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smythmyke/markitup-mcp-server

by Various

MarkItUp MCP server — AI image annotation and marketing-visual generation for Claude Code, Cursor, Claude Desktop, ChatGPT, and other MCP clients

MCP

smythmyke/markitup-mcp-server

Added 7 June 2026

Overview

MarkItUp MCP server is a TypeScript tool that adds image annotation and marketing-visual generation capabilities to MCP-compatible clients like Claude Code, Cursor, and ChatGPT. It works as a Model Context Protocol server, allowing AI assistants to create annotated images and marketing visuals on demand.

Best for

Best for
Developers who want to generate annotated images and marketing visuals from within their MCP-compatible AI coding environment

Use cases

  • Generate annotated product screenshots for documentation
  • Create social media graphics with text overlays
  • Produce marketing visuals directly from an AI coding assistant

How to use

Install

npx -y markitup-mcp-server

Tools exposed

  • markitup_credit_balance
  • markitup_generate
  • markitup_regen
  • markitup_extend
  • markitup_remove_background
  • template_id
  • image_url
  • image_base64
  • image_mime_type
  • aspect_ratio
  • image_size

Tested with

Claude Code, Claude Desktop, Cursor, ChatGPT

Example client config

{\n  "mcpServers": {\n    "markitup": {\n      "command": "npx",\n      "args": ["-y", "markitup-mcp-server"],\n      "env": {\n        "MARKITUP_API_KEY": "mk_live_..."\n      }\n    }\n  }\n}

Notes

MarkItUp MCP server is a TypeScript tool that adds image annotation and marketing-visual generation capabilities to MCP-compatible clients like Claude Code, Cursor, and ChatGPT. It works as a Model Context Protocol server, allowing AI assistants to create annotated images and marketing visuals on demand.

0 stars on GitHub. Last updated 2026-05-27. Licensed MIT.

Use cases

  • Generate annotated product screenshots for documentation
  • Create social media graphics with text overlays
  • Produce marketing visuals directly from an AI coding assistant

Pros

  • Integrates directly with popular AI coding tools via MCP
  • Written in TypeScript for easy customization and extension
  • Fills a specific niche for visual content generation in developer workflows

Cons

  • Zero GitHub stars indicates very early stage or limited adoption
  • Dependency on MCP client ecosystem limits standalone use
  • No usage examples or documentation beyond the repository description

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Integrates directly with popular AI coding tools via MCP
  • Written in TypeScript for easy customization and extension
  • Fills a specific niche for visual content generation in developer workflows

Cons

  • Zero GitHub stars indicates very early stage or limited adoption
  • Dependency on MCP client ecosystem limits standalone use
  • No usage examples or documentation beyond the repository description

Pairs with

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