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Bouyomi-chan MCP Server

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Boyomi-chan MCP Server (Node.js version)

This is a server that uses the Model Context Protocol (MCP) to provide text-to-speech functionality using Bokuyomi-chan (a slow voice) to AI assistants. It is implemented in Node.js/TypeScript.

overview

This server is an MCP server that allows AI assistants such as Claude to use Boyomi-chan.

Related MCP server: MCP Simple AivisSpeech

function

  • Text to speech

  • Select voice type (female, male, etc.)

  • Volume adjustment

  • Adjustable speech speed

  • Pitch Adjustment

Prerequisites

  • Node.js 16 or higher

  • npm 7 or higher

  • Boyomi-chan must be installed.

  • The HTTP link for Boyomi-chan is running on port 50080.

How to install

  1. Clone this repository:

git clone https://github.com/uraoz/bouyomichan-mcp-nodejs.git
cd bouyomichan-mcp-nodejs

  1. Install the dependencies:

npm install

  1. Which compiles:

npm run build

How to use

Starting the Server

npm start

Integration with Claude for Desktop

To work with Claude for Desktop you need to edit the configuration file:

  1. Open the Claude for Desktop configuration file:

    • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json

    • Windows: %APPDATA%\Claude\claude_desktop_config.json

  2. Add the following content (replace the paths with the actual file paths):

{
  "mcpServers": {
    "bouyomi": {
      "command": "node",
      "args": [
        "/絶対パス/bouyomichan-mcp-nodejs/build/index.js"
      ]
    }
  }
}

  1. Restart Claude for Desktop.

Usage Example

Claude for Desktop will read text aloud to you by:

  • Read out "Hello, World"

  • A male voice reads out "This is a test."

  • Speed up and read "I'm in a hurry"

Parameter Description

Parameters

explanation

Default value

Scope

text

Read text

Required

Any text

voice

Audio Type

0 (1 female)

0: Female 1, 1: Male 1, 2: Female 2, ...

volume

volume

-1 (default)

-1: default, 0-100: volume level

speed

speed

-1 (default)

-1: default, 50-200: speed level

tone

Pitch

-1 (default)

-1: default, 50-200: pitch level

license

MIT

Available Tools

1 tool
read_textC

テキストを棒読みちゃんで読み上げます

ParametersJSON Schema
NameRequiredDescriptionDefault

No parameters

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are provided, so the description carries the full burden. It mentions the behavioral trait of using a monotone voice (棒読みちゃん), which adds some context beyond basic functionality. However, it doesn't disclose other important behaviors like whether it requires internet access, has rate limits, handles different languages, or what happens on errors. The description is minimal and lacks comprehensive behavioral details.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence in Japanese that directly states the tool's function. It's front-loaded with the core action and includes a stylistic detail (monotone voice). There's no wasted text, but it could be slightly more informative without losing conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (0 parameters, no output schema, no annotations), the description is somewhat complete but has gaps. It explains what the tool does but lacks details on output format (e.g., audio file, stream), error handling, or performance characteristics. For a text-to-speech tool, more context on behavior and results would be helpful, though the low complexity mitigates this.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has 0 parameters with 100% schema description coverage, so the schema fully documents the inputs. The description doesn't need to add parameter information, and it doesn't contradict the schema. Baseline is 4 for zero parameters, as the description appropriately focuses on functionality rather than inputs.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose3/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states the tool's purpose as 'reading text aloud with a monotone voice' (棒読みちゃん), which is clear but somewhat vague. It specifies the action (read aloud) and the style (monotone), but doesn't distinguish from siblings since none exist. The description isn't tautological but lacks specific details about the resource or output format.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No guidance is provided on when to use this tool versus alternatives. The description implies usage for text-to-speech with a monotone voice, but there's no mention of prerequisites, limitations, or context for when this specific style is appropriate. With no sibling tools, differentiation isn't needed, but general usage context is missing.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool updatev1.0.0
    • First observedread_text
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TDQS

B3.3/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of ambiguity or overlap between tools. The tool 'read_text' has a singular, clear purpose that cannot be confused with any other tool in this set.

Naming Consistency5/5

A single tool inherently exhibits perfect naming consistency, as there are no other tools to compare it against. The name 'read_text' follows a clear verb_noun pattern, which is consistent with itself.

Tool Count2/5

A single tool for a text-to-speech server is too minimal for practical use. While it covers the core functionality, typical MCP servers benefit from additional tools (e.g., for configuration, status checks, or voice control), making this count feel thin and limiting for agent interactions.

Completeness3/5

The tool 'read_text' provides the essential action for a text-to-speech server, but there are notable gaps. Missing operations might include stopping speech, adjusting speed or volume, checking status, or managing voice settings, which could hinder agent workflows in more complex scenarios.

Maintenance

ActivityInactive
ResponsivenessNo issues

Resources

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