Rival MCP
An MCP server for querying AI model comparison data from rival.tips, including benchmark tests, prices, and features, for use by AI coding assistants such as Claude and Cursor.
2 points
6.4K

What is rival-mcp?

rival-mcp is a Model Context Protocol (MCP) server that connects AI programming assistants with the AI model comparison data on the rival.tips platform. Through this server, you can query the performance benchmarks, prices, feature characteristics, and comparison information of various AI models (such as GPT-4, Claude, Gemini, etc.) without leaving the code editor.

How to use rival-mcp?

Simply configure the MCP server in the supported AI programming assistants (Claude Code, Cursor, Windsurf, etc.), and then you can query model information through natural language. For example, you can ask 'Compare GPT-4.1 and Claude 3.7 Sonnet' or 'Find free models that support visual capabilities'.

Use cases

When you need to select the most suitable AI model for your project; when you want to understand the performance differences between different models; when you need to compare model prices and features; when you want to quickly find models with specific capabilities (such as vision, coding, reasoning).

Main features

Model list query
List all AI models and filter them by provider, category, feature, or keyword. Supported filter conditions include: provider (OpenAI, Anthropic, etc.), category (flagship, reasoning, coding, small, free, etc.), feature (chat, code, vision, image generation, etc.).
Detailed model information
Get detailed information about a specific model, including performance benchmarks, prices, features, unique characteristics, and provider availability. You need to provide the model ID (such as gpt-4.1, claude-3.7-sonnet).
Model comparison
Compare 2 - 3 models side by side, showing performance benchmarks, prices, features, and shared challenges. Helps you intuitively understand the differences and advantages and disadvantages between different models.
Intelligent search
Search for models by name, description, or feature, even if you don't know the exact model ID. For example, search for 'vision', 'cheap coding', or 'fast reasoning' models.
No API key required
Completely free to use, no registration or API key is required. All data comes from the public API of rival.tips, ensuring the latest and accurate data.
Multi-client support
Supports all AI programming assistants compatible with MCP, including Claude Code, Cursor, Windsurf, etc. Easy to configure, and you can use it in all projects with one - time setup.
Advantages
Get AI model information without leaving the editor, improving work efficiency
The data comes from the authoritative rival.tips platform, including detailed comparisons of more than 60 AI models
Completely free to use, no API key or registration is required
Supports natural language queries, simple and intuitive to use
Real - time data update, ensuring the accuracy and timeliness of information
Supports multiple AI programming assistants, flexible configuration
Limitations
Only provides query functions, cannot modify or add data
Depends on the data update frequency of the rival.tips platform
Requires configuring the MCP server, which may have a certain learning cost for beginners
Only supports text data queries, does not include image or multimedia content

How to use

Install the server
Install the rival-mcp server globally via npm or run it directly using npx.
Configure the AI assistant
Add the MCP server settings to the corresponding configuration file according to the AI programming assistant you are using.
Restart the AI assistant
Restart your AI programming assistant to load the new MCP server configuration.
Start querying
Query model information through natural language in the editor, for example, 'List all free models' or 'Compare GPT-4 and Claude 3'.

Usage examples

Selecting a coding model
You are developing a code generation tool and need to select the most suitable AI model for coding tasks. You want to know the performance, price, and availability of different models in coding tasks.
Budget planning
Your project has strict budget constraints and you need to find the AI model with the best cost - performance ratio. You need to compare the prices and performance of different models to find the best balance.
Function requirement matching
Your application needs to support visual understanding and image generation functions, but you are not sure which models provide these capabilities and how they perform.
Rapid prototype development
You are in the rapid prototype development stage and need free AI models for testing and verification before deciding whether to invest in paid models.

Frequently Asked Questions

Do I need to pay to use rival-mcp?
Which AI programming assistants are supported?
What is the data update frequency?
Do I need programming knowledge to use it?
Can I add custom models or data?
How can I get help if I encounter problems?

Related resources

rival.tips official website
An AI model comparison platform that provides detailed model benchmark tests, price comparisons, and feature analyses
Model Context Protocol official documentation
Official documentation of the MCP protocol, learn about protocol specifications and technical details
GitHub repository
Source code and issue tracking for rival-mcp
Claude Desktop configuration guide
How to configure the MCP server in Claude Desktop
Cursor MCP configuration
Configuration method of the MCP server in the Cursor editor

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "rival": {
      "command": "npx",
      "args": ["-y", "rival-mcp"]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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