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Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

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
}

Tools

Functions exposed to the LLM to take actions

NameDescription
inspect_modelA

Summarize a local GGUF or safetensors model: architecture, parameter count, quantization, context length, file size, tensor count. Reads only headers — inspecting a 70 GB model is instant. Works on extension-less GGUF blobs (e.g. Ollama's).

list_tensorsB

Tensor names, shapes, and storage types inside a model file. Filter by substring (e.g. 'attn' or 'blk.0').

estimate_vramA

Will this model fit? Estimates memory as exact weights size plus a modeled fp16 KV cache (GGUF; context defaults to min(model context, 8192)). Safetensors models get a weights-only figure.

get_metadataA

The model's metadata key-value store (GGUF) or metadata block (safetensors). Large arrays arrive as {count, sample} summaries and long strings are truncated, so tokenizer vocabularies can't flood the context. Filter keys by substring (e.g. 'tokenizer' or 'rope').

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

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