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MCP server exposing the AceDataCloud Fish Audio API (text-to-speech with voice conditioning)
About
MCP server exposing the AceDataCloud Fish Audio API (text-to-speech with voice conditioning)
Remote endpoints: streamable-http: https://fish.mcp.acedata.cloud/mcp
Security Report
This MCP Fish server implements OAuth-based authentication and delegates credential management to AceDataCloud's backend, which is architecturally sound. However, several code quality and security concerns exist: JWT tokens are decoded without verification (for logging only, but still risky), sensitive debug logging of decoded claims is excessive, and the broad auto-provisioning flow (which can create credentials and applications) increases the attack surface. The server appropriately uses environment variables for credentials and validates input through Pydantic, but the complexity of the OAuth provider and credential auto-provisioning warrant careful scrutiny. Supply chain analysis found 7 known vulnerabilities in dependencies (0 critical, 5 high severity). Package verification found 1 issue.
7 files analyzed · 17 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
What You'll Need
Set these up before or after installing:
Environment variable: ACEDATACLOUD_API_TOKEN
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
MCP Fish Server
A Model Context Protocol (MCP) server for Fish Audio TTS (Text-to-Speech) via the AceDataCloud platform. Generate natural-sounding speech and explore the Fish voice model library.
Features
- High-quality TTS: Generate speech from text via Fish Audio models
- Voice library: Browse, search, and fetch metadata for Fish voice models
- Asynchronous tasks: Submit generation tasks and poll for results
- Batch task lookup: Query multiple task results in one call
Installation
pip install mcp-fish
Configuration
Set your AceDataCloud API token:
export ACEDATACLOUD_API_TOKEN=your_token_here
Get your token from https://platform.acedata.cloud.
Usage
stdio mode (default)
mcp-fish
HTTP mode
mcp-fish --transport http --port 8000
Tool Reference
| Tool | Description |
|---|---|
fish_generate_audio | Generate speech from text via a Fish voice model |
fish_list_models | List available Fish voice models |
fish_get_model | Fetch metadata for a specific Fish voice model |
fish_get_task | Get the status / result of a generation task |
fish_get_tasks_batch | Batch-fetch the status / result of multiple tasks |
fish_get_usage_guide | Get the API usage guide |
License
MIT — see LICENSE at the repository root.
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