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Knowledge & Memory (RAG) #官方#TypeScript#远端可用#MIT

Ask Refined Element MCP Server

Enables AI agents to search, browse, and read a field-tested Xperience by Kentico knowledge pack, fetch checklists and blog articles, request consultations, and access L402-gated premium playbooks via Lightning payment.

Knowledge & Memory (RAG) npm 0 platforms 0 features

Install

npx -y ask-refined-element-mcp

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

{
  "mcpServers": {
    "ask-refined-element": {
      "command": "npx",
      "args": [
        "-y",
        "ask-refined-element-mcp"
      ],
      "env": {
        "ASK_RE_BASE_URL": "<ASK_RE_BASE_URL>"
      }
    }
  }
}

Paste the configuration above into your MCP client config (claude_desktop_config.json for Claude Desktop) and restart the client.

Sources: public MCP Server directories. This is an independent third-party directory with no affiliation to or endorsement from the maintainers of the listed servers.

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