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Glama
daedalus

mcp-llm-gateway

by daedalus
OverviewSchemaRelated ServersScoreDiscussions
Python
Remote

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
API_KEYNoOptional API key for downstream (passthrough)
TIMEOUTNoRequest timeout in seconds (optional, default: 60)60
DEFAULT_MODELYesDefault model to use for completions
DOWNSTREAM_URLYesBase URL for the OpenAI-compatible downstream API
MODEL_LIST_URLNoURL to fetch available models from (optional, defaults to models.dev)models.dev

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
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

NameDescription
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

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription
models_listResource URI that returns the list of available models. Returns: JSON array of model objects. Example: >>> models_list() [{"id": "gpt-4", "object": "model", ...}]
config_infoResource 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_listResource 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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