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PI API MCP Server

@mingzilla

リポジトリ

基本情報

カテゴリ

開発者ツール

ライセンス

Apache-2.0

トランスポート

stdio

作者

mingzilla

PI API MCP Server について

MCP (Model Context Protocol) Server for the PI API

PI API 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": {
    "pi-api-mcp-server": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli",
        "install",
        "@mingzilla/pi-api-mcp-server",
        "--client",
        "claude"
      ]
    }
  }
}

PI API MCP Server のツール

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。

概要

What is PI API MCP Server?

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.

How to use PI API MCP Server?

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.

Key features of PI API MCP Server

  • Authenticate and manage sessions with the PI Dashboard API
  • List, get, create, update, and delete categories
  • List, get, delete, and export charts in various formats
  • Filter entities using filterable attributes
  • Analyze categories and charts with built-in prompts
  • Session management tools for token refresh and logout

Use cases of PI API MCP Server

  • Authenticate to the PI Dashboard API and check connection status
  • List and analyze all categories in the dashboard
  • Retrieve and analyze charts, including metadata and JSON data extraction
  • Export specific charts as PDF or other formats
  • Compare data between two charts using analysis prompts

よくある質問

1

What runtime dependencies does PI API MCP Server require?

Node.js is required for npm/npx installation. Docker is recommended for containerized setups.

2

How do I configure the API URL?

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.

3

What authentication methods are supported?

The server supports token-based authentication (using `keep-session-alive`) and username/password authentication (via `authenticate-with-credentials` as a last resort).

4

Can I filter charts and categories?

Yes. Use the `get-filterable-attributes` tool to discover available filters, then apply them when listing charts or categories.

5

Where does my data live?

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.

コメント

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