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
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"
}
}
}
}
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"
}]
}
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 parametersAPI Error: OpenRouter API communication issuesRate Limit: Request throttling detectionInternal 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.