Protobuf To JSON Schema TranspilerをAIに接続

最速日

548ms

最遅日

778ms

14日間の傾向

改善傾向-7%

Protobuf Transpiler Connector

準備完了です。MCPクライアントを選択し、セットアップ手順に従ってください。

コネクタリンクhttps://edge.vinkius.com/vk_preview_7dnrcuz0LPPvPYYZAaz25jYhoif3jh6jz1pYKY9D/mcpコピー

Claude Desktop

以下の手順で数秒で接続できます。

1. 1In Claude Desktop, open Settings → Connectors.
2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
3. 3Click Add and start a new chat — Protobuf Transpiler capabilities are ready to use.

設定 · claude_desktop_config.jsonコピー

{
  "mcpServers": {
    "protobuf-to-json-schema-transpiler-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_7dnrcuz0LPPvPYYZAaz25jYhoif3jh6jz1pYKY9D/mcp"
    }
  }
}

• Claude
• ChatGPT
• Cursor
• VS Code
• Windsurf
• Claude Code
• JetBrains
• Cline

各クライアントの手順ガイドはこちらです。 接続方法

Claude向けのガイド付きセットアップ？ Protobuf TranspilerをClaudeや他のAIに設定する

このConnectorが対応するすべてのAIクライアントを見る ↑

• 01

  バックエンドエンジニア

  ProtobufスキーマをAIが理解しやすいJSON形式に変換して活用します。

• 02

  AI/LLM開発者

  GRPCベースのデータ構造をAIエージェントの入力検証に利用します。

• 03

  QA/テストエンジニア

  スキーマの構造を素早く解析し、データの妥当性を検証します。

• 01

  Do I need to install a Protobuf compiler?

  No. This MCP handles the transpilation directly, so you don't need a full compiler environment to work with your schemas.

• 02

  Which AI clients can use this MCP?

  You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

• 03

  How does it handle repeated fields?

  The transpiler maps Protobuf repeated fields to standard JSON arrays.

• 04

  Can it detect nested messages?

  Yes, you can use the scan capability to identify nested message structures and other complex elements.

• 05

  Is the conversion deterministic?

  Yes, the transpiler provides deterministic conversion from .proto definitions to JSON Schema objects.

• 06

  What does the transpile_proto_to_json_schema capability do?

  It takes a raw Protobuf string and converts it into a functional JSON Schema, identifying messages, fields, and types.

• 07

  Can I check for repeated fields in my schema?

  Yes, you can use the scan_for_complex_elements capability to detect if your schema contains repeated fields or nested structures.

• 08

  How can I get a quick overview of my message definitions?

  Use the summarize_message_definitions capability to retrieve a list of all identified message names and the total field count.

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