WordCast MCP

io.github.rocnubiePublished by GitHub account rocnubiev0.1.0Updated Oct 24, 2026

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

VerifiedSTDIODesktop onlyKnowledge & MemoryMedia & Design

Overview

AI-generated overview

A local, read-only MCP server that gives an assistant WordCast's voice, TTS, FAQ and official-link information.

What you can do
List the canonical voice and text-to-speech configuration exposed by WordCast, with no parameters and markdown output. Retrieve the canonical list of official WordCast links, such as website, support and docs. Read bundled resources covering supported voices, languages and TTS modes, a short FAQ, and canonical URLs. Use built-in prompts to summarize what WordCast is and to plan a read-aloud workflow with its voices.
When to use it
Useful when an assistant needs accurate, canonical facts about WordCast — its voices, languages, FAQ or official links — for example to answer user questions or draft a read-aloud plan. It does not perform speech synthesis itself.
Requirements
Runs as a local process over stdio; the README shows installing via Smithery or cloning the source and running it with Node.js (pnpm install, node src/index.mjs). No API keys, accounts or environment variables are declared.
Before you install
Read-only and no credentials requested, but the content is limited to WordCast's own public site metadata; treat the returned links and voice details as informational rather than authoritative for other tools.

Installation

In SourceWeft

  1. Open WordCast MCP in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

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

Source: README.md at commit a203200

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.0LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts