模型上下文协议 (MCP) 服务器提供 AI 搜索工具，通过Higress ai-search功能利用来自各种搜索引擎的实时搜索结果增强 AI 模型响应。
Related MCP server: OneSearch MCP Server
https://github.com/user-attachments/assets/60a06d99-a46c-40fc-b156-793e395542bb
https://github.com/user-attachments/assets/5c9e639f-c21c-4738-ad71-1a88cc0bcb46
互联网搜索：Google、Bing、Quark - 用于一般网络信息
学术搜索：Arxiv - 用于科学论文和研究
内部知识搜索
可以使用环境变量来配置服务器：
HIGRESS_URL (可选)：Higress 服务的 URL（默认值： http://localhost:8080/v1/chat/completions ）。
MODEL （必需）：用于生成响应的 LLM 模型。
INTERNAL_KNOWLEDGE_BASES （可选）：内部知识库的描述。
使用 uvx 将自动从 PyPI 安装包，无需在本地克隆存储库。
{
"mcpServers": {
"higress-ai-search-mcp-server": {
"command": "uvx",
"args": [
"higress-ai-search-mcp-server"
],
"env": {
"HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
"MODEL": "qwen-turbo",
"INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
}
}
}
}使用 uv 需要在本地克隆存储库并指定源代码的路径。
{
"mcpServers": {
"higress-ai-search-mcp-server": {
"command": "uv",
"args": [
"--directory",
"path/to/src/higress-ai-search-mcp-server",
"run",
"higress-ai-search-mcp-server"
],
"env": {
"HIGRESS_URL": "http://localhost:8080/v1/chat/completions",
"MODEL": "qwen-turbo",
"INTERNAL_KNOWLEDGE_BASES": "Employee handbook, company policies, internal process documents"
}
}
}
}该项目根据 MIT 许可证获得许可 - 有关详细信息，请参阅LICENSE文件。
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