# Fish Audio MCP MCP Server

> **Fish Audio MCP MCP Server** is a hosted, multitenant Model Context Protocol (MCP) server run by **MewCP** (https://mewcp.com), giving AI agents managed access to Fish Audio MCP.
>
> MewCP takes care of all MCP infrastructure for you — credential storage, OAuth flows,
> token refresh, and production-grade auto-scaling — so your AI agents can connect to
> third-party services and run freely without you managing any MCP server yourself.
>
> Server page:  https://mewcp.com/mcp/fish-audio-mcp
> MewCP docs:   https://docs.mewcp.com
> Full catalog: https://mewcp.com/llms.txt

---

## About

The Fish Audio MCP server gives AI agents direct access to your Fish Audio account: they can browse the voice library, clone a voice, generate speech, transcribe audio, generate or edit images and videos, and produce multi-speaker Story Studio projects for you.

---

## Details

- Server ID: `fish-audio-mcp`
- Version: 1.0.0
- Tools: 48
- Authentication: OAuth, managed by MewCP
- Transport: http

---

## Access

The gateway URL below serves your **entire MewCP toolset**, not this server on its
own. Pasting a config snippet is not enough — Fish Audio MCP has to be in the toolset
first. In order:

1. Add Fish Audio MCP to your toolset at https://mewcp.com/mcp/fish-audio-mcp
2. Connect your Fish Audio MCP account (OAuth); MewCP stores the credential and attaches it to each call
3. Copy your MewCP API key from the dashboard (Developer)
4. Configure your client with the snippet for it below

Once connected, an agent does **not** see this server's tools as top-level tools.
It sees four meta-tools and reaches everything through them:

- `search(query)` — find tools by keyword across the toolset
- `get_schema(tools)` — full description and arguments for the tools you picked
- `list_accounts(provider)` — only when one app has several connected accounts
- `call_tool(server_maskedId, tool_name, args)` — execute

So the list below is what `search` can return for this server, not a set of
callable tool names on their own.

---

## Tools (48)

Descriptions are truncated to 160 characters; call `get_schema`
for the full text and the argument schema. Where a tool is annotated, its type
is shown — treat `destructive` as irreversible.

