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AI-HIVE AIGC

AI-HIVE AIGC

Remote
ai-hive.iclip.cnMedia & Design0Updated 10w ago
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About AI-HIVE AIGC

AI-HIVE AIGC is an MCP service for commercial image and video generation, aimed at e-commerce, marketing, and advertising content production. Its tools cover model discovery, media upload, generation, and task lookup across e-commerce and advertising workflows.

Key features

  1. 01Discover available generation models
  2. 02Upload media
  3. 03Generate images and videos
  4. 04Generate e-commerce images and videos
  5. 05Generate advertising videos
  6. 06Check generation task status

Use cases

  1. 01Create e-commerce product imagery and videos
  2. 02Produce marketing and advertising assets
  3. 03Track asynchronous media generation tasks

MCP support

It exposes model discovery, media upload, image and video generation, and task lookup tools over Streamable HTTP. The public endpoint supports OAuth 2.1 and PKCE; the local reference implementation also accepts an API key header.

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://ai-hive.iclip.cn/api/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

AI Hive AIGC MCP Server

AI Hive AIGC is a Streamable HTTP MCP server for commercial image, video, e-commerce, marketing and advertising generation. One server exposes model discovery, media upload, image generation, video generation, e-commerce workflows, advertising/TVC workflows and task polling.

AI Hive AIGC MCP 为中文用户和全球开发者提供统一的图片与视频生成入口，覆盖 Nano Banana Pro、GPT Image 2、Seedream、Seedance、MiniMax H3、Wan、HappyHorse，以及电商主图、商品详情页、Listing、PDP、广告、TVC、带货、种草、短剧和漫剧场景。

MCP endpoint

https://ai-hive.iclip.cn/api/mcp

Transport: Streamable HTTP.

Authentication

The public endpoint advertises OAuth 2.1 protected-resource metadata and supports PKCE. The local reference server also supports an AI-HIVE API key in the request header:

x-ai-hive-api-key: sk-api-...

For local development, set AI_HIVE_API_KEY. The local server intentionally allows unauthenticated MCP discovery so registries can index the tool catalog; generation calls fail safely until a user provides a key.

Tools

  • ai_hive_list_models
  • ai_hive_upload_media
  • ai_hive_generate_image
  • ai_hive_generate_ecommerce_image
  • ai_hive_generate_video
  • ai_hive_generate_ecommerce_video
  • ai_hive_generate_advertising_video
  • ai_hive_get_task

Generation tools are non-idempotent and can incur charges. After receiving a task_id, query that task instead of resubmitting the same request.

Run locally

npm install
npm test
npm start

Health check: GET /health

Static registry card: GET /.well-known/mcp/server-card.json

The production MCP is hosted by AI-HIVE and is not deployed from this repository. This repository provides the public protocol reference, tool implementation, tests, Registry metadata and policy documents.

Docker

docker build -t ai-hive-mcp .
docker run --rm -p 3000:3000 -e AI_HIVE_API_KEY=sk-api-example ai-hive-mcp

Smithery configuration schema

When publishing, use a session configuration field injected as an HTTP header:

{
  "type": "object",
  "properties": {
    "apiKey": {
      "type": "string",
      "title": "AI Hive API Key",
      "x-from": { "header": "x-ai-hive-api-key" }
    }
  },
  "required": ["apiKey"]
}

License

MIT

Policies and support

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.