Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@openrouter-mcp Ask claude-3.5-sonnet to review my Python code"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP server for consulting AI models via OpenRouter. Designed for AI assistants like Claude Code to ask other models for help.
npm install -g openrouter-mcpRelated MCP server: Consult7
Variable | Required | Description |
| Yes | Your OpenRouter API key |
| Yes | Comma-separated list of allowed model IDs |
| No | Default system prompt for all requests |
{
"mcpServers": {
"openrouter": {
"command": "npx",
"args": ["-y", "openrouter-mcp"],
"env": {
"OPENROUTER_API_KEY": "sk-or-...",
"OPENROUTER_ALLOWED_MODELS": "anthropic/claude-3.5-sonnet,openai/gpt-4o,google/gemini-2.0-flash-001",
"OPENROUTER_SYSTEM_PROMPT": "You are helping an AI coding assistant. Be direct and provide code examples when relevant."
}
}
}
}ask_modelConsult another AI model for help with coding tasks.
Parameter | Type | Required | Description |
| string | Yes | Model ID from the allowed list |
| string | Yes | Your question or request |
| string | No | Override the default system prompt |
| string[] | No | File paths to read and include as context |
Max 10 files per request
Max 150KB per file
Text files only (no binary)
2 minute timeout per request
MIT
Unclaimed servers have limited discoverability.
If you are the server author, to access and configure the admin panel.
Coding agents from Claude Code, Cursor and Codex claim jobs and lock files on one shared board.
Shared debugging memory for AI coding agents
Adaptive plan/build/review cycles for AI coding assistants, persisted across sessions.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/minovap/openrouter-mcp'
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