Mcp Fish

io.github.AceDataCloudPublished by GitHub account AceDataCloudv2026.11.1.1Updated Nov 1, 2026

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

VerifiedStreamable HTTPWeb executableMedia & DesignAI & ML

Overview

AI-generated overview

AceDataCloud Fish Audio MCP server that lets an assistant turn text into speech, browse voice models, and track generation tasks.

What you can do
  • Generate speech audio from text with Fish TTS, optionally conditioned on a saved voice ID or a one-shot reference audio URL plus transcript
  • List and inspect Fish voice models, including the voices saved by the calling account, with pagination and sorting
  • Create a reusable voice model from authorized reference audio
  • Check the status and result of a single generation task or several tasks in one batch
  • Read a built-in usage guide describing the Fish tools and their parameters
When to use it
Useful when you want an assistant to produce narration or spoken audio from text, reuse a cloned or public voice, or poll long-running TTS jobs without leaving the chat. Also handy for exploring the Fish voice library before choosing a voice.
Requirements
Either the hosted endpoint with OAuth sign-in, or an AceDataCloud API token sent as a Bearer header, or the local mcp-fish package (Python, or uvx with uv on PATH) with ACEDATACLOUD_API_TOKEN set. An AceDataCloud account with service access and balance is required; local execution still calls the remote API.
Before you install
Generation is metered and billed by the target text's UTF-8 byte count, so check pricing and account balance first. The API token is a secret: keep it in a credential store or environment variable, never in prompts or commits, and do not configure both OAuth and a fixed Authorization header. Creating a voice model publishes it publicly with no private option, so only use audio you may publish. Generation and voice creation write data and spend credit.

Installation

In SourceWeft

  1. Open Mcp Fish in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/io.github.AceDataCloud%2Fmcp-fish/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "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.

Source: README.md at commit a7609a4

Tools

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" )

Parameterstextasyncmodeltop_pformatpromptlatencyprosodyvoice_idnormalizereferencesmp3_bitrate+10 more

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.

Takes no parameters.

fish_list_models

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

Parameterstagselftitlesort_bylanguageauthor_idpage_sizepage_numbertitle_language

fish_get_model

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

Parametersmodel_idrequired

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.

Parameterstagstextstitlerequiredvoicesrequiredcover_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.

Parameterstask_idrequired

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.

Parameterstask_idsrequired

Version history

13
  1. v2026.11.1.1LatestNov 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

Score

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