WordCast MCP

io.github.rocnubie由 GitHub 账号 rocnubie 发布v0.1.0更新于 Oct 24, 2026

WordCast is a browser-based text-to-speech reader that runs entirely on-device using the Web Speech

已验证STDIO仅桌面知识与记忆媒体与设计

概览

AI 生成的概览

一个本地只读 MCP 服务器,为助手提供 WordCast 的语音、TTS、常见问题与官方链接信息。

可以做什么
列出 WordCast 公开的标准语音与文本转语音配置,无需参数,返回 markdown。获取 WordCast 的官方链接清单,如网站、支持与文档。读取内置资源,涵盖支持的语音、语言与 TTS 模式、简短常见问题以及标准网址。使用内置提示概括 WordCast 是什么,并规划基于其语音的朗读流程。
适用场景
当助手需要关于 WordCast 的准确标准信息(语音、语言、常见问题或官方链接)时适用,例如回答用户提问或起草朗读方案。它本身不执行语音合成。
运行要求
以本地进程通过 stdio 运行;README 说明可通过 Smithery 安装,或克隆源码后用 Node.js 运行(pnpm install、node src/index.mjs)。未声明需要 API 密钥、账户或环境变量。
安装前请注意
只读且不索取凭据,但内容仅限于 WordCast 自身的公开站点元数据;返回的链接与语音信息应视为参考信息,而非其他工具的权威依据。

安装

在 SourceWeft 中

  1. 打开 控制台中的 WordCast MCP,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

WordCast MCP Server

MCP server for WordCast

[MCP Badge] [License: MIT] [Node] [Read Only] [MCP]

[WordCast]

A Model Context Protocol server that exposes the canonical WordCast knowledge surface — voice and TTS workflows, blog topics, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.

Official website: https://wordcast.app

🎙️ About WordCast

WordCast is a browser-based text-to-speech reader that converts written content into audio entirely on your device. There is no backend server involved: text, files, and URLs are processed locally using the speech synthesis voices already installed on your operating system. The result is a tool that starts playing in under a second, works without creating an account, imposes no character limits or usage caps, and remains completely free. It accepts a wide range of input types — pasted text, uploaded documents, or a web URL — and outputs clear, natural-sounding audio through any of the voices available on your system.

Key Features

  • Local processing only — text and files never leave the device; computation happens entirely in the browser using OS-native speech synthesis
  • Broad format support — accepts PDF, DOCX, EPUB, RTF, TXT, MD, and HTML file uploads, as well as pasted text and URLs pointing to online articles
  • 200+ voices across 60+ languages — leverages the full set of voices pre-installed on the user's operating system, covering a wide range of languages and accents
  • Instant playback — audio begins in under one second with no loading screens, server round-trips, or queued processing
  • Playback controls — adjustable reading speed, lock-screen media controls, and media session integration for a consistent listening experience across devices
  • No account required — no signup, no subscription tier, no usage tracking

Use Cases

  • Commute listening — paste a long article or upload a document before leaving, then listen hands-free during travel
  • Proofreading by ear — authors and editors use the read-aloud function to catch awkward phrasing and errors that are easy to miss when reading silently
  • Language learning — hear native pronunciation of words and sentences across dozens of languages using region-specific voices
  • Handling sensitive documents — legal, medical, or personal documents can be listened to without uploading them to any external service
  • Accessibility support — users with dyslexia, ADHD, or visual fatigue benefit from audio rendering of written content without installing dedicated software

Who Is It For

WordCast is well suited to anyone who regularly reads long-form text and prefers listening as an alternative or complement to silent reading. Researchers working through papers, writers editing their own drafts, students reviewing study materials, and language learners practicing pronunciation are all natural users. The privacy-first design makes it a practical choice for professionals handling confidential documents — lawyers, therapists, and medical staff who need to process sensitive text without routing it through third-party cloud services. Because there is no account system and no paywall, it is also accessible to users in environments where cloud-based tools are restricted or where bandwidth is limited.

Tools

list_voices

Return the canonical voice and TTS configuration exposed on the site. (WordCast)

Input: no parameters. Returns: text/markdown.

get_official_links

Return the canonical list of official links for WordCast (website, support, docs when available).

Input: no parameters. Returns: text/markdown.

Resources

  • site://wordcast/voices — Supported voices, languages, and TTS modes.
  • site://wordcast/faq — Short FAQ generated from public site metadata.
  • site://wordcast/links — Canonical URLs to share with users.

Prompts

tell_me_about_wordcast

Summarize what the site is, who it's for, and how it works. — WordCast

read_aloud_demo_wordcast

Plan a read-aloud workflow with the site's voices. — WordCast

Installation

Install via Smithery

bash
npx -y @smithery/cli install wordcast-mcp --client claude

(Replace claude with cursor, windsurf, or continue for those clients.)

Install from source

bash
git clone https://github.com/rocnubie/wordcast-mcp.gitcd wordcast-mcppnpm install

Then add to your MCP client config (claude_desktop_config.json for Claude Desktop, mcp.json for Cursor / Windsurf / Continue):

json
{  "mcpServers": {    "wordcast-mcp": {      "command": "node",      "args": [        "/absolute/path/to/wordcast-mcp/src/index.mjs"      ]    }  }}

Debug with MCP Inspector

bash
npx @modelcontextprotocol/inspector node src/index.mjs

Official Links

Development

bash
pnpm installpnpm start                 # run the server over stdio

License

MIT

来源:README.md,提交 a203200

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

1
  1. v0.1.0最新Sep 16, 2026

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