Mcp Fish

io.github.AceDataCloud由 GitHub 账号 AceDataCloud 发布v2026.11.1.1更新于 Nov 1, 2026

MCP server exposing the AceDataCloud Fish Audio API (text-to-speech with voice conditioning)

已验证Streamable HTTP可网页运行媒体与设计AI 与机器学习

概览

AI 生成的概览

AceDataCloud Fish 音频 MCP 服务器,让助手把文本转成语音、浏览音色模型并跟踪生成任务。

可以做什么
  • 用 Fish TTS 将文本生成语音,可指定已保存的音色 ID,或用参考音频加逐字稿做一次性音色条件
  • 列出并查看 Fish 音色模型,包括当前账号保存的音色,支持分页与排序
  • 用已获授权的参考音频创建可复用的音色模型
  • 查询单个生成任务或多个任务批量的状态与结果
  • 读取内置使用指南,了解 Fish 工具及其参数
适用场景
适合需要助手把文本变成旁白或语音、复用克隆或公开音色、或在对话中轮询较长 TTS 任务的场景。也可用于在挑选音色前浏览 Fish 音色库。
运行要求
可选托管端点加 OAuth 登录,或用 Bearer 头传 AceDataCloud API 令牌,或本地运行 mcp-fish 包(Python,或需 uv 在 PATH 中的 uvx)并设置 ACEDATACLOUD_API_TOKEN。需要具备服务权限和余额的 AceDataCloud 账号;本地运行仍会调用远程 API。
安装前请注意
生成按目标文本的 UTF-8 字节数计费,使用前请确认价格与账户余额。API 令牌属于机密:应存放在凭据库或环境变量中,不要写进提示词或提交记录,也不要同时配置 OAuth 和固定 Authorization 头。创建音色模型会将其公开,没有私密选项,只能使用有权公开的音频。生成与创建音色都会写入数据并消耗额度。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mcp Fish,将其添加到工作区。
  2. 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
  3. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.AceDataCloud%2Fmcp-fish/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。

{
  "mcpServers": {
    "fish": {
      "type": "http",
      "url": "https://fish.mcp.acedata.cloud/mcp"
    }
  }
}

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

One-shot voice cloning

Pass one public HTTPS reference audio URL plus its exact transcript. This conditions only the current TTS request and does not create a reusable voice model:

python
fish_generate_audio(    text="New speech in the referenced voice",    reference_audio_url="https://cdn.acedata.cloud/reference.mp3",    reference_text="The exact words spoken in the reference audio",)

Use reference_id for saved or public voices, and the one-shot reference fields for a temporary voice. Do not combine them. Reference audio supports MP3/WAV and should be 10–270 seconds. Billing remains based on the target text's UTF-8 byte count.

Find saved voices

Call fish_list_models with self=true to list voices created and saved through AceDataCloud by the calling account, including those created with its other API tokens. This is a list filter, not a privacy setting: saved voices are public and may be searched and used by others. The voice-creation API's visibility input does not make them private or unlisted; this MCP does not expose voice creation.

Use page_size and the 1-based page_number for pagination. With self=true, sort_by supports created_at and task_count, and author_id further filters those saved voices. title_language is only supported for public library queries, not with self=true. The returned has_more is a boolean for account-created voices but may be null for public library queries; use total and page_size for pagination in that case. Pass a returned voice ID as reference_id to fish_generate_audio.

Connect: hosted OAuth, API token, or local stdio

The hosted endpoint is https://fish.mcp.acedata.cloud/mcp. Choose one route for the MCP client:

RouteWhen to use itCredential setup
Hosted OAuthThe client supports remote MCP OAuthAdd only the URL, then sign in to AceDataCloud and approve access. No token needs to be pasted into client configuration.
Hosted API tokenThe client cannot finish OAuth, or you need an explicit integration credentialSend an AceDataCloud API token in the Authorization: Bearer … header. Keep it in a local secret store or environment variable.
Local stdioThe client runs a local MCP processInstall mcp-fish and pass ACEDATACLOUD_API_TOKEN to that process. It still calls the AceDataCloud API.

The hosted service advertises OAuth metadata and Dynamic Client Registration (DCR). DCR registers the client application; it is not an API key. OAuth signs you in and the client sends the resulting Bearer token; it may reuse or create an API credential for the account. Browser sign-in still requires an AceDataCloud account. The hosted service can be metered: review current service documentation and displayed pricing before a real operation. Do not configure both an OAuth login and a fixed Authorization header for the same server.

