- [OpenCode](https://composio.dev/toolkits/figma/framework/opencode)
- [OpenClaw](https://composio.dev/toolkits/figma/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/figma/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/figma/framework/cli)
- [Google ADK](https://composio.dev/toolkits/figma/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/figma/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/figma/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/figma/framework/mastra-ai)
- [LlamaIndex](https://composio.dev/toolkits/figma/framework/llama-index)
- [CrewAI](https://composio.dev/toolkits/figma/framework/crew-ai)
- [Pydantic AI](https://composio.dev/toolkits/figma/framework/pydantic-ai)
- [AutoGen](https://composio.dev/toolkits/figma/framework/autogen)

## Related Toolkits

- [Abyssale](https://composio.dev/toolkits/abyssale) - Abyssale is a creative automation platform for generating images, videos, GIFs, PDFs, and HTML5 content programmatically. It streamlines and scales visual content production for marketing, design, and operations teams.
- [Alttext ai](https://composio.dev/toolkits/alttext_ai) - AltText.ai is a service that generates alt text for images automatically. It helps boost accessibility and SEO for your visual content.
- [Are.na](https://composio.dev/toolkits/arena) - Are.na is a creative research platform for collecting images, links, notes, and ideas in channels. Use it to organize inspiration, build knowledge maps, and connect research across projects.
- [Bannerbear](https://composio.dev/toolkits/bannerbear) - Bannerbear is an API-driven platform for generating images and videos automatically at scale. It helps businesses create custom graphics, social visuals, and marketing assets using powerful templates.
- [Bannerbite](https://composio.dev/toolkits/bannerbite) - Bannerbite is a creative automation platform for generating images and videos from reusable projects and templates. It helps teams produce on-brand visual assets faster without rebuilding designs from scratch.
- [Builder.io](https://composio.dev/toolkits/builder_io) - Builder.io is a visual development platform for managing content, models, assets, and Space configuration. Use it to ship editable digital experiences faster without waiting on every code change.
- [Canva](https://composio.dev/toolkits/canva) - Canva is a drag-and-drop design suite for creating professional graphics, presentations, and marketing materials. It makes it easy for anyone to design with beautiful templates and a vast library of elements.
- [Canva MCP](https://composio.dev/toolkits/canva_mcp) - Canva MCP is Canva's remote MCP server for accessing designs and content. It centralizes design assets and enables programmatic design workflows.
- [Claid ai](https://composio.dev/toolkits/claid_ai) - Claid.ai delivers AI-driven image editing APIs for tasks like background removal, upscaling, and color correction. It helps automate and enhance image workflows with powerful, developer-friendly tools.
- [Cloudinary](https://composio.dev/toolkits/cloudinary) - Cloudinary is a cloud-based platform for managing, uploading, and transforming images and videos. It streamlines media workflows and delivers optimized assets globally.
- [Contentdrips](https://composio.dev/toolkits/contentdrips) - Contentdrips is an asynchronous rendering API for branded graphics and carousels. It turns reusable templates into on-brand social visuals at scale.
- [Creatomate](https://composio.dev/toolkits/creatomate) - Creatomate is an API for generating automated videos, images, GIFs, and reusable media templates. Use it to turn structured data into polished visual content at scale.
- [Cults](https://composio.dev/toolkits/cults) - Cults is a digital marketplace for 3D printing models, connecting designers and makers. It lets creators share, sell, and discover a huge variety of printable designs easily.
- [DeepImage](https://composio.dev/toolkits/deepimage) - DeepImage is an AI-powered image enhancer and upscaler. Get higher-quality images with just a few clicks.
- [Dreamstudio](https://composio.dev/toolkits/dreamstudio) - DreamStudio is Stability AI’s platform for generating and editing images with AI. It lets you easily turn ideas into stunning visuals, fast.
- [Dynamic Mockups](https://composio.dev/toolkits/dynamic_mockups) - Dynamic Mockups is an API platform for generating product mockups, rendering templates, and managing visual asset catalogs. Use it to automate high-quality product visuals, AI images, and motion assets at scale.
- [Dynapictures](https://composio.dev/toolkits/dynapictures) - Dynapictures is a cloud-based platform for generating personalized images at scale. Instantly create hundreds of custom visuals using your data sources, like Google Sheets.
- [Eraser MCP](https://composio.dev/toolkits/eraser_mcp) - Eraser MCP is a workspace for creating and managing technical diagrams and structured documents. It helps teams organize, version, and export diagrams with collaboration-focused tooling.
- [Excalidraw MCP](https://composio.dev/toolkits/excalidraw_mcp) - Excalidraw MCP is a no-auth MCP server for creating hand-drawn style diagrams in Excalidraw. Use it to generate visual sketches with viewport camera control and fullscreen editing.
- [Fal.ai](https://composio.dev/toolkits/fal_ai) - Fal.ai is a generative media platform offering 600+ AI models for images, video, voice, and audio. Developers use Fal.ai for fast, scalable access to cutting-edge generative AI tools.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Figma MCP?

With a standalone Figma MCP server, the agents and LLMs can only access a fixed set of Figma tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Figma and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with Atomic Agent?

Yes, you can. Atomic Agent fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Figma tools.

### Can I manage the permissions and scopes for Figma while using Tool Router?

Yes, absolutely. You can configure which Figma scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Figma data and credentials are handled as safely as possible.

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