{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_5ejsybqvc7ex","handle":"iflow-mcp-karaage0703-transcriber-mcp","url":"https://wellknown.network/agents/iflow-mcp-karaage0703-transcriber-mcp","links":{"self":"https://wellknown.network/agents/iflow-mcp-karaage0703-transcriber-mcp/record.json","html":"https://wellknown.network/agents/iflow-mcp-karaage0703-transcriber-mcp","markdown":"https://wellknown.network/agents/iflow-mcp-karaage0703-transcriber-mcp/record.md","api":"https://wellknown.network/api/v1/agents/iflow-mcp-karaage0703-transcriber-mcp","status":"https://wellknown.network/api/v1/agents/iflow-mcp-karaage0703-transcriber-mcp/status","claim":"https://wellknown.network/agents/iflow-mcp-karaage0703-transcriber-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/iflow-mcp-karaage0703-transcriber-mcp/claim.json","badge":"https://wellknown.network/agents/iflow-mcp-karaage0703-transcriber-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/iflow-mcp-karaage0703-transcriber-mcp/history","tools":"https://wellknown.network/api/v1/agents/iflow-mcp-karaage0703-transcriber-mcp/tools"},"ard":{"identifier":"urn:air::server:iflow-mcp-karaage0703-transcriber-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_karaage0703-transcriber-mcp","summary":"A MCP server for transcribing audio and video files to text","description":"# Transcriber MCP\n\n音声・動画ファイルをテキストに変換するMCP（Model Context Protocol）準拠のサーバー「Transcriber MCP」です。faster-whisperを利用し、CPU環境で動作する軽量かつ実用的な文字起こしサーバーを提供します。\n\n## 機能\n\n- MCPプロトコルに準拠したサーバーの実装\n- 音声・動画ファイル（mp3, mp4, wav, mov, avi）を受け取り、文字起こしを実施\n- 結果をテキストファイル形式で出力\n- MCPクライアントとの通信インターフェースを提供\n\n## インストール方法\n\n### 必要条件\n\n- Python 3.8以上\n- faster-whisper\n- ffmpeg（音声・動画ファイル処理用）\n\n### インストール手順\n\n1. リポジトリをクローン\n\n```bash\ngit clone https://github.com/yourusername/transcriber-mcp.git\ncd transcriber-mcp\n```\n\n2. 仮想環境の作成と依存パッケージのインストール\n\n```bash\n# uvを使用して仮想環境を作成\nuv venv\n\n# 依存パッケージをインストール\nuv pip install -r requirements.txt\n```\n\n## 使用方法\n\n### サーバーの起動\n\n```bash\n# uvを使用してサーバーを起動\nuv run -m src.main\n```\n\n### クライアント例を使用した動作確認\n\n```bash\n# テスト用の音声ファイルを作成\nuv pip install gtts\nuv run -c \"from gtts import gTTS; tts = gTTS('これはテスト用の音声ファイルです。文字起こしが正しく機能するかを確認します。', lang='ja'); tts.save('test_audio.mp3')\"\n\n# 文字起こしを実行\nuv run -m src.client_example test_audio.mp3\n```\n\n### MCPクライアントからの利用\n\nMCPプロトコルに準拠したクライアントから以下のようにリクエストを送信します：\n\n```json\n{\n  \"jsonrpc\": \"2.0\",\n  \"id\": 1,\n  \"method\": \"transcribe\",\n  \"params\": {\n    \"file_path\": \"/path/to/your/audio_or_video_file.mp3\"\n  }\n}\n```\n\n### レスポンス例\n\n```json\n{\n  \"jsonrpc\": \"2.0\",\n  \"id\": 1,\n  \"result\": {\n    \"result\": \"/path/to/output/audio_or_video_file_transcribed.txt\"\n  }\n}\n```\n\n## Clineでの設定方法\n\nClineと連携して使用することで、LLMとの対話を通じて文字起こしを実行できます。\n\n### Clineの設定\n\nClineの設定ファイル（通常は`~/.config/cline/settings/mcp_settings.json`）に以下の設定を追加します：\n\n```json\n{\n  \"transcribe\": {\n    \"command\": \"uv\",\n    \"args\": [\n      \"run\",\n      \"--directory\",\n      \"/path/to/transcriber-mcp\",\n      \"python\",\n      \"-m\",\n      \"src.main\",\n      \"--model-size=base\"\n    ]\n  }\n}\n```\n\n※ `--directory`のパスは実際の環境に合わせて変更してください。\n\n※ `--model-size`は \"tiny, \"base\", \"small\", \"medium\", \"large\" から選択できます。\n\n## サポートするファイル形式\n\n- 音声ファイル: mp3, wav\n- 動画ファイル: mp4, mov, avi\n\n## モデルサイズの変更\n\n文字起こしの精度を向上させるために、モデルサイズを変更することができます。\n\n```python\n# src/transcriber.py を編集\nself.model_size = \"medium\"  # tiny, base, small, medium, large から選択\n```\n\nより大きなモデルを使用すると精度が向上…","publisher":{"name":"Transcriber MCP Team","url":null},"homepage":null,"repository":null,"version":"0.1.0","license":null,"protocols":["mcp"],"tags":["mcp"],"pricing":null,"endpoints":[{"url":"pypi:iflow-mcp_karaage0703-transcriber-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","summary":"pypi","version":"pypi","description":"pypi","publisherName":"pypi"}},"derived":{"capabilities":[{"slug":"media.speech-recognition","name":"Speech Recognition","confidence":0.836,"provenance":"derived"},{"slug":"dev.filesystem","name":"Filesystem","confidence":0.802,"provenance":"derived"},{"slug":"dev.version-control","name":"Version Control","confidence":0.745,"provenance":"derived"}],"categories":["dev","media"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_karaage0703-transcriber-mcp","registry":"pypi","observedAt":"2026-09-15T18:22:05.178Z","publishedAt":"2026-02-13T19:57:42.242412Z","latestVersion":"0.1.0"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_karaage0703-transcriber-mcp","url":"https://pypi.org/project/iflow-mcp_karaage0703-transcriber-mcp/","firstSeenAt":"2026-09-09T19:24:27.525Z","fetchedAt":"2026-09-15T18:20:56.829Z","normalizedAt":"2026-09-15T18:20:56.829Z"}]},"firstSeenAt":"2026-09-09T19:24:27.525Z","updatedAt":"2026-09-15T18:22:05.178Z"}