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Agentset MCP Server

@agentset-ai

代码仓库主页

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

agentset-ai

关于 Agentset MCP Server

Agentset MCP Server - Build RAG with Agentic superpowers

#agentset#mcp-server#api

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

1

Look up information in the Knowledge Base. Use this tool when you need to: - Find relevant documents or information on specific topics - Retrieve company policies, procedures, or guidelines - Access product specifications or technical documentation - Get contextual information to answer company-specific questions - Find historical data or information about projects

概览

What is Agentset MCP?

MCP server for Agentset, an open-source platform for Retrieval-Augmented Generation (RAG). Designed for developers who want to build intelligent, document-based applications quickly and efficiently.

How to use Agentset MCP?

Install and run using npm, yarn, or pnpm with an Agentset API key and namespace ID. Configure it as an MCP server in Claude by adding a JSON entry with AGENTSET_API_KEY and AGENTSET_NAMESPACE_ID environment variables. Optional parameters include custom tool descriptions (-d) and tenant IDs (-t).

Key features of Agentset MCP?

  • Connects to Agentset RAG platform via MCP protocol
  • Requires API key and namespace ID for authentication
  • Supports custom tool descriptions and tenant IDs
  • Runs via npx, yarn dlx, or pnpm dlx

Use cases of Agentset MCP?

  • Build document-based applications with retrieval-augmented generation
  • Integrate RAG capabilities into AI assistants like Claude
  • Create custom RAG workflows with namespace-based data isolation

常见问题

1

What is the Agentset MCP server used for?

It provides an MCP interface to the Agentset RAG platform, allowing AI models to retrieve and generate content from document collections.

2

How do I authenticate with the server?

Set the `AGENTSET_API_KEY` environment variable and either the `AGENTSET_NAMESPACE_ID` variable or the `--ns` flag with your namespace ID. ###

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