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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
DSH_MODEL_DEPLOY_PYTHONNoPath to the Python interpreter used to run benchmarks. The plugin picks the interpreter automatically: DSH_MODEL_DEPLOY_PYTHON if set, then python3/python, then conda/miniforge environments under your home directory — the first one that can import numpy, onnx and onnxruntime. DSH's MCP client scrubs inherited DSH_* variables, so to pin an interpreter under DSH set it in the patch entry's env.

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

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription

No tools

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources