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OpenRouter - Unified LLM Interface for ChatGPT, Claude, Gemini

Pricing

$7.99/month + usage

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OpenRouter - Unified LLM Interface for ChatGPT, Claude, Gemini

OpenRouter - Unified LLM Interface for ChatGPT, Claude, Gemini

Developed by

xyzzy

xyzzy

Maintained by Community

Use the OpenRouter platform to choose the best and most cost effective model for your prompts utilizing a standardized interface (including ChatGPT, Claude, Gemini, Llama, Mistral, and more). See instructions for creating an OpenRouter account and API key.

0.0 (0)

Pricing

$7.99/month + usage

11

Total users

33

Monthly users

6

Runs succeeded

>99%

Issues response

2.2 hours

Last modified

a month ago

You can access the OpenRouter - Unified LLM Interface for ChatGPT, Claude, Gemini programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/sse?actors=xyzzy/open-router",
"--header",
"Authorization: Bearer <YOUR_API_TOKEN>"
]
}
}
}

Configure MCP server with OpenRouter - Unified LLM Interface for ChatGPT, Claude, Gemini

You have a few options for interacting with the MCP server:

  • Use mcp.apify.com via mcp-remote from your local machine to connect and authenticate using OAuth or an API token (as shown in the JSON configuration above).

  • Set up the connection directly in your MCP client UI by providing the URL https://mcp.apify.com/sse?actors=xyzzy/open-router along with an API token (or use OAuth).

  • Connect to mcp.apify.com via Server-Sent Events (SSE), as shown below:

{
"mcpServers": {
"apify": {
"type": "sse",
"url": "https://mcp.apify.com/sse?actors=xyzzy/open-router",
"headers": {
"Authorization": "Bearer <YOUR_API_TOKEN>"
}
}
}
}

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.