mocovoice-mcp-server: Instructions file for Claude Code

CLAUDE.md

mocovoice-mcp-server CLAUDE.md is an instructions file for Claude Code from mocomoco-inc/mocovoice-mcp-server. It costs 552 tokens per session, scanned A, original, MIT.

Instructions for an MCP server that lets Claude Desktop use mocoVoice, a Japanese audio and video transcription service. It describes the server's Python components and its six transcription-related tools.

In plain words
What is it for?
Use it when changing file discovery, supported formats, transcription job submission, status checks, result retrieval, or the server's API and validation code.
Why use it?
It gives the coding agent the project's structure, validation rules, file handling, and API responsibilities in one place. This helps changes fit the existing server design.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md; mentions Claude Code.

This is mocomoco-inc/mocovoice-mcp-server's own configuration. It tells Claude Code how to work on mocovoice-mcp-server itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything mocovoice-mcp-server configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mocomoco-inc/mocovoice-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mocomoco-inc/mocovoice-mcp-server/main/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/mocomoco-inc/mocovoice-mcp-server

Made for: Claude Code.

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Per session 552 This file is loaded in full into every session.
When invoked 552 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00552 $0.00552
Opus 5 $0.00276 $0.00276
Sonnet 5 $0.00110 $0.00110
Haiku 4.5 $0.00055 $0.00055

Measured 9d ago against content hash 88bf71c62eff, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

mocovoice-mcp-server CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

This is a Model Context Protocol (MCP) server for mocoVoice, a Japanese transcription service. The server enables Claude Desktop to interact with the mocoVoice API for audio/video transcription tasks.

Architecture

The codebase follows a modular structure:

  • server.py: Main MCP server using FastMCP framework with 6 tools for transcription operations
  • api.py: HTTP client wrapper with error handling and timeout management
  • constant.py: Configuration constants including API endpoints, file format mappings, and error codes
  • utils.py: Utility functions for validation, path checking, UUID validation, and data extraction

Key Components

MCP Tools

The server exposes 6 tools:

  • SHOW_USAGE: Display functionality overview
  • SHOW_AVAILABLE_FORMATS: List supported audio/video formats
  • SHOW_AVAILABLE_FILES: Scan allowed directory for processable files
  • START_TRANSCRIPTION_JOB: Upload and start transcription job
  • SHOW_TRANSCRIPTION_RESULT: Retrieve completed transcription
  • CHECK_TRANSCRIPTION_STATUSES: List transcription history

Environment Configuration

  • MOCOVOICE_API_KEY: Required API key with READ/WRITE permissions
  • MOCOVOICE_API_URL: API endpoint (defaults to https://api.mocomoco.ai/api/v1)
  • ALLOWED_DIR: Directory path for accessible files (defaults to /workspace)

File Handling

  • Max file size: 3GB
  • Supported formats defined in SUPPORT_MEDIA_CONTENT_TYPES
  • Path validation ensures files are within allowed directory

Development Commands

Build

docker build . -t mocovoice-mcp-server

Formatting

uv run ruff format

Linting

uv run ruff check .

Testing

uv run pytest

Dependencies

  • httpx: Async HTTP client for API calls
  • mcp[cli]: Model Context Protocol framework
  • pytest: Testing framework
  • ruff: Code formatting and linting

Read the full file on GitHub · 80 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 80 lines · 552 tokens per session scan A 88bf71c62eff

Subscribe to this mod's changes

mocovoice-mcp-server CLAUDE.md is an instructions file published in the GitHub repository mocomoco-inc/mocovoice-mcp-server (3 stars, last pushed 3mo ago), licensed MIT. It adds 552 tokens to every session, about $0.0028 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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