Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Figma tasks via Rube MCP (Composio): files, components, design tokens, comments, exports. Always search tools first for current schemas.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Automate Figma operations through Composio's Figma toolkit via Rube MCP.
Toolkit docs: composio.dev/toolkits/figma
RUBE_MANAGE_CONNECTIONS with toolkit figmaRUBE_SEARCH_TOOLS first to get current tool schemasGet Rube MCP: Add https://rube.app/mcp as an MCP server in your client configuration. No API keys needed — just add the endpoint and it works.
RUBE_SEARCH_TOOLS respondsRUBE_MANAGE_CONNECTIONS with toolkit figmaWhen to use: User wants to inspect Figma design files or extract component information
Tool sequence:
FIGMA_DISCOVER_FIGMA_RESOURCES - Extract IDs from Figma URLs [Prerequisite]FIGMA_GET_FILE_JSON - Get file data (simplified by default) [Required]FIGMA_GET_FILE_NODES - Get specific node data [Optional]FIGMA_GET_FILE_COMPONENTS - List published components [Optional]FIGMA_GET_FILE_COMPONENT_SETS - List component sets [Optional]Key parameters:
file_key: File key from URL (e.g., 'abc123XYZ' from figma.com/design/abc123XYZ/...)ids: Comma-separated node IDs (NOT an array)depth: Tree traversal depth (2 for pages and top-level children)simplify: True for AI-friendly format (70%+ size reduction)Pitfalls:
ids must be a comma-separated string, not an arraydata_preview instead of dataWhen to use: User wants to export design assets as images
Tool sequence:
FIGMA_GET_FILE_JSON - Find node IDs to export [Prerequisite]FIGMA_RENDER_IMAGES_OF_FILE_NODES - Render nodes as images [Required]FIGMA_DOWNLOAD_FIGMA_IMAGES - Download rendered images [Optional]FIGMA_GET_IMAGE_FILLS - Get image fill URLs [Optional]Key parameters:
file_key: File keyids: Comma-separated node IDs to renderformat: 'png', 'svg', 'jpg', or 'pdf'scale: Scale factor (0.01-4.0) for PNG/JPGimages: Array of {node_id, file_name, format} for downloadsPitfalls:
When to use: User wants to extract design tokens for development
Tool sequence:
FIGMA_EXTRACT_DESIGN_TOKENS - Extract colors, typography, spacing [Required]FIGMA_DESIGN_TOKENS_TO_TAILWIND - Convert to Tailwind config [Optional]Key parameters:
file_key: File keyinclude_local_styles: Include local styles (default true)include_variables: Include Figma variablestokens: Full tokens object from extraction (for Tailwind conversion)Pitfalls:
When to use: User wants to view or add comments, or inspect version history
Tool sequence:
FIGMA_GET_COMMENTS_IN_A_FILE - List all file comments [Optional]FIGMA_ADD_A_COMMENT_TO_A_FILE - Add a comment [Optional]FIGMA_GET_REACTIONS_FOR_A_COMMENT - Get comment reactions [Optional]FIGMA_GET_VERSIONS_OF_A_FILE - Get version history [Optional]Key parameters:
file_key: File keyas_md: Return comments in Markdown formatmessage: Comment textcomment_id: Comment ID for reactionsPitfalls:
When to use: User wants to list team projects or files
Tool sequence:
FIGMA_GET_PROJECTS_IN_A_TEAM - List team projects [Optional]FIGMA_GET_FILES_IN_A_PROJECT - List project files [Optional]FIGMA_GET_TEAM_STYLES - List team published styles [Optional]Key parameters:
team_id: Team ID from URL (figma.com/files/team/TEAM_ID/...)project_id: Project IDPitfalls:
Extract IDs from Figma URLs:
1. Call FIGMA_DISCOVER_FIGMA_RESOURCES with figma_url
2. Extract file_key, node_id, team_id from response
3. Convert dash-format node IDs (1-541) to colon format (1:541)
1. Call FIGMA_GET_FILE_JSON with depth=2 for overview
2. Identify target nodes from the response
3. Call again with specific ids and higher depth for details
File Type Support:
Node ID Formats:
node-id=1-5411:541| Task | Tool Slug | Key Params |
|---|---|---|
| Parse URL | FIGMA_DISCOVER_FIGMA_RESOURCES | figma_url |
| Get file JSON | FIGMA_GET_FILE_JSON | file_key, ids, depth |
| Get nodes | FIGMA_GET_FILE_NODES | file_key, ids |
| Render images | FIGMA_RENDER_IMAGES_OF_FILE_NODES | file_key, ids, format |
| Download images | FIGMA_DOWNLOAD_FIGMA_IMAGES | file_key, images |
| Get component | FIGMA_GET_COMPONENT | file_key, node_id |
| File components | FIGMA_GET_FILE_COMPONENTS | file_key |
| Component sets | FIGMA_GET_FILE_COMPONENT_SETS | file_key |
| Design tokens | FIGMA_EXTRACT_DESIGN_TOKENS | file_key |
| Tokens to Tailwind | FIGMA_DESIGN_TOKENS_TO_TAILWIND | tokens |
| File comments | FIGMA_GET_COMMENTS_IN_A_FILE | file_key |
| Add comment | FIGMA_ADD_A_COMMENT_TO_A_FILE | file_key, message |
| File versions | FIGMA_GET_VERSIONS_OF_A_FILE | file_key |
| Team projects | FIGMA_GET_PROJECTS_IN_A_TEAM | team_id |
| Project files | FIGMA_GET_FILES_IN_A_PROJECT | project_id |
| Team styles | FIGMA_GET_TEAM_STYLES | team_id |
| File styles | FIGMA_GET_FILE_STYLES | file_key |
| Image fills | FIGMA_GET_IMAGE_FILLS | file_key |
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概要と使いどころ
Automate ActiveCampaign tasks via Rube MCP (Composio): manage contacts, tags, list subscriptions, automation enrollment, and tasks. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。
Analytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.
日本語の概要は準備中です。原文の説明を表示しています。
Teaches when to recall from long-term memory before acting and when to save durable decisions, corrections and failures afterwards. Use when a memory tool or MCP memory server is connected but the agent is not using it consistently, when the user complains that the assistant forgets preferences, conventions or past decisions between sessions, or when setting up persistent memory for a project. Works with any memory backend: a folder of Markdown files, a local MCP server, or a managed service.
日本語の概要は準備中です。原文の説明を表示しています。
Audit local AI coding-agent sessions with agenttrace for cost, tokens, tool failures, latency, anomalies, health, diffs, and CI gates.
日本語の概要は準備中です。原文の説明を表示しています。
Audit whether a website can be found, crawled, and cited by AI answer engines such as ChatGPT Search, Perplexity, Google AI Overviews, and Microsoft Copilot. Use when someone asks why their brand is missing from AI answers, whether AI crawlers can read their site, how to get cited by ChatGPT or Perplexity, or asks for a GEO or AEO (generative / answer engine optimization) review. Produces a citation baseline across buyer-intent prompts, a crawler-access check, a citability review of named pages, and a ranked fix list. Not for keyword rank tracking, paid search, or pages behind a login.
日本語の概要は準備中です。原文の説明を表示しています。
Automate Airtable tasks via Rube MCP (Composio): records, bases, tables, fields, views. Always search tools first for current schemas.
日本語の概要は準備中です。原文の説明を表示しています。