广告合作
MCP.so
登录

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.

评论

记忆与知识 分类下的更多 MCP 服务器

Code Graph Rag

vitali87

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs

5.3K

Memlord

MyrikLD

Memlord is a remote MCP server available at https://app.memlord.com.

PLUR

plur-ai

AI agents start every session with amnesia — you re-explain the project, repeat your preferences, and correct the same mistakes over and over. PLUR gives them a memory that persists. Your agent's corrections, preference

226

Stele

Stele-Dev

Shared memory for AI coding agents. Claude Code, Cursor and Codex read your project's decisions, lessons and tasks before they act.

Snipara

alopez3006

MCP connector for Snipara, the Project Brain for AI coding agents

1
广告合作