- `create_asset_folder` _(write)_ — Create an ordinary nested folder. Reuse the same UUID request_id and input to recover a lost response.
- `create_avatar` _(destructive)_ — Create an avatar from one prepared image source, optionally bind an existing voice. Explicit move_existing approval is required for retained images. Reuse…
- `create_media_upload` _(write)_ — Create a one-hour workspace-scoped upload slot for an image, video or audio input, only for a file that is not in Fish yet. To reuse a finished generation…
- `create_voice_clone` _(write)_ — Clone a voice from sample audio and get a voice usable with text_to_speech. Provide 1-5 https URLs of clean speech from ONE speaker (for local files call…
- `estimate_image_edit` _(read)_ — Estimate image edit or upscale cost and validate the request; pass input_object_key for a single image, or inputs for several. This is read-only and creates no…
- `estimate_image_generation` _(read)_ — Estimate image generation cost and validate the request. This is read-only and creates no task or quote.
- `estimate_video_generation` _(read)_ — Estimate video generation cost (text/image/reference-to-video, lip sync, talking avatar) and validate the request. Pass operation, or inputs with roles and let…
- `generate_image` _(destructive)_ — Submit an image generation with the same parameters used for estimation. The API revalidates price before charging credits.
- `generate_image_edit` _(destructive)_ — Submit an image edit with the same parameters used for estimation. The API revalidates price before charging credits.
- `generate_video` _(destructive)_ — Submit a video generation with the same parameters used for estimation. The API revalidates price before charging credits.
- `get_asset` _(read)_ — Read asset original object_key and temporary download URL. Use object_key with compatible generation input roles, never thumbnail_url.
- `get_asset_collection` _(read)_ — Read folder position or avatar portrait/default voice; list children and images separately.
- `get_audio_data` _(read)_ — Internal helper for the Fish Audio player UI: returns the base64-encoded bytes of a fish.audio audio URL. Agents should pass audio URLs around directly instead…
- `get_credit_balance` _(read)_ — Get the authenticated user's Fish Audio plan, remaining package credits, and the per-call TTS text budget. Speech generation costs 1 credit per UTF-8 byte of…
- `get_generation_result` _(read)_ — Get terminal media results and billing; this may reconcile provider state. A finished get_generation_status returns the same results. A result's…
- `get_generation_status` _(read)_ — Poll media status and billing; this may reconcile provider state and credits. While running it returns poll_after_seconds (about 20 for images, 60 for videos):…
- `get_media_model` _(read)_ — Get one media model's prompt policy and, per capability, its parameter schema, required_roles and accepted inputs (kind, mime_types, max_bytes, max_count,…
- `get_upload_url` _(write)_ — Get a temporary upload slot for a local audio file: HTTP PUT the raw file bytes to upload_url (within 1 hour), then pass file_url to speech_to_text.…
- `get_voice` _(read)_ — Get details of one Fish Audio voice by its id: description, languages, tags, popularity stats, a sample audio URL and a default demo text.
- `list_asset_collections` _(read)_ — List direct child folders/avatars/styles; all=true returns a flat tree. Files are listed separately with list_assets.
- `list_assets` _(read)_ — List direct assets; search without collection_id searches the workspace. Paginate using next_cursor and identical filters.
- `list_media_models` _(read)_ — List available Fish image and video models (video includes lip sync and talking avatars). Capabilities are named as in the Fish web app, e.g. t2i…
- `list_my_workspaces` _(read)_ — List the workspaces of the team this connection is authorized for.
- `save_asset` _(write)_ — Save a completed upload or successful task result. Repeated saves return the existing actual location; use update_asset to move it.
- `search_voices` _(read)_ — Search public voices (TTS models) on Fish Audio, or list your own with self=true (includes private and team-shared voices). Omit query and set language to…
- `speech_to_text` _(destructive)_ — Transcribe speech audio to text. Provide a public https URL to the audio file (max 20MB) — for local files get one from get_upload_url first. model=pro…
- `studio_adopt_take` _(destructive)_ — Bind a previous take's audio back to its block (free, no generation). Only adopts cleanly when the take matches the block's current text/voice — see…
- `studio_create_chapter` _(write)_ — Add a chapter (optionally after an existing chapter anchor). A new chapter has no blocks. Add its first block with studio_write_blocks append_to.
- `studio_create_project` _(write)_ — Create a studio project from structured chapters (max 200 blocks — use studio_import_document for whole books). roster maps speaker names to voice_ids from…
- `studio_enhance_text` _(read)_ — Platform-tuned text polish for TTS: expands numbers, phone numbers, dates and symbols into spoken words and adds delivery tags at the density the studio voices…
- `studio_export` _(destructive)_ — Export the project (or selected chapters) to a downloadable audio file. Two phases: without confirmed_credits it returns a quote {blocks_to_generate, credits}…
- `studio_find` _(read)_ — Search block text across the project (case-insensitive substring, or regex=true). Returns matching anchors with snippets and revs — the entry point for fixing…
- `studio_generate` _(destructive)_ — Synthesize audio for blocks: pass blocks (anchors) or chapter, or neither for the whole project. By default only dirty blocks run (unchanged audio is…
- `studio_help` _(read)_ — The operating manual for Story Studio (multi-speaker audio projects). Call this before your first studio operation. Topics: quickstart (default), editing,…
- `studio_import_document` _(write)_ — Import a document or long text (novel, script, article — up to 1.5M chars) into a new studio project. A background LLM splits chapters, casts voices per…
- `studio_list_projects` _(read)_ — List the user's Story Studio projects (name, chapter count, importing flag), newest first. First time operating the studio? Call studio_help.
- `studio_list_takes` _(read)_ — List a block's generated takes (audio history): audio URL, duration, the exact text/voice each take was generated from, and whether it still matches the block…
- `studio_project` _(read)_ — Project overview: chapter outline (anchors, titles, block/dirty counts, durations), speaker roster, and live import/export job state. This is the polling verb…
- `studio_read_blocks` _(read)_ — Read blocks: pass chapter (anchor) for a whole chapter (paginated) or blocks (list of anchors) for specific ones. Returns anchor, rev, voice, text, kind,…
- `studio_recast_speaker` _(destructive)_ — Swap every block using one voice to another voice across the whole project (e.g. change a character's voice after import). Free; affected blocks become dirty…
- `studio_update_chapter` _(destructive)_ — Rename a chapter.
- `studio_update_project` _(destructive)_ — Project-wide settings: rename, default voice/backend for new blocks, audio settings defaults, scene_preset (off|studio adds room ambience), chapter_order (list…
- `studio_write_blocks` _(destructive)_ — Edit blocks with up to 100 ops, applied in order. Op shapes: {"block", "rev", "text"?, "voice"?, "kind"?, "delay"?, "audio_settings"?} updates in place (rev…
- `submit_feedback` _(write)_ — Send feedback about these Fish Audio tools to the team — friction, bugs, missing capabilities, confusing behavior, or things that worked well. Please send one…
- `text_to_speech` _(destructive)_ — Generate speech audio from text with one Fish Audio voice, or a multi-speaker dialogue with several, and return a permanent audio URL. Costs 1 package credit…
- `update_asset` _(destructive)_ — Rename/move an asset. Omitted collection_id leaves its location; explicit null moves to root. No delete.
- `update_asset_collection` _(destructive)_ — Rename/move ordinary folders or edit avatar name/default voice/portrait. Portrait must already be inside the avatar; use update_asset to add reference images.…
- `verify_voice_clone` _(write)_ — Complete speaker verification for a voice clone that returned verification_required: the actual speaker records themselves reading the exact prompt sentence,…

