What runtime dependencies does PI API MCP Server require?
Node.js is required for npm/npx installation. Docker is recommended for containerized setups.
@mingzilla
基本信息
MCP (Model Context Protocol) Server for the PI API
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"pi-api-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@mingzilla/pi-api-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。
A Model Context Protocol (MCP) server that provides standardized tools and resources for interacting with the PI Dashboard API. It enables Claude and other MCP-compatible AI assistants to securely access and manage PI Dashboard resources, including categories and charts.
Install via Smithery, Docker, npm, or local build. Configure the MCP client (e.g., Claude for Desktop) with the provided JSON configuration, specifying the API URL and optional auth token. Use the available tools and prompts to authenticate, list/analyze categories and charts, and export chart data.
Node.js is required for npm/npx installation. Docker is recommended for containerized setups.
You can set the API URL via the `--api-url` command-line argument at initialization, or use the `set-api-url` tool after starting the server.
The server supports token-based authentication (using `keep-session-alive`) and username/password authentication (via `authenticate-with-credentials` as a last resort).
Yes. Use the `get-filterable-attributes` tool to discover available filters, then apply them when listing charts or categories.
The server acts as a proxy to your PI Dashboard API instance. No data is stored by the server itself—all data stays on the PI Dashboard backend.

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