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Glama
Fasping
by Fasping

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
healthA

Check LiveBrain MCP health.

live_set_snapshotA

Read the current Ableton Live Set.

generate_basslineC

Generate a deterministic style-aware bassline.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 3 tools

Disambiguation5/5

Each tool serves a clearly distinct function: health checks server status, live_set_snapshot reads the current Ableton Live set, and generate_bassline creates a bassline. There is no overlap or ambiguity between them.

Naming Consistency2/5

Tool names follow mixed conventions: 'health' is a bare noun, 'live_set_snapshot' is a noun phrase, and 'generate_bassline' uses a verb_noun pattern. This inconsistency makes the naming pattern unpredictable.

Tool Count4/5

With only 3 tools, the server feels slightly under-scoped but remains reasonable for a focused integration. Each tool contributes a distinct capability without redundancy.

Completeness4/5

The server covers the core workflow of reading the Live set and generating a bassline, with health as a utility. Minor gaps exist (e.g., no update/apply function), but the primary purpose is adequately served.

Maintenance

ActivityMaintained
ResponsivenessNo issues