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PI API MCP Server

@mingzilla

Repository

About PI API MCP Server

MCP (Model Context Protocol) Server for the PI API

Basic information

Category

Developer Tools

License

Apache-2.0

Runtime

node

Transports

stdio

Publisher

mingzilla

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

FAQ from PI API MCP Server

What runtime dependencies does PI API MCP Server require?

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

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.

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).

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.

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.

Comments

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