Say MCP Server
Related Servers
Alternatives to Say MCP Server
No user-submitted related servers found.
Related Servers
- FlicenseNot gradedqualityBmaintenanceEnables generating spoken audio from text and retrieving available voice characters and styles through MCP tools on macOS.-
- AlicenseAqualityAmaintenanceEnables AI agents to speak using MacOS native text-to-speech, with support for blocking and non-blocking speech and a sequential queue.215MIT
- AlicenseAqualityCmaintenanceMCP server for text-to-speech using macOS say command, enabling speech synthesis, audio file generation, and voice management.57 npm1MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to convert text to speech using Microsoft Edge's Text-to-Speech service with customizable voice options, speech rate, volume, and pitch parameters.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to speak aloud by generating and playing audio through the system output. Supports multiple TTS providers, playback queue management, and configurable voice profiles.32 npm1MIT
- AlicenseNot gradedqualityCmaintenanceEnables text-to-speech synthesis using VOICEPEAK software with support for custom narrators, emotions, and pronunciation dictionaries. Allows generating and playing audio files from text with configurable voice parameters.28 npm6MIT
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: list_voices retrieves available options, while speak performs the core text-to-speech action. There is no overlap or ambiguity between them, making it easy for an agent to select the correct tool.
Both tools follow a consistent verb_noun pattern (list_voices and speak), with clear, descriptive names that align with their functions. There are no deviations or mixed conventions in the naming style.
With only two tools, the server feels thin for a text-to-speech domain. While it covers basic functionality (listing and speaking), it lacks operations like stopping speech, adjusting voice parameters, or managing speech queues, which are common in such systems.
The tool surface is severely incomplete for a text-to-speech server. It provides list and speak functions but misses essential operations such as pausing, resuming, or canceling speech, and offers no control over voice settings like rate or volume, limiting agent workflows.