---

## Connect

Gateway URL: https://gateway.mewcp.com/personal/mcp

Every request carries one header:

    Authorization: Bearer <API_KEY>

Replace `API_KEY` with your own key from the dashboard (Developer).

## Apps

### Claude Desktop

Mac & Windows app

- macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
- Windows: `%APPDATA%\Claude\claude_desktop_config.json`

```json
{
  "mcpServers": {
    "mewcp": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote@latest",
        "https://gateway.mewcp.com/personal/mcp",
        "--header",
        "Authorization:${AUTH_HEADER}"
      ],
      "env": {
        "AUTH_HEADER": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcpServers" section in your config? Just add the server entry inside it.

1. Open Claude Desktop → Settings → Developer → "Edit Config"
2. Paste the snippet inside the outer { } of the config file (merge with your existing "mcpServers" section if you have one)
3. Save the file, then quit Claude Desktop completely and reopen it
4. Start a new conversation — your tool will be available

### VS Code

Copilot / Cline

- Command Palette → "MCP: Open User Configuration" (opens mcp.json). For one project only, use .vscode/mcp.json instead.

```json
{
  "mcp.servers": {
    "mewcp": {
      "type": "http",
      "url": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have a "servers" section in your mcp.json? Just add the server entry inside it.

1. Open VS Code → Command Palette (Cmd+Shift+P / Ctrl+Shift+P)
2. Run "MCP: Open User Configuration" to open your mcp.json
3. Paste the snippet and save
4. Start the server when prompted (or from the MCP servers view) and use it in Copilot Chat

### Cursor

AI-first editor

- macOS: `~/.cursor/mcp.json`
- Windows: `%USERPROFILE%\.cursor\mcp.json`

```json
{
  "mcpServers": {
    "mewcp": {
      "url": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcpServers" section in your mcp.json? Just add the server entry inside it.

1. Open Cursor → Settings → Cursor Settings → MCP
2. Click "Add new global MCP server"
3. Paste the snippet and save
4. Restart Cursor

### Codex

OpenAI's CLI agent

- Add the snippet to your Codex MCP config or your standard MCP config file for the CLI tool you use.

```json
{
  "mcpServers": {
    "mewcp": {
      "type": "http",
      "url": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Codex generally reads a standard MCP server block, so you can add this alongside your other configured servers.

1. Open your Codex MCP config or project-level config file
2. Paste the MewCP server block inside the config JSON/TOML structure your tool expects
3. Save the file and restart Codex
4. Verify the tool is available inside a fresh session

### Claude Code

Anthropic's CLI agent

- ~/.claude.json (user scope) or .mcp.json in your project root — create it if it doesn't exist. Or skip the file and use the CLI command below.

```json
{
  "mcpServers": {
    "mewcp": {
      "type": "http",
      "url": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcpServers" section in your config? Just add the server entry inside it.

1. Open ~/.claude.json (or .mcp.json in your project root) in a text editor
2. Paste the snippet inside the outer { } (merge with your existing "mcpServers" section if you have one)
3. Save the file and start (or restart) Claude Code
4. Or skip the file entirely and run the CLI command below instead

### OpenCode

Open-source terminal agent

- ~/.config/opencode/opencode.json (global) or opencode.json in your project root — create it if it doesn't exist.

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mewcp": {
      "type": "remote",
      "url": "https://gateway.mewcp.com/personal/mcp",
      "enabled": true,
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcp" section in your opencode.json? Just add the server entry inside it.

1. Open ~/.config/opencode/opencode.json (or opencode.json in your project root) in a text editor
2. Paste the snippet inside the outer { } (merge with your existing "mcp" section if you have one)
3. Save the file and start (or restart) OpenCode

### OpenClaw

Self-hosted agent gateway

- ~/.openclaw/openclaw.json — create it if it doesn't exist.

