How do I install the SDK?
Use npm, yarn, or pnpm: `npm install agentset`, `yarn add agentset`, or `pnpm add agentset`.
@agentset-ai
基本情報
概要はまだありません
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": {
"agentset": {
"command": "npx",
"args": [
"-y",
"@agentset/mcp@latest"
],
"env": {
"AGENTSET_API_KEY": "agentset_xxx",
"AGENTSET_NAMESPACE_ID": "ns_xxx"
}
}
}
}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。
Agentset is a TypeScript SDK for the Agentset platform, an agentic RAG-as-a-service. It provides programmatic access to create and manage knowledge bases, ingest content, and perform semantic search.
Install the npm package (npm install agentset, yarn add agentset, or pnpm add agentset), then import the Agentset class, initialize it with an API key, and use methods like namespaces.create(), ns.ingestion.create(), and ns.search().
NotFoundError, UnauthorizedError)Use npm, yarn, or pnpm: `npm install agentset`, `yarn add agentset`, or `pnpm add agentset`.
Import `Agentset` and create an instance with your API key: `new Agentset({ apiKey: "your_api_key_here" })`.
The SDK is a TypeScript package meant for Node.js environments (npm‑based projects).
The SDK throws typed errors such as `NotFoundError` and `UnauthorizedError`, which you can catch with `instanceof` checks.
Yes, pass a `fetcher` option (e.g., `node-fetch`) when initializing the `Agentset` client.

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