elibarnett/kie-mcp

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MCP server for kie.ai — 45+ image, 70+ video, 20+ audio models with built-in Averiguare model intelligence. Dual-mode (stdio + HTTP) for Claude Code & Cowork.

概要

A comprehensive server for the kie.ai generation API. Gives Claude (and any MCP client) access to , , and with deep model intelligence built in. Most MCPs are thin API wrappers. This one is different: - — per-domain playbooks: profile_brief returns the intake questions a professional would ask, model routing per deliverable with live costs, per-model prompt formulas, and multi-tool workflows. Profiles double as MCP prompts (/kie-art:architecture in Claude Code). Verticals (10): architecture & interiors, video game assets, advertising & marketing, web & software product imagery, film & storyboarding, product photography & e-commerce, brand & graphic design, editorial & publishing, short-form social video, and audio branding & music. - — Every major model has a research field with verdicts, prompt techniques, weaknesses, cost-efficiency analysis, and competitor comparisons. Researched by , our model intelligence agent. - — Every model has pricing in credits and USD.

README

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kie-mcp

A comprehensive Model Context Protocol server for the kie.ai generation API. Gives Claude (and any MCP client) access to 60+ image models, 85+ video models, and 20+ audio tools with deep model intelligence built in.

Why this exists

Most MCPs are thin API wrappers. This one is different:

Vertical profiles (NEW in 5.0) — per-domain playbooks: profile_brief returns the intake questions a professional would ask, model routing per deliverable with live costs, per-model prompt formulas, and multi-tool workflows. Profiles double as MCP prompts (/kie-art:architecture in Claude Code). Verticals (10): architecture & interiors, video game assets, advertising & marketing, web & software product imagery, film & storyboarding, product photography & e-commerce, brand & graphic design, editorial & publishing, short-form social video, and audio branding & music.
Deep research embedded — Every major model has a research field with verdicts, prompt techniques, weaknesses, cost-efficiency analysis, and competitor comparisons. Researched by Averiguare, our model intelligence agent.
Cost-aware — Every model has pricing in credits and USD. The MCP tells you the cheapest option for your use case.
Smart filtering — list_models filter="lip sync" or filter="architecture" or filter="cheapest video" — searches across capability tags, descriptions, AND research fields.
Dual-mode transport — stdio for local Claude Code, HTTP Streamable for remote Cowork/cloud usage.

What you can do with it

Just ask Claude things like:

“Generate a brand presentation board for a perfume launch” — picks GPT Image 2 (best for text-heavy layouts)
“Make a 10s video of fruit scarecrows defending against crows, Pixar style” — recommends Veo 3.1 or Wan 2.7
“Generate music for a fantasy adventure game” — Suno V5
“Lip-sync this audio to my character image” — Kling AI Avatar or Infinitalk
“Upscale this video to 4K” — Veo 4K upscale or Topaz
“Replace the wall color in this room photo” — Flux Kontext Pro (best for surgical edits)

Model coverage

Image (60+)

OpenAI: GPT Image 2.5 Flare / Sunburst (NEW — 1K-4K, transparent background), GPT Image 2, GPT-4o Image, GPT Image 1.5
Google: Nano Banana 2.1 (NEW, 4 cr), Nano Banana 2 / 2 Lite / Pro / Edit / Original, Imagen 4 (Fast/Standard/Ultra)
Black Forest Labs: FLUX 3 Klein T2I + Edit (NEW, 1.6 cr), Flux Kontext Pro/Max, Flux 2 Pro/Flex
ByteDance: Seedream 3.0 / 4.0 / 4.5 / 5.0 Lite
Alibaba: Wan 2.7 Image / Image Pro
Ideogram: v3, Character, Edit, Remix, Reframe
xAI Grok Imagine Image 2.0 (#2 Arena T2I + edit; free segment map → region-targeted edit chain; whole-image edits of ANY uploaded image)
ByteDance Seedream 5.0 Pro (NEW — T2I/I2I + layer decomposition: split any image into layer files)

GitHub で README 全文を見る

インストール

This server does not publish a one-line install command.

Open the repository installation guide MCP 初心者？mcpskill.org のガイドから始めましょう →

設定

{
  "mcpServers": {
    "kie-art": {
      "command": "node",
      "args": ["/absolute/path/to/kie-mcp/server.mjs"],
      "env": {
        "KIE_API_KEY": "your-kie-ai-api-key",
        "KIE_PROJECT_ROOT": "/optional/path/for/outputs"
      }
    }
  }
}