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

OpenRouterai
MCP Server pour l'intégration OpenRouter.ai
3 years
Works with Finder
1
Github Watches
5
Github Forks
35
Github Stars
OpenRouter MCP Server
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
- Consistent
Installation
pnpm install @mcpservers/openrouterai
Configuration
Prerequisites
- Get your OpenRouter API key from OpenRouter Keys
- 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
Advanced software engineer GPT that excels through nailing the basics.
Take an adjectivised noun, and create images making it progressively more adjective!
Siri Shortcut Finder – your go-to place for discovering amazing Siri Shortcuts with ease
I find academic articles and books for research and literature reviews.
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.
Manipulation basée sur Micropython I2C de l'exposition GPIO de la série MCP, dérivée d'Adafruit_MCP230XX
MCP Server pour récupérer le contenu de la page Web à l'aide du navigateur sans tête du dramwright.
Un puissant plugin Neovim pour gérer les serveurs MCP (Protocole de contexte modèle)
Pont entre les serveurs Olllama et MCP, permettant aux LLM locaux d'utiliser des outils de protocole de contexte de modèle
La communauté du curseur et de la planche à voile, recherchez des règles et des MCP
🧑🚀 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.
L'application tout-en-un desktop et Docker AI avec chiffon intégré, agents AI, constructeur d'agent sans code, compatibilité MCP, etc.
Serveurs MCP géniaux - une liste organisée de serveurs de protocole de contexte de modèle
Reviews

user_4uFDKjCv
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!