claude mcp add markitup-mcp-server -- npx -y markitup-mcp-server
A pasteable skeleton generated from the repository name. Check the project README for the exact package and arguments.
Star count
2 ★ · smythmyke/markitup-mcp-server · read from the GitHub search API · (checked 2026-10-16 20:00:20)
Source
collected from the punkpeye/awesome-mcp-servers list · type: MCP server
Harvest history
first seen 2026-10-09 · last seen 2026-10-16 · seen 32× · listed by 7 sources
Score
score 703 · 2 ★ · 7 sources · mcp
FAQ (answers come from our records)
How do I install it?
We did not find an install command for this repository (our install coverage is only about 4%). Check its README or releases page.
Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository smythmyke/markitup-mcp-server;first catalogued 2026-10-09;last seen 2026-10-16。There is no official certification or quality rating here — we record sources and dates only.
MCP (Model Context Protocol) server for MarkItUp — AI-powered image annotation and marketing-visual generation. Lets Claude Code, Claude Desktop, Cursor, ChatGPT-with-MCP, and other MCP-compatible clients call MarkItUp directly. Five tools available: markitup_credit_balance, markitup_generate, markitup_regen, markitup_extend, markitup_remove_background. Prerequisites 1. A MarkItUp account — sign up at https://markitup.app. 2. A MarkItUp API key — generate one at https://markitup.app/dashboard. 3. Node.js 18 or newer (only if installing locally; npx doesn't require a local Node.js if your MCP client bundles one). Configure in Claude Code Add to your MCP config (~/.claude/mcp.json or project-scoped .mcp.json): Configure in Claude Desktop Edit ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows): Configure in Cursor Cursor uses the same JSON shape. Settings → MCP → Add Server: Tools markitup_credit_balance Returns the current credit balance and subscription status. No arguments. Use it to verify your API key works and to check credits before calling generation tools. markitup_generate Generates 3 polished marketing-visual variations from a screenshot. Costs 1 credit. | Argument | Type | Required | Description | |---|---|---|---| | description | string | yes | What the image shows and what to highlight | | template_id | string | yes | One of glassmorphic, clean_minimal, bold_marketing, dark_professional, documentation (and more) | | image_url | string | one-of | Public HTTPS URL of the source image | | image_base64 | string | one-of | Base64-encoded image bytes (no data: prefix) | | image_mime_type | string | no | MIME type when supplying image_base64. Default: image/png | | aspect_ratio | string | no | One of 1:1, 3:2, 2:3, 3:4, 4:3, 4:5, 5:4, 9:16, 16:9, 21:9 | | image_size | string | no | 1K, 2K, or 4K | Returns: the marketing copy (headline, sub-headline) plus 3 generated image variations as base64 image content blocks. The full structured response is also available under structuredContent. **Example prompt (in Claude Code):** > Use markitup_generate with the screenshot at https://example.com/dashboard.png — highlight the export button and pitch it for a marketing landing page using the bold_marketing template. markitup_regen Regenerate one variation from a previous markitup_generate call. Costs 1 credit by default (charge_credit: false to skip). The LLM must pass back the text_analysis object from the previous generate's structuredContent.text so the regenerated visual stays on-brand with the same headline / sub-headline. variation_index selects which slot (0–2). markitup_extend AI outpaint — extend an image to a larger canvas / different aspect ratio. Costs 1 credit. | Argument | Type | Required | Description | |---|---|---|---| | image_url / image_base64 | string | one-of | Source image |