fishing-mcp-server

fishing-mcp-server

MCP server for a text-based fishing game that allows Claude to play remotely via the Model Context Protocol, with features like casting, buying bait, selling fish, and exploring different locations.

Category
Visit Server

README

🎣 钓鱼游戏 MCP 服务器

基于 tutusagi/ai-fishing-game 的 MCP(Model Context Protocol)服务器实现。

项目说明

这是一个文字钓鱼游戏的 MCP 服务器,可以让 Claude 通过 MCP 协议远程玩钓鱼游戏。

功能特性

  • ✅ 完整的钓鱼游戏引擎
  • ✅ MCP 协议支持
  • ✅ HTTP 接口(适合 Render 等平台部署)
  • ✅ 持久化存档
  • ✅ 确定性随机(相同种子产生相同结果)

本地测试

# 安装依赖
pip install -r requirements.txt

# 启动 HTTP 服务器
python app.py

# 测试健康检查
curl http://localhost:10000/health

部署到 Render

步骤 1: 准备 Git 仓库

# 在项目目录下初始化 Git
git init
git add .
git commit -m "Initial commit"

# 推送到 GitHub(需要先在 GitHub 创建仓库)
git remote add origin https://github.com/你的用户名/fishing-mcp-server.git
git push -u origin main

步骤 2: 在 Render 上部署

  1. 访问 Render.com
  2. 注册/登录账号
  3. 点击 "New +" → "Web Service"
  4. 连接你的 GitHub 仓库
  5. 配置如下:
    • Name: fishing-mcp-server
    • Runtime: Python 3
    • Build Command: pip install -r requirements.txt
    • Start Command: python app.py
    • Plan: 选择 Free(免费套餐)
  6. 点击 "Create Web Service"

步骤 3: 获取服务器地址

部署完成后,Render 会给你一个地址,例如:

https://fishing-mcp-server-xxxx.onrender.com

连接到 Claude Code

在 Claude Code 中添加 MCP 服务器配置:

  1. 打开 ~/.claude/settings.json(或使用 /config 命令)

  2. 添加 MCP 服务器配置:

{
  "mcpServers": {
    "fishing-game": {
      "url": "https://你的render地址.onrender.com/mcp",
      "transport": "http"
    }
  }
}
  1. 重启 Claude Code

可用工具

fishing_command

执行游戏指令,支持:

  • help - 查看帮助
  • status - 查看状态
  • shop - 查看商店
  • buy <饵> <数量> - 购买鱼饵
  • cast [次数] - 抛竿钓鱼
  • goto [地点] - 前往地点
  • inventory - 查看背包
  • sell all - 卖掉所有鱼
  • encyclopedia - 查看图鉴

fishing_new_game

重新开始新游戏,可选指定随机种子

游戏说明

  • 初始:200 点,5 个普通蚯蚓
  • 买饵 → 抛竿 → 钓鱼 → 卖鱼 → 赚点数 → 解锁新地点
  • 集齐图鉴,探索不同稀有度的鱼
  • 季节会随回合推进而变化

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured