Skip to main content
Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
AZURE_SPEECH_KEYYesYour Azure Speech Services API key
AZURE_SPEECH_REGIONYesAzure region for Speech Services (e.g., westeurope)

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
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
synthesize_speechA

Convert text to speech using Microsoft Azure Speech Services. Supports multiple languages and voices.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.8/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool in the server, there is no possibility of confusion or overlap. The single tool has a clear and unique purpose of converting text to speech.

Naming Consistency5/5

The tool name 'synthesize_speech' follows a clear verb_noun pattern, which is consistent and predictable. Although there is only one tool, the naming convention is sound and would align with a well-structured set.

Tool Count3/5

The server has a single tool, which feels thin for a text-to-speech service. While a minimal server could focus solely on synthesis, a typical TTS backend would benefit from additional tools such as listing available voices or managing audio outputs, making the current count borderline.

Completeness3/5

The core action of synthesizing speech is covered, but there is a notable gap in metadata discovery—agents cannot query available voices or languages programmatically. This limits the surface's ability to fully support dynamic voice selection, though the synthesis itself is functional.

Maintenance

ActivityInactive
ResponsivenessNo issues