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OpenRouterai
Servidor MCP para OpenRouter.AI Integración
3 years
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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.
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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!