MCP FishAudio Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| FISH_API_KEY | Yes | Your Fish Audio API key | |
| FISH_MODEL_ID | No | TTS model to use (s1, speech-1.5, speech-1.6) | s1 |
| FISH_STREAMING | No | Enable streaming by default | false |
| AUDIO_OUTPUT_DIR | No | Directory for audio file output | ~/.fish-audio-mcp/audio_output |
| FISH_MP3_BITRATE | No | MP3 bitrate (64, 128, 192) | 128 |
| FISH_REFERENCE_ID | No | Default voice reference ID | |
| FISH_OUTPUT_FORMAT | No | Default audio format (mp3, wav, pcm, opus) | mp3 |
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
| Name | Description |
|---|---|
| fish_audio_ttsC | Generate speech from text using Fish Audio TTS API |
| fish_audio_list_referencesA | List all configured voice references |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 2 tools
The two tools have clearly distinct purposes: one lists voice references (a read-only operation), and the other generates speech (a synthesis operation). There is no overlap or ambiguity between these functions, making it easy for an agent to select the correct tool.
Both tools follow a consistent snake_case naming pattern with a 'fish_audio_' prefix, followed by a descriptive verb_noun combination (list_references and tts). This uniformity enhances readability and predictability across the tool set.
With only two tools, the server feels under-scoped for a TTS API domain. Key operations like managing references (e.g., create, update, delete) or configuring TTS parameters are missing, limiting the server's utility and forcing agents to work around gaps.
The tool set is severely incomplete for a TTS API. While it covers listing references and generating speech, it lacks essential CRUD operations for references (e.g., create, update, delete) and configuration tools (e.g., set parameters, list voices). This will likely cause agent failures in common workflows.