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Wikipedia MCP Server

@simakovvv

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

simakovvv

关于 Wikipedia MCP Server

暂无概览

#wiki-mcp-server#wikipedia#ai-analysis

Wikipedia MCP Server 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"
      ]
    }
  }
}

Wikipedia MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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.

常见问题

1

What API key is required?

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

2

What AI models are available?

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

3

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.

4

What endpoints does the server provide?

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

5

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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