Schema | mcp-llama-swap

mcp-llama-swap

Describes the environment variables required to run the server.

Name	Required	Description	Default
`LLAMA_SWAP_CONFIG`	No	Path to configuration JSON file. Overrides default config path.

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.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
list_modelsA	List available llama.cpp model configurations and their load status.
get_current_modelA	Get the currently loaded llama.cpp model.
swap_modelA	Swap to a different llama.cpp model. Unloads any currently loaded model, loads the requested one, and waits for the health endpoint to confirm readiness. Args: model: Alias of the model to load
create_model_configA	Generate a new service config for a llama-server model. Creates a launchd plist (macOS) or systemd unit (Linux) that can be used with swap_model. Args: name: Short alias for the model (e.g., "coder", "planner") model_path: Absolute path to the GGUF model file context_size: Context window size (default: 4096) gpu_layers: Number of GPU layers, -1 for all (default: -1) port: Port for llama-server (default: 8000)

Interactive templates invoked by user choice

Name	Description
`swap-workflow`	Guided workflow for planning with a reasoning model, then implementing with a coding model.

Contextual data attached and managed by the client

Name	Description
`config_resource`	Current llama-swap configuration.
`status_resource`	Current model status and health.

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/oussama-kh/mcp-llama-swap'

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