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@mseep/openrouterai

v2.2.0

Published

MCP server for OpenRouter.ai integration

Readme

OpenRouter MCP Server

MCP Server Version TypeScript License

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.

Features

  • Model Access

    • Direct access to all OpenRouter.ai models
    • Automatic model validation and capability checking
    • Default model configuration support
  • Performance Optimization

    • Smart model information caching (1-hour expiry)
    • Automatic rate limit management
    • Exponential backoff for failed requests
  • Unified Response Format

    • Consistent ToolResult structure for all responses
    • Clear error identification with isError flag
    • Structured error messages with context

Installation

pnpm install @mcpservers/openrouterai

Configuration

Prerequisites

  1. Get your OpenRouter API key from OpenRouter Keys
  2. Choose a default model (optional)

Environment Variables

OPENROUTER_API_KEY=your-api-key-here
OPENROUTER_DEFAULT_MODEL=optional-default-model

Setup

Add to your MCP settings configuration file (cline_mcp_settings.json or claude_desktop_config.json):

{
  "mcpServers": {
    "openrouterai": {
      "command": "npx",
      "args": ["@mcpservers/openrouterai"],
      "env": {
        "OPENROUTER_API_KEY": "your-api-key-here",
        "OPENROUTER_DEFAULT_MODEL": "optional-default-model"
      }
    }
  }
}

Response Format

All tools return responses in a standardized structure:

interface ToolResult {
  isError: boolean;
  content: Array<{
    type: "text";
    text: string; // JSON string or error message
  }>;
}

Success Example:

{
  "isError": false,
  "content": [{
    "type": "text",
    "text": "{\"id\": \"gen-123\", ...}"
  }]
}

Error Example:

{
  "isError": true,
  "content": [{
    "type": "text",
    "text": "Error: Model validation failed - 'invalid-model' not found"
  }]
}

Available Tools

chat_completion

Send messages to OpenRouter.ai models:

interface ChatCompletionRequest {
  model?: string;
  messages: Array<{role: "user"|"system"|"assistant", content: string}>;
  temperature?: number; // 0-2
}

// Response: ToolResult with chat completion data or error

search_models

Search and filter available models:

interface ModelSearchRequest {
  query?: string;
  provider?: string;
  minContextLength?: number;
  capabilities?: {
    functions?: boolean;
    vision?: boolean;
  };
}

// Response: ToolResult with model list or error

get_model_info

Get detailed information about a specific model:

{
  model: string;           // Model identifier
}

validate_model

Check if a model ID is valid:

interface ModelValidationRequest {
  model: string;
}

// Response: 
// Success: { isError: false, valid: true }
// Error: { isError: true, error: "Model not found" }

Error Handling

The server provides structured errors with contextual information:

// Error response structure
{
  isError: true,
  content: [{
    type: "text",
    text: "Error: [Category] - Detailed message"
  }]
}

Common Error Categories:

  • Validation Error: Invalid input parameters
  • API Error: OpenRouter API communication issues
  • Rate Limit: Request throttling detection
  • Internal Error: Server-side processing failures

Handling Responses:

async function handleResponse(result: ToolResult) {
  if (result.isError) {
    const errorMessage = result.content[0].text;
    if (errorMessage.startsWith('Error: Rate Limit')) {
      // Handle rate limiting
    }
    // Other error handling
  } else {
    const data = JSON.parse(result.content[0].text);
    // Process successful response
  }
}

Development

See CONTRIBUTING.md for detailed information about:

  • Development setup
  • Project structure
  • Feature implementation
  • Error handling guidelines
  • Tool usage examples
# Install dependencies
pnpm install

# Build project
pnpm run build

# Run tests
pnpm test

Changelog

See CHANGELOG.md for recent updates including:

  • Unified response format implementation
  • Enhanced error handling system
  • Type-safe interface improvements

License

This project is licensed under the Apache License 2.0 - see the LICENSE file for details.