How do I install the SDK?
Use npm, yarn, or pnpm: `npm install agentset`, `yarn add agentset`, or `pnpm add agentset`.
A
Agentset MCP Server
@agentset-ai
基本信息
关于 Agentset MCP Server
暂无概览
Agentset MCP Server 配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"agentset": {
"command": "npx",
"args": [
"-y",
"@agentset/mcp@latest"
],
"env": {
"AGENTSET_API_KEY": "agentset_xxx",
"AGENTSET_NAMESPACE_ID": "ns_xxx"
}
}
}
}Agentset MCP Server 工具
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。
概览
What is Agentset?
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.
How to use Agentset?
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().
Key features of Agentset
- Create and manage namespaces (knowledge bases)
- Ingest text content into a namespace
- Search across ingested content
- Typed error handling (
NotFoundError,UnauthorizedError) - Custom fetch implementation support
Use cases of Agentset
- Build a question‑answering system over proprietary documents
- Create a searchable knowledge base for customer support
- Enable agentic RAG pipelines with custom embedding models
- Manage multiple isolated knowledge bases within one project
常见问题
How do I initialize the client?
Import `Agentset` and create an instance with your API key: `new Agentset({ apiKey: "your_api_key_here" })`.
What runtime is required?
The SDK is a TypeScript package meant for Node.js environments (npm‑based projects).
How are errors handled?
The SDK throws typed errors such as `NotFoundError` and `UnauthorizedError`, which you can catch with `instanceof` checks.
Can I provide a custom fetch implementation?
Yes, pass a `fetcher` option (e.g., `node-fetch`) when initializing the `Agentset` client.
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