MCP.so
ログイン

Agentset MCP Server

@agentset-ai

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

agentset-ai

Agentset MCP Server について

Agentset MCP Server - Build RAG with Agentic superpowers

Agentset MCP Server の設定

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"
      }
    }
  }
}

Agentset MCP Server のツール

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

概要

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

よくある質問

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. ###

コメント

「その他」の他のコンテンツ