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wiki-mcp-server

一个基于AI模型的维基百科文章搜索与分析服务,提供文章搜索、评估和分析功能,支持多种AI模型,并通过SSE流式传输结果。

article

README

🚀 维基百科 MCP 服务器

这是一个用于搜索和分析维基百科文章的人工智能模型服务器,能帮助用户快速搜索文章并对文章进行评估。

📚 详细文档

🔍 API 参考

搜索文章

  • 端点/search
  • 方法:POST
  • Content-Type:application/json

请求正文:

{
    "topic": "string",
    "limit": 5,  // 可选,默认值: 5
    "model": "gpt-3.5-turbo"  // 可选
}

响应是一个服务器发送事件(SSE)流,包含以下事件类型:

  1. 开始事件
{
    "status": "started"
}
  1. 处理中事件(每个文章处理时发送)
{
    "status": "processing",
    "article": {
        "title": "string",
        "url": "string",
        "snippet": "string",
        "relevance_score": float
    }
}
  1. 完成事件
{
    "status": "completed"
}
  1. 错误事件(如果发生错误)
{
    "status": "error",
    "error": "错误信息"
}

评估文章

  • 端点/evaluate
  • 方法:POST
  • Content-Type:application/json

请求正文:

{
    "article": {
        "title": "string",
        "snippet": "string"
    }
}
help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client