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
基本信息
93 agentic MCP tools + 49 specialist agents for every major AI CLI. Self-learning, no API keys.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"veto": {
"command": "npx",
"args": [
"-y",
"--package",
"@jigyasudham/veto",
"veto-server"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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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