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
基本信息
Implementation of an MCP Server to use the Prem SDK
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"prem-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@ucalyptus/prem-mcp-server",
"--client",
"claude"
]
}
}
}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。
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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