mcp-llm-gateway
by daedalus
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| API_KEY | No | Optional API key for downstream (passthrough) | |
| TIMEOUT | No | Request timeout in seconds (optional, default: 60) | 60 |
| DEFAULT_MODEL | Yes | Default model to use for completions | |
| DOWNSTREAM_URL | Yes | Base URL for the OpenAI-compatible downstream API | |
| MODEL_LIST_URL | No | URL to fetch available models from (optional, defaults to models.dev) | models.dev |
Capabilities
Features and capabilities supported by this server
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| list_modelsA | List all available models from the configured providers. Fetches models from the configured providers, with caching. Can filter by provider ID. |
| completeA | Send a completion request to the downstream LLM provider. Proxies the request to the configured OpenAI-compatible downstream endpoint. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
| models_list | Resource URI that returns the list of available models. Returns: JSON array of model objects. Example: >>> models_list() [{"id": "gpt-4", "object": "model", ...}] |
| config_info | Resource URI that returns current gateway configuration. Returns: Configuration details including providers, model list URL, etc. Example: >>> config_info() {"model_list_url": "...", "cache_ttl": 300, "providers": [...]} |
| providers_list | Resource URI that returns the list of configured providers. Returns: JSON array of provider objects. Example: >>> providers_list() [{"id": "openai", "name": "OpenAI", "type": "openai", ...}] |
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