MCP server for OpenRouter.ai integration
MCP server for OpenRouter.ai integration
A Model Context Protocol (MCP) server providing seamless integration with OpenRouter.ai's diverse model ecosystem. Access various AI models through a unified, type-safe interface with built-in caching, rate limiting, and error handling.
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| Tool | What it does |
|---|---|
| chat_completion | This example requests a completion from anthropic/claude-3-haiku, limits the response to 500 tokens. It specifies provider routing options: prefer fp16 quantized models, ignore openai providers, sort remaining providers |
| search_models | |
| get_model_info | |
| validate_model | // Response: // Success: { isError: false, valid: true } // Error: { isError: true, error: "Model not found" } |
claude mcp add openrouterai --env OPENROUTER_API_KEY=your-value --env OPENROUTER_DEFAULT_MODEL=your-value --env OPENROUTER_MAX_TOKENS=your-value --env OPENROUTER_PROVIDER_QUANTIZATIONS=your-value --env OPENROUTER_PROVIDER_IGNORE=your-value -- npx -y @mcpservers/openrouterai| Variable | Description | Required |
|---|---|---|
| OPENROUTER_API_KEY | Credential the server authenticates with. | Yes |
| OPENROUTER_DEFAULT_MODEL | Configuration value read at startup. | Optional |
| OPENROUTER_MAX_TOKENS | Credential the server authenticates with. | Yes |
| OPENROUTER_PROVIDER_QUANTIZATIONS | Configuration value read at startup. | Optional |
| OPENROUTER_PROVIDER_IGNORE | Configuration value read at startup. | Optional |
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Desktop application for managing Model Context Protocol servers (MCP). Provides a centralized interface to configure and manage MCP servers for use