OpenRouter

Connect AI agents to OpenRouter for access to multiple AI models and model comparison

Prerequisites Before you begin, create an account and get your API Key.

Getting started

Connect to OpenRouter to access multiple AI models, compare model performance, and manage usage across different AI providers through AI agents.

API

1. Install the SDKs (optional)

   pip

   pip install klavis
   
2. Create a Strata MCP Server with OpenRouter

   Python

   from klavis import Klavis
   from klavis.types import McpServerName
   
   klavis_client = Klavis(api_key="YOUR_API_KEY")
   
   # Create a Strata MCP server with OpenRouter
   response = klavis_client.mcp_server.create_strata_server(
       servers=[McpServerName.OPENROUTER],
       user_id="user123"
   )
   

   userId specifies whose connected accounts and data you are accessing in Klavis. It should be a unique id for yourself, your team, or your organization.

   API Reference

   Full Strata API endpoints

3. Configure authentication

   You can get your OpenRouter API key from the OpenRouter website.

   Python

   # Set the OpenRouter API key for your instance
   response = klavis_client.mcp_server.set_instance_auth(
       instance_id=openrouter_server.instance_id,
       auth_data={
           "api_key": "YOUR_OPENROUTER_API_KEY"
       }
   )
   

   🎉 Your OpenRouter MCP Server is ready! You can now use your MCP server URL with any MCP-compatible client to access multiple AI models.

UI

1. Open Dashboard

   Go to your Dashboard.

2. Choose OpenRouter

   Select OpenRouter from the list of available integrations.

3. Configure API Key

   Enter your OpenRouter API key to enable multi-model access.

4. Use in your app

   Copy the MCP endpoint URL and add it to your MCP-supported client (Claude Desktop, Cursor, VS Code, etc.).

Open Source

1. Clone repository (for developers to build from source)

   git clone https://github.com/klavis-ai/klavis
   cd klavis/mcp_servers/openrouter
   
2. Run with Docker

   # Pull the Docker image
   docker pull ghcr.io/klavis-ai/openrouter-mcp-server:latest
   
   # Run with OpenRouter API key
   docker run -p 5000:5000 \
     -e AUTH_DATA='{"api_key":"your_openrouter_api_key"}' \
     ghcr.io/klavis-ai/openrouter-mcp-server:latest
   
3. Configure MCP client

   {
     "mcpServers": {
       "openrouter": {
         "url": "http://localhost:5000/mcp/"
       }
     }
   }
   

Available Tools

With our progressive discovery approach, Klavis System is capable of enabling all tools for OpenRouter. Please use the get_tools API for more details. If you find any tool that is missing, please reach out to [e-mail].

Next Steps

AI Platform Integrations

Integrate Klavis MCP Servers with leading AI platforms

Integrations

Explore available MCP servers

API Reference

REST endpoints and schemas