Cover image
Try Now
2025-03-28

MCP Server pour l'intégration OpenRouter.ai

3 years

Works with Finder

1

Github Watches

5

Github Forks

35

Github Stars

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.

OpenRouter Server MCP server

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.

相关推荐

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • lumpenspace
  • Take an adjectivised noun, and create images making it progressively more adjective!

  • https://appia.in
  • Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • tomoyoshi hirata
  • Sony α7IIIマニュアルアシスタント

  • apappascs
  • Découvrez la collection la plus complète et la plus à jour de serveurs MCP sur le marché. Ce référentiel sert de centre centralisé, offrant un vaste catalogue de serveurs MCP open-source et propriétaires, avec des fonctionnalités, des liens de documentation et des contributeurs.

  • ShrimpingIt
  • Manipulation basée sur Micropython I2C de l'exposition GPIO de la série MCP, dérivée d'Adafruit_MCP230XX

  • jae-jae
  • MCP Server pour récupérer le contenu de la page Web à l'aide du navigateur sans tête du dramwright.

  • ravitemer
  • Un puissant plugin Neovim pour gérer les serveurs MCP (Protocole de contexte modèle)

  • patruff
  • Pont entre les serveurs Olllama et MCP, permettant aux LLM locaux d'utiliser des outils de protocole de contexte de modèle

  • pontusab
  • La communauté du curseur et de la planche à voile, recherchez des règles et des MCP

  • av
  • Exécutez sans effort LLM Backends, API, Frontends et Services avec une seule commande.

  • WangRongsheng
  • 🧑‍🚀 全世界最好的 LLM 资料总结 (数据处理、模型训练、模型部署、 O1 模型、 MCP 、小语言模型、视觉语言模型) | Résumé des meilleures ressources LLM du monde.

  • Mintplex-Labs
  • L'application tout-en-un desktop et Docker AI avec chiffon intégré, agents AI, constructeur d'agent sans code, compatibilité MCP, etc.

  • appcypher
  • Serveurs MCP géniaux - une liste organisée de serveurs de protocole de contexte de modèle

    Reviews

    2 (1)
    Avatar
    user_4uFDKjCv
    2025-04-17

    I recently tried openrouterai by heltonteixeira on GitHub and it's fantastic! The tool is very user-friendly and supports multiple languages. It streamlines routing AI applications effortlessly. Starting was simple with the provided URL, and the welcome message is highly informative. Highly recommended for anyone working with AI routing!