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Wikipedia MCP Server

@simakovvv

关于 Wikipedia MCP Server

暂无概览

基本信息

分类

记忆与知识

运行时

python

传输方式

stdio

发布者

simakovvv

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "wiki-mcp-server": {
      "command": "python",
      "args": [
        "wiki_mcp_server.py"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Wikipedia MCP Server?

A server for searching and analyzing Wikipedia articles using AI models, accessed via HTTP endpoints and Server-Sent Events.

How to use Wikipedia MCP Server?

Install dependencies with pip install -r requirements.txt, set the OPENROUTER_API_KEY environment variable, then run python wiki_mcp_server.py. The server starts on http://localhost:8000. Use the /search, /evaluate, /analyze, and /stats endpoints with POST or GET requests.

Key features of Wikipedia MCP Server

  • Search Wikipedia articles with AI‑powered relevance scoring.
  • Evaluate a single article’s relevance using an AI model.
  • Analyze article content with AI‑generated insights.
  • Server‑Sent Events (SSE) stream for real‑time search results.
  • Supports multiple AI models: GPT‑3.5‑Turbo, GPT‑4, Claude‑2, Mistral‑7B.
  • Built‑in server statistics and error tracking.

Use cases of Wikipedia MCP Server

  • Automatically retrieve and rank Wikipedia articles on a given topic.
  • Integrate Wikipedia knowledge into AI chatbots or research assistants.
  • Evaluate the relevance of a specific article snippet for a project.
  • Combine article analysis with other MCP tools in an AI pipeline.

FAQ from Wikipedia MCP Server

What API key is required?

The server requires an OpenRouter API key set via the OPENROUTER_API_KEY environment variable.

What AI models are available?

The server supports gpt-3.5-turbo (default), gpt-4, claude-2, and mistral-7b.

How do I run the server?

Install dependencies, export the API key, and run python wiki_mcp_server.py. The server will listen on port 8000.

What endpoints does the server provide?

There are four endpoints: /search (POST, SSE), /evaluate (POST, JSON), /analyze (POST, JSON), and /stats (GET, JSON).

Can I configure server timeouts or connections?

Yes, optional environment variables SERVER_TIMEOUT, KEEPALIVE_TIMEOUT, and MAX_CONNECTIONS can be set.

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