Do I need an API key to use Veto?
On a subscription no extra token cost and no API key is needed. On pay-per-token billing, Veto detects API keys and warns you about optional LLM call usage.
@jigyasudham
基本情報
93 agentic MCP tools + 49 specialist agents for every major AI CLI. Self-learning, no API keys.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"veto": {
"command": "npx",
"args": [
"-y",
"--package",
"@jigyasudham/veto",
"veto-server"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Veto is a local MCP server that gives every major AI CLI — Claude Code, Codex, Gemini, Cursor, Windsurf, Zed, JetBrains — a shared layer of 93 agentic tools and 49 specialist agents. It’s designed for developers and teams who want deterministic, guardrailed tooling across multiple AI assistants.
Install via npx @jigyasudham/veto init. On a subscription there is no extra token cost and no API key required; on pay-per-token billing, optional LLM calls count toward usage and Veto warns you if it detects an API key.
On a subscription no extra token cost and no API key is needed. On pay-per-token billing, Veto detects API keys and warns you about optional LLM call usage.
No. Agents run as real expert modules (OWASP/CWE rules, AST secret detection, complexity metrics) at zero token cost. They optionally upgrade to LLM reasoning only when your client supports it.
You can save a session in one tool (e.g., Claude Code) and resume it in another supported tool (e.g., Cursor) with full context intact.
Yes, Veto is MIT licensed and available on npm and the official MCP registry (`io.github.jigyasudham/veto`).
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