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This is an MCP server that provides real - time model information to AI assistants. It supports querying the pricing, context limits, and functions of over 300 AI models and can perform real - time tests.
Developer toolsResearch and data#Model Information#Real - time Query#AI Assistant.TypeScript
2 points
6.1K
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Overview

Installation

Content Details

Alternatives

What is the Index9 MCP Server?

The Index9 MCP server is a tool specifically designed for AI assistants. It connects to the OpenRouter platform and provides real-time information on over 300 AI models. When an AI assistant needs to know the pricing, capability limits, or latest features of different models, Index9 is the most accurate source of information.

How to use the Index9 MCP Server?

Simply add a simple configuration to your AI client (such as Cursor, VS Code, Claude Desktop, etc.), and Index9 will be automatically integrated into your AI assistant. After that, you can directly ask the AI assistant for information about the models, and it will obtain the latest data through Index9 to answer you.

Use Cases

When you need to select the most suitable AI model for a specific task; when you want to compare the costs and performance of different models; when you need to know the latest capability limits of a certain model; when you want to test the actual performance of different models.

Main Features

Model Search
Search for over 300 AI models by natural language or filtering criteria, supporting filtering by price, context length, capabilities, etc.
Detailed Specification View
Get the complete technical specifications of any model, including real-time pricing, context limits, API rate limits, and special capabilities.
Model Testing
Send the same request to multiple models and compare their output quality, response speed, and actual costs.
Real-time Data
All information is directly obtained from the OpenRouter API, ensuring that the pricing and specification information is up-to-date.
Advantages
Solve the problem of outdated knowledge in AI assistants - AI models are updated frequently, and Index9 provides real-time information.
One-stop comparison - No need to switch between multiple websites. Directly compare all mainstream models.
Cost transparency - Clear pricing information helps you make cost-effective decisions.
Easy to integrate - Can be used in multiple AI clients with simple configuration.
No need to memorize - The AI assistant automatically uses the latest data, and you don't need to manually search for information.
Limitations
Requires an OpenRouter account - The testing function requires an API key.
Depends on the OpenRouter platform - Model availability is affected by OpenRouter's support.
Testing incurs costs - Actual model testing consumes OpenRouter credits.
Requires client support - Must use an AI client that supports the MCP protocol.

How to Use

Select Your AI Client
Index9 supports multiple AI clients, including Cursor, VS Code, Claude Desktop, etc. Select the client you are using.
Add MCP Server Configuration
Add the configuration of the Index9 MCP server to the client's configuration file. The configuration locations vary for different clients.
(Optional) Add API Key
If you want to use the testing function, you need to add the OpenRouter API key to the environment variables.
Restart the Client
Restart your AI client after saving the configuration, and Index9 will be automatically loaded and available.
Start Using
Now you can ask the AI assistant any questions about AI models, and it will obtain the latest information through Index9 to answer you.

Usage Examples

Select a Model for Long Document Analysis
You need to analyze a 100 - page document and need to find a model that supports long context and has a reasonable price.
Compare the Cost - Effectiveness of Multiple Models
You have an application that needs to be called frequently and want to find the best balance between quality and cost.
Test the Performance of a Prompt on Different Models
You have designed a complex prompt and want to see how it performs on different models.

Frequently Asked Questions

Is Index9 free?
Do I need an OpenRouter account to use all functions?
Which AI clients does Index9 support?
How often is the data updated?
How to ensure the security of my API key?
What if OpenRouter does not have a certain model?

Related Resources

Index9 Official Website
Get the latest information, installation guides, and a list of all supported clients.
GitHub Repository
Source code, issue feedback, and contribution guidelines.
OpenRouter Platform
Get an API key, view supported models, and pricing details.
MCP Protocol Documentation
Understand the technical details of the Model Context Protocol.

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "index9": {
      "command": "npx",
      "args": ["-y", "@index9/mcp"]
    }
  }
}

{
  "mcpServers": {
    "index9": {
      "command": "npx",
      "args": ["-y", "@index9/mcp"],
      "env": {
        "OPENROUTER_API_KEY": "sk-..."
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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