WordCast MCP

io.github.rocnubie由 GitHub 帳號 rocnubie 發布v0.1.0更新於 Oct 24, 2026

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

已驗證STDIO僅桌面知識與記憶媒體與設計

概覽

AI 產生的概覽

一個本機唯讀 MCP 伺服器,為助理提供 WordCast 的語音、TTS、常見問題與官方連結資訊。

可以做什麼
列出 WordCast 公開的標準語音與文字轉語音設定,無需參數,回傳 markdown。取得 WordCast 的官方連結清單,例如網站、支援與文件。讀取內建資源,涵蓋支援的語音、語言與 TTS 模式、簡短常見問題以及標準網址。使用內建提示概括 WordCast 是什麼,並規劃以其語音進行的朗讀流程。
適用情境
當助理需要關於 WordCast 的準確標準資訊(語音、語言、常見問題或官方連結)時適用,例如回答使用者提問或草擬朗讀方案。它本身不執行語音合成。
執行需求
以本機程序透過 stdio 執行;README 說明可透過 Smithery 安裝,或複製原始碼後以 Node.js 執行(pnpm install、node src/index.mjs)。未宣告需要 API 金鑰、帳號或環境變數。
安裝前請注意
唯讀且不索取憑證,但內容僅限於 WordCast 自身的公開網站中繼資料;回傳的連結與語音資訊應視為參考資訊,而非其他工具的權威依據。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 WordCast MCP,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

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

來源:README.md,提交 a203200

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

1
  1. v0.1.0最新Sep 16, 2026

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