Rival Mcp

Name: Rival Mcp
Author: nuance-dev

@nuance-dev

代码仓库

关于 Rival Mcp

rival-mcp

#ai #models #providers

基本信息

分类

其他

传输方式

stdio

发布者

nuance-dev

提交者

Nuanced

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "rival": {
      "command": "npx",
      "args": [
        "-y",
        "rival-mcp"
      ]
    }
  }
}

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 Rival Mcp?

Rival Mcp is an MCP server that lets AI coding assistants (Claude Code, Cursor, Windsurf, and any MCP-compatible client) natively query AI model comparison data from rival.tips — including benchmarks, pricing, capabilities, and side‑by‑side comparisons — without leaving the editor.

How to use Rival Mcp?

Run npx rival-mcp in your terminal. No API key is required; all data comes from the public rival.tips API. Configure the server for your client (e.g., Claude Desktop, Cursor, Windsurf) by adding the command npx -y rival-mcp to the client’s MCP configuration file.

Key features of Rival Mcp

Query 60+ AI models with benchmarks, pricing, and capabilities
Filter models by provider, category, capability, or free‑text search
Get detailed per‑model information including unique features
Compare 2–3 models side by side on benchmarks and pricing
Works with any MCP‑compatible AI assistant

Use cases of Rival Mcp

Find the best model for a coding or reasoning task without leaving your editor
Compare pricing and performance of flagship models like GPT‑4.1, Claude 3.7 Sonnet, and Gemini 2.5 Pro
Search for models that support vision, image generation, or function calling
Filter available models by provider or category (flagship, small, free, etc.)

FAQ from Rival Mcp

What if I don’t know the exact model ID?

Use the search-models tool with a query like vision or cheap coding to find matching models.

Do I need an API key or authentication?

No. All data is read from the public rival.tips API; no API key or authentication is required.

What data does Rival Mcp provide?

It provides model benchmarks, pricing, capabilities, unique features, and pre‑generated showcase responses for more than 60 AI models.

Which transports and clients are supported?

The server communicates over stdio using the Model Context Protocol, so it works with any MCP‑compatible client (Claude, Cursor, Windsurf, etc.).

Are there any resources or prompts available?

No — the server exposes only tools (no resources or prompts), and all data is read‑only.

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