What are the runtime requirements?
Node.js v16 or higher, a Prem AI account with a valid API key, and a Prem project ID.
@ucalyptus
基本情報
Implementation of an MCP Server to use the Prem SDK
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": {
"prem-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@ucalyptus/prem-mcp-server",
"--client",
"claude"
]
}
}
}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。
Prem MCP Server is a Model Context Protocol (MCP) server implementation for Prem AI, enabling seamless integration with Claude and other MCP‑compatible clients. It provides access to Prem AI’s chat completions, RAG, document management, and template features through the MCP interface.
Install the server via npm, yarn, or pnpm, then set the PREM_API_KEY and PREM_PROJECT_ID environment variables. Configure the server in your client’s MCP settings (e.g., claude_desktop_config.json) with the command npx prem-mcp-server --stdio. Start the server by running npx prem-mcp-server.
.txt, .pdf, or .docx files for later retrievalNode.js v16 or higher, a Prem AI account with a valid API key, and a Prem project ID.
Run `npx prem-mcp-server` in your terminal. For Smithery installation, use `npx -y @smithery/cli install @ucalyptus/prem-mcp-server --client claude`.
The server communicates over stdio (via the `--stdio` flag) and authenticates using the `PREM_API_KEY` environment variable.
Only `.txt`, `.pdf`, and `.docx` files are supported for uploading to Prem AI repositories.
All data, including chat history and uploaded documents, is stored on the Prem AI platform. The server itself does not persist any data locally.
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