WebVoice MCP Server

WebVoice MCP Server

Exposes WebVoice REST API tools to MCP clients for voice, chat, translation, and image generation via natural language.

Category
访问服务器

README

WebVoice MCP Server

<!-- mcp-name: io.github.supermarco74/webvoice-mcp -->

Local Model Context Protocol server that exposes WebVoice REST API tools to Cursor, Claude Desktop, and other MCP clients.

Install from PyPI:

pip install webvoice-mcp

From source (development)

pip install -r requirements-mcp.txt
# or editable install from repo root:
pip install -e .

Configure Cursor

Option A — Agent registration via MCP (no browser)

  1. Add MCP without WEBVOICE_API_KEY first (or use the register tools from any client).
  2. Call webvoice_register_send_code with your email.
  3. Read the OTP from email, then webvoice_register_verify with the code.
  4. Response includes api_key (once), onboarding.credits, onboarding.can_use_api, and optional onboarding.solana (wallet + memo_code for USDC/SOL top-up).
  5. If can_use_api is true, use chat/TTS/STT immediately with welcome credits.
  6. Set WEBVOICE_API_KEY in MCP config and restart Cursor (optional Solana/PayPal top-up later).

REST equivalent: POST /api/v1/auth/send-code/ → POST /api/v1/auth/verify-code/ with create_api_key: true. See API docs.

Option B — Browser signup (human)

  1. Login — email OTP or Google (/accounts/login/). New users get welcome + daily free credits.
  2. API key — API dashboard → Create key → copy wv_… (shown once).
  3. Credits (optional) — Buy credits, Premium (PayPal), or Solana (send USDC/SOL with your personal memo from webvoice_onboarding).

When balance is zero, MCP calls fail with insufficient credits; you receive an email with a recharge link.

MCP config

Edit Cursor MCP config (~/.cursor/mcp.json or Settings → MCP):

{
  "mcpServers": {
    "webvoice": {
      "command": "webvoice-mcp",
      "env": {
        "WEBVOICE_API_KEY": "wv_your_key_here"
      }
    }
  }
}

If webvoice-mcp is not on PATH, use Python module form:

{
  "mcpServers": {
    "webvoice": {
      "command": "python",
      "args": ["-m", "webvoice_mcp"],
      "cwd": "/path/to/webvoice",
      "env": {
        "WEBVOICE_API_KEY": "wv_your_key_here"
      }
    }
  }
}

Optional: WEBVOICE_BASE_URL (default https://webvoice.easytaskflow.app/api/v1).

Tools

Tool Description
webvoice_register_send_code Start registration — OTP to email
webvoice_register_verify Complete registration → API key + onboarding (credits, can_use_api)
webvoice_onboarding Credits, can_use_api, optional Solana wallet/memo, recharge URLs
webvoice_status Credits balance
webvoice_list_chat_models Available chat models
webvoice_list_voices TTS voices
webvoice_chat Chat completions (DeepSeek default)
webvoice_tts Text-to-speech → MP3
webvoice_stt Transcribe local audio file
webvoice_translate Text translation
webvoice_image MiniMax image generation

Example agent flow

New agent (register → use → optional top-up):

  1. webvoice_register_send_code → webvoice_register_verify → save api_key.
  2. If onboarding.can_use_api: call webvoice_chat / webvoice_tts / … immediately.
  3. Optional: webvoice_onboarding → Solana memo or PayPal URLs when you need more credits.

Existing account:

  1. Ask the model to call webvoice_chat with your question.
  2. Call webvoice_tts with output_path to save spoken reply.
  3. Call webvoice_stt with a recorded audio_path for voice input.

Credits are billed on your WebVoice account per API call.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选