```json
{
  "mcp": {
    "servers": {
      "mewcp": {
        "transport": "streamable-http",
        "url": "https://gateway.mewcp.com/personal/mcp",
        "enabled": true,
        "headers": {
          "Authorization": "Bearer API_KEY"
        }
      }
    }
  }
}
```

Already have an "mcp" section in your openclaw.json? Just add the server entry inside "servers".

1. Open ~/.openclaw/openclaw.json in a text editor
2. Paste the snippet inside the outer { } (merge with your existing "mcp" section if you have one)
3. Save the file and restart OpenClaw

### Antigravity

Google's agentic IDE

- ~/.gemini/config/mcp_config.json (global) or .agents/mcp_config.json (workspace-local) — create it if it doesn't exist.

```json
{
  "mcpServers": {
    "mewcp": {
      "serverUrl": "https://gateway.mewcp.com/personal/mcp",
      "headers": {
        "Authorization": "Bearer API_KEY"
      }
    }
  }
}
```

Already have an "mcpServers" section in your config? Just add the server entry inside it. Remote servers must use the "serverUrl" field — the legacy "url"/"httpUrl" fields aren't supported.

1. In the editor's agent side panel, click "…" → "MCP Servers" → "Manage MCP Servers" → "View raw config" (Antigravity CLI: type /mcp instead to open the Interactive MCP Manager)
2. Paste the snippet inside the outer { } (merge with your existing "mcpServers" section if you have one)
3. Save the file — the server connects automatically

### Hermes

Nous Research's CLI agent

- config.yaml in your Hermes config directory (~/.hermes) — add this under a top-level "mcp_servers:" key.

```yaml
mcp_servers:
  mewcp:
    url: "https://gateway.mewcp.com/personal/mcp"
    headers:
      Authorization: "Bearer API_KEY"
```

Already have an "mcp_servers" section in your config.yaml? Just add the server entry inside it.

1. Open config.yaml in your Hermes config directory
2. Paste the snippet under the top-level "mcp_servers:" key (merge with existing entries if you have any)
3. Save the file, then run /reload-mcp in Hermes (or start a fresh session)
4. Ask Hermes "Tell me which MCP-backed tools are available right now" to confirm it connected

### DeepSeek Harness

DeepSeek's agent harness

- cordis.yml in your DSH project — or the patch file you mount plugins from.

```yaml
- id: mcp-mewcp
  name: '@deepseek-ai/dsh-mcp-client'
  config:
    serverName: mewcp
    transport: streamable-http
    url: https://gateway.mewcp.com/personal/mcp
    headers:
      Authorization: "Bearer API_KEY"
```

One plugin instance = one MCP server. Add this entry to your plugin list; don't nest it inside another entry.

1. Open cordis.yml (or your patch file) in your DSH project
2. Paste the entry into your plugin list, keeping the leading dash and indentation
3. Restart DSH (or let HMR reload) — tools register as mcp__mewcp__<tool_name>
4. Verify with: dsh web --dump-config | grep -A3 mcp

## SDKs

### Python

fastmcp client

```python
import asyncio
from fastmcp import Client
from fastmcp.client.transports import StreamableHttpTransport

SERVER_URL = "https://gateway.mewcp.com/personal/mcp"
API_KEY = "API_KEY"

transport = StreamableHttpTransport(
    url=SERVER_URL,
    headers={
        "Authorization": f"Bearer {API_KEY}",
    }
)

async def main():
    client = Client(transport)
    async with client:
        tools = await client.list_tools()
        print(tools)

asyncio.run(main())
```

1. Install fastmcp: pip install fastmcp
2. Copy the snippet into your project
3. Replace API_KEY with your key from the dashboard
4. Run your script

### TypeScript

MCP SDK

```typescript
import { Client } from "@modelcontextprotocol/sdk/client/index.js";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js";

const SERVER_URL = "https://gateway.mewcp.com/personal/mcp";
const API_KEY = "API_KEY";

const transport = new StreamableHTTPClientTransport(new URL(SERVER_URL), {
  requestInit: {
    headers: {
      Authorization: `Bearer ${API_KEY}`,
    },
  },
});

const client = new Client({ name: "mewcp-client", version: "1.0.0" });
await client.connect(transport);

const tools = await client.listTools();
console.log(tools.tools.map((t) => t.name));
```

1. Install: npm install @modelcontextprotocol/sdk
2. Copy the snippet into your project
3. Replace API_KEY with your key from the dashboard
4. Run with Node 18+ as an ES module (e.g. npx tsx script.ts)