OpenRouter MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| OPENROUTER_API_KEY | Yes | Your API key from OpenRouter.ai | |
| OPENROUTER_DEFAULT_MODEL | No | Optional default model to use |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| chat_completionA | Sends conversational context (messages) to OpenRouter.ai for completion using a specified model. Use this for dialogue, text generation, or instruction-following tasks. Supports advanced provider routing and parameter overrides. Returns the generated text response. |
| search_modelsA | Queries the OpenRouter.ai model registry, filtering by various criteria like capabilities, pricing, or provider. Use this to discover models suitable for specific needs. Returns a list of matching model metadata objects. |
| get_model_infoA | Retrieves the complete metadata for a single OpenRouter.ai model specified by its unique ID. Use this when you know the model ID and need its full details (pricing, context limits, capabilities, etc.). Returns a model information object. |
| validate_modelA | Verifies if a given model ID exists within the OpenRouter.ai registry. Use this for a quick check of model ID validity before making other API calls. Returns a boolean value ( |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
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