Hosted OAuth examples

  • Claude and Claude Desktop chat: Add a remote custom connector in Customize → Connectors → Add custom connector, enter https://fish.mcp.acedata.cloud/mcp, select sign-in, and choose Register automatically if Claude asks how to register its OAuth client. Complete consent. Claude Desktop's local claude_desktop_config.json is a separate setup. Claude connector guide.
  • Claude Code: claude mcp add --transport http --scope user fish https://fish.mcp.acedata.cloud/mcp, then claude mcp login fish. Check /mcp. Claude Code MCP guide.
  • Cursor: Add a remote server with only https://fish.mcp.acedata.cloud/mcp. For a project, merge the entry below into <project>/.cursor/mcp.json; for personal use, use ~/.cursor/mcp.json. Cursor MCP guide.
  • VS Code / Copilot: Run MCP: Add Server, select HTTP, enter https://fish.mcp.acedata.cloud/mcp, then finish the browser sign-in. New portable workspace configs use <project>/.mcp.json; the VS Code-specific format below uses <project>/.vscode/mcp.json or the user profile. Check MCP: List Servers. VS Code MCP setup.
  • Codex: codex mcp add fish --url https://fish.mcp.acedata.cloud/mcp, then codex mcp login fish. Its user settings are in ~/.codex/config.toml. Official Codex MCP guide.

Cursor project config (OAuth):

json
{  "mcpServers": {    "fish": {"url": "https://fish.mcp.acedata.cloud/mcp"}  }}

VS Code-specific workspace config (OAuth):

json
{  "servers": {    "fish": {"type": "http", "url": "https://fish.mcp.acedata.cloud/mcp"}  }}

Hosted API token

  1. Open Ace Data Cloud → Applications. Sign in, or register an account first.
  2. Find General application. If it has not been created, choose Initialize General Application. A general key can use the services available to your account; a dedicated application's key is limited to its service. Check the required service/model access and current pricing.
  3. Copy the API Key from the application card, or open Keys / Manage Keys → Create to create a separate key for this integration. Give it a recognizable name so you can revoke or rotate it independently.
  4. When creating a key, review Expiration Time, Set Usage Limitation, and Allowed APIs. Enable only the restrictions you need, allow the operations you will call, then click Create and copy the token from the key list. Task lookup does not grant permission to submit a generation. Confirm the application's balance can cover your first request; any trial allowance is whatever your account currently displays.
  5. Copy only the token value, without quotation marks, spaces, or Bearer . An API Key / API Token field expects this raw value; only a manually configured HTTP Authorization header needs the Bearer prefix. A platform-... account-management token cannot replace a generation API key.

[Copy an application API key or open Manage Keys]

[Create a separately named key with optional restrictions]

Save the key in the client's credential store or the environment variable shown below. Never put it in a prompt, shared workflow, screenshot, or Git commit. If authentication fails, check the full copied value, application/service access, expiration, usage limit, and balance before creating another key.

A fixed Bearer header bypasses OAuth. If the header is invalid, remove it before trying browser sign-in; keep the saved credential private.

For Claude Code, the shell expands the token when you add the server; treat the saved user MCP config as a secret:

bash
export ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'claude mcp add --transport http --scope user fish https://fish.mcp.acedata.cloud/mcp \  --header "Authorization: Bearer $ACEDATACLOUD_API_TOKEN"

For a Claude Code project config, put a variable reference in <project>/.mcp.json and set that variable in the environment that launches Claude Code:

json
{  "mcpServers": {    "fish": {      "type": "http",      "url": "https://fish.mcp.acedata.cloud/mcp",      "headers": {"Authorization": "Bearer ${ACEDATACLOUD_API_TOKEN}"}    }  }}

Cursor uses a different environment-variable syntax in ~/.cursor/mcp.json or an uncommitted project config:

json
{  "mcpServers": {    "fish": {      "url": "https://fish.mcp.acedata.cloud/mcp",      "headers": {"Authorization": "Bearer ${env:ACEDATACLOUD_API_TOKEN}"}    }  }}

In VS Code, run MCP: Open User Configuration and merge this server plus its masked input; ${input:...} is for VS Code's user/workspace format and is not portable to the Agent Host .mcp.json format:

json
{  "inputs": [    {"id": "acedata-fish-token", "type": "promptString", "description": "AceDataCloud API token", "password": true}  ],  "servers": {    "fish": {      "type": "http",      "url": "https://fish.mcp.acedata.cloud/mcp",      "headers": {"Authorization": "Bearer ${input:acedata-fish-token}"}    }  }}

For Cline, use its MCP configuration UI or CLI file ~/.cline/data/settings/cline_mcp_settings.json; its remote transport value is streamableHttp. For JetBrains AI Assistant, add a remote URL from Settings → Tools → AI Assistant → Model Context Protocol (MCP). For Zed, use a context_servers entry with the URL only for OAuth or add a local Bearer header. These clients have different configuration schemas; follow their current UI rather than copying another client's JSON. Cline · JetBrains · Zed.

Local stdio

Install the package and give the local process an API token:

bash
python -m pip install mcp-fishexport ACEDATACLOUD_API_TOKEN='YOUR_API_TOKEN'mcp-fish

For Claude Desktop local MCP, merge this entry into the file opened by its developer settings (~/Library/Application Support/Claude/claude_desktop_config.json on macOS). uvx requires uv on PATH:

json
{  "mcpServers": {    "fish": {      "command": "uvx",      "args": ["mcp-fish"],      "env": {"ACEDATACLOUD_API_TOKEN": "YOUR_API_TOKEN"}    }  }}

Keep this user-level file private. Self-hosted HTTP uses mcp-fish --transport http --port 8000; expose it only with suitable network and TLS controls. Local execution still calls the AceDataCloud API.

