Image Search Mcp Server

by heihei-c

280 downloads
Not rated
GitHub

About

基于必应网站开发的图片搜索MCP服务,可以传入偏移量参数,避免使用相同关键词进行多次搜索时返回重复图片,还可以传入图片数量参数。

Details

Author
heihei-c
Downloads
280
Categories
Search

- Image search based on Bing website
- Offset parameter to avoid repeated results
- Count parameter to set number of images

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Image Search Mcp Server
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "image search mcp server": {
            "image-search-mcp-server": {
                "command": "java",
                "args": [
                    "-jar",
                    "-Dspring.ai.mcp.server.stdio=true",
                    "-Dspring.main.web-application-type=none",
                    "-Dlogging.pattern.console=",
                    "-Dspring.profiles.active=stdio",
                    "your-path/target/image-search-mcp-server-0.0.1-SNAPSHOT.jar"
                ],
                "env": []
            }
        }
    }
}

McpServers

{
    "image-search-mcp-server": {
        "command": "java",
        "args": [
            "-jar",
            "-Dspring.ai.mcp.server.stdio=true",
            "-Dspring.main.web-application-type=none",
            "-Dlogging.pattern.console=",
            "-Dspring.profiles.active=stdio",
            "your-path/target/image-search-mcp-server-0.0.1-SNAPSHOT.jar"
        ],
        "env": []
    }
}
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