Vreddie Mcp Server
@vreddie2go
关于 Vreddie Mcp Server
Bring VR Eddie's headset ratings, game scores, live deals, and compatibility checks into any MCP client.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"vreddie": {
"command": "npx",
"args": [
"-y",
"vreddie-mcp-server"
]
}
}
}工具
5top 3 headsets for a budget + use case + experience level
side-by-side spec + Eddie Score for two headsets
live deals across Best Buy, Amazon, Sony Direct, Walmart
Eddie's rating + tags for any of 854 scored VR games
confirms whether a game runs on a given headset
概览
What is Vreddie Mcp Server?
Vreddie Mcp Server exposes VR Eddie’s ten‑year virtual‑reality review desk as five read‑only tools for any Model Context Protocol (MCP) client. It provides headset recommendations, side‑by‑side comparisons, live deals, game ratings, and compatibility checks. No authentication is required, data is cached locally for seven days, and the server is free for personal and commercial use under the MIT license.
How to use Vreddie Mcp Server?
Install and run the server with npx vreddie-mcp-server. For Claude Desktop, add the following configuration:
{
"mcpServers": {
"vreddie": { "command": "npx", "args": ["-y", "vreddie-mcp-server"] }
}
}
Key features of Vreddie Mcp Server
- Five read‑only tools for VR data.
- No authentication or API keys required.
- Data cached locally for seven days.
- Free for personal and commercial use (MIT).
- Live deals from Best Buy, Amazon, Sony Direct, Walmart.
- Covers 854 scored VR games.
Use cases of Vreddie Mcp Server
- Get the top three headset recommendations based on budget, use case, and experience level.
- Compare two headsets side‑by‑side with specs and Eddie Score.
- Find live VR deals across major retailers.
- Look up Eddie’s rating and tags for any of 854 VR games.
- Check whether a specific game is compatible with a given headset
其他 分类下的更多 MCP 服务器
Maestro
mobile-dev-incPainless E2E Automation for Mobile and Web
FastMCP v2 🚀
jlowin🚀 The fast, Pythonic way to build MCP servers and clients.
Awesome Mlops
visengerA curated list of references for MLOps
ICSS
chokcoco不止于 CSS
Production-ready MCP integrations for AI applications
Klavis-AIKlavis AI: MCP integration platforms that let AI agents use tools reliably at any scale
评论