Check before using the service

  1. https://fish.mcp.acedata.cloud/health returning {"status":"ok"} checks endpoint reachability only.
  2. Confirm that the MCP client loads tools. fish_get_usage_guide is a reference tool; it does not verify downstream API access or balance.
  3. If you need a full API check, call fish_generate_audio with your own valid input after reviewing current service documentation and displayed pricing. If the result contains a task ID, call fish_get_task on that same ID until terminal success or failure. Do not resubmit the operation just to check progress.

For 401, check which auth route the client used and whether the token or OAuth session is valid. A 403 may mean an account permission or content moderation failure; read the returned error. Insufficient balance and downstream service failures need their own diagnosis. A listed tool or submitted task does not prove a successful result.

Tool Reference

ToolDescription
fish_generate_audioGenerate speech from text via a Fish voice model
fish_list_modelsList available Fish voice models
fish_get_modelFetch metadata for a specific Fish voice model
fish_get_taskGet the status / result of a generation task
fish_get_tasks_batchBatch-fetch the status / result of multiple tasks
fish_get_usage_guideGet the API usage guide

Documentation

Documentation

License

MIT — see LICENSE at the repository root.

Create a reusable public voice

fish_create_model(title="My voice", voices="https://example.com/authorized-voice.wav") creates a saved public voice. Use only audio you have permission to process and publish; other users may discover and use the resulting voice. No private or unlisted option is supported. Optional inputs are description, cover_image, tags, texts, enhance_audio_quality, and generate_sample.

A successful create returns a voice _id; pass it as reference_id to fish_generate_audio. fish_list_models(self=true) lists your saved voices. For one-shot reference conditioning without saving a reusable voice, use fish_generate_audio(references=...) instead.

来源:README.md,提交 a7609a4

工具

7

fish_generate_audio

Generate speech audio from text using Fish TTS. Use this when: - You want to convert text to speech - You need AI-generated audio narration Returns: JSON response containing task_id and audio data when complete. Example: fish_generate_audio( text="Hello, welcome to our service!", reference_id="d7900c21663f485ab63ebdb7e5905036" )

输入参数textasyncmodeltop_pformatpromptlatencyprosodyvoice_idnormalizereferencesmp3_bitrate另有 10 个

fish_get_usage_guide

Get a comprehensive guide for using the Fish TTS tools. Provides detailed information on how to use the Fish tools effectively, including parameters, examples, and best practices. Returns: Complete usage guide for Fish TTS tools.

无需输入参数。

fish_list_models

List Fish voices; has_more is boolean for self=true, otherwise possibly null.

输入参数tagselftitlesort_bylanguageauthor_idpage_sizepage_numbertitle_language

fish_get_model

Get a Fish voice model by ID. Returns: JSON response from /fish/model/{id}.

输入参数model_id必填

fish_create_model

Save a cloned voice long-term and publicly; other users may discover and use it. Use only reference audio authorized for processing and publication as a reusable voice. There is no private/unlisted option. For one-shot reference conditioning without saving a reusable model, use fish_generate_audio. A successful create returns HTTP 201 and a voice _id; pass that _id as reference_id to fish_generate_audio. Do not retry an uncertain create blindly.

输入参数tagstextstitle必填voices必填cover_imagedescriptiongenerate_sampleenhance_audio_quality

fish_get_task

Query the status and result of a Fish audio generation task. Use this to check if a task is complete and retrieve the resulting audio URL. Task states: - 'pending': Task is queued — keep polling - 'processing': Task is being processed — keep polling - 'complete': Task finished successfully - 'failed': Task failed (check error message) Returns: Task status and result data including audio URL.

输入参数task_id必填

fish_get_tasks_batch

Query the status of multiple Fish tasks at once. Efficiently checks the status of multiple audio generation tasks in a single request. Returns: Status and result data for all queried tasks.

输入参数task_ids必填

版本历史

13
  1. v2026.11.1.1最新Nov 1, 2026
  2. v2026.10.18.5Oct 18, 2026
  3. v2026.10.18.0Oct 18, 2026
  4. v2026.10.12.1Oct 12, 2026
  5. v2026.10.11.0Oct 11, 2026
  6. v2026.10.8.0Oct 8, 2026
  7. v2026.10.7.2Oct 7, 2026
  8. v2026.10.6.0Oct 6, 2026
  9. v2026.10.4.1Oct 4, 2026
  10. v2026.10.4.0Oct 4, 2026
  11. v2026.9.30.0Sep 30, 2026
  12. v2026.9.29.0Sep 29, 2026
  13. v2026.9.6.1Sep 16, 2026

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