What is openrouterai
openrouterai is a Model Context Protocol (MCP) server developed by heltonteixeira. It serves as a crucial component for integrating with the OpenRouter.ai ecosystem, facilitating seamless access to a diverse array of AI models. Designed to provide a unified, type-safe interface, openrouterai enhances model interactions through built-in features like caching, rate limiting, and robust error handling. This server allows users to efficiently manage and utilize various AI models without worrying about individual model configurations or compatibility issues.
How to Use openrouterai
To get started with openrouterai, you first need to install the server by using the following command in your terminal:
npm install @mcpservers/openrouterai
Configuration Steps
- Obtain an API Key: Secure your OpenRouter API key from the OpenRouter platform.
- Set up Configuration: Incorporate the MCP settings in your configuration file, typically named
cline_mcp_settings.jsonorclaude_desktop_config.json. Your setup should include the API key and an optional default model.
{
"mcpServers": {
"openrouterai": {
"command": "npx",
"args": ["@mcpservers/openrouterai"],
"env": {
"OPENROUTER_API_KEY": "your-api-key-here",
"OPENROUTER_DEFAULT_MODEL": "optional-default-model"
}
}
}
}
Available Tools
- chat_completion: Send messages to AI models by specifying roles and content, with optional parameters for model selection and response variability.
- search_models: Search and filter models based on criteria such as provider, context length, and capabilities.
- get_model_info: Retrieve detailed information about specific models.
- validate_model: Ensure a model ID is valid and usable within the ecosystem.
Key Features of openrouterai
-
Model Access: Direct connection to all OpenRouter.ai models, with automatic validation and capability checks to ensure compatibility and functionality.
-
Performance Optimization:
- Caching: Implements smart caching of model information with a one-hour expiry to enhance performance.
- Rate Limit Management: Automatically handles rate limits, preventing disruptions in service.
- Exponential Backoff: Applies exponential backoff strategies to handle failed requests effectively.
-
Robust Error Handling:
- Provides detailed error messages, helping users understand and rectify issues.
- Detects and recovers from rate limits, ensuring continuity of service.
- Manages network timeouts with retry mechanisms to maintain connectivity.
openrouterai leverages the MCP framework to securely link AI systems with diverse data sources, ensuring that AI assistants can access real-time information in a standardized, efficient manner. Whether you're managing a single model or a suite of AI tools, openrouterai simplifies the process, making advanced AI capabilities accessible and manageable.
How to Use
To use the openrouterai, follow these steps:
- Visit https://github.com/heltonteixeira/openrouteraihttps://github.com/helton...
- Follow the setup instructions to create an account (if required)
- Connect the MCP server to your Claude Desktop application
- Start using openrouterai capabilities within your Claude conversations
Additional Information
Created
December 21, 2024
Company
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