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hanshs474/kavel-mcp

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[](https://glama.ai/mcp/servers/@hanshs474/kavel-mcp) 📇 🏠 🍎 🪟 🐧 - Discover Kavel’s AI photo/video generators (hairstyle, figurine, pet portrait, wedding, 90s yearbook, dance v

MCP

hanshs474/kavel-mcp

Added 3 Sept 2026

Overview

A Model Context Protocol server that exposes Kavel's AI photo and video generators as discoverable tools. Written in TypeScript, it lets MCP clients invoke generation styles such as hairstyle, figurine, pet portrait, wedding, 90s yearbook, and dance video.

Best for

Best for
Developers building MCP-integrated tools that need quick access to a variety of AI photo and video generators.

Use cases

  • Connect an MCP client to Kavel's photo generation tools
  • Trigger a pet portrait or wedding photo generation from a prompt
  • Discover and invoke video generation styles like dance via MCP

Notes

A Model Context Protocol server that exposes Kavel’s AI photo and video generators as discoverable tools. Written in TypeScript, it lets MCP clients invoke generation styles such as hairstyle, figurine, pet portrait, wedding, 90s yearbook, and dance video.

0 stars on GitHub. Last updated 2026-07-15. Licensed MIT.

Use cases

  • Connect an MCP client to Kavel’s photo generation tools
  • Trigger a pet portrait or wedding photo generation from a prompt
  • Discover and invoke video generation styles like dance via MCP

Pros

  • Provides a structured way to access multiple AI generators from one MCP server
  • TypeScript implementation fits typical MCP tooling
  • Covers a diverse set of creative styles

Cons

  • Zero stars suggests minimal community validation or adoption
  • Unclear maintenance status and documentation quality
  • Dependent on Kavel’s underlying API, which is not detailed

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

Pros

  • Provides a structured way to access multiple AI generators from one MCP server
  • TypeScript implementation fits typical MCP tooling
  • Covers a diverse set of creative styles

Cons

  • Zero stars suggests minimal community validation or adoption
  • Unclear maintenance status and documentation quality
  • Dependent on Kavel's underlying API, which is not detailed

Pairs with

Other entries in the index that connect to this one. Click through to see the chain.

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