# PI API MCP Server

> Use this tool when you need to securely integrate AI assistants with PI Dashboard resources, enabling them to access and manage categories and charts through the Model Context Protocol. It solves problems of secure data access and management for AI-powered applications, providing a standardized interface for MCP-compatible assistants like Claude. The PI API MCP Server accepts authentication and query inputs, returning relevant data and resources to authorized AI agents.

Canonical page: https://skillsregistry.net/skills/mingzilla-pi-api-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/mingzilla-pi-api-mcp-server

## Description

A Model Context Protocol server that enables Claude and other MCP-compatible AI assistants to securely access and manage PI Dashboard resources including categories and charts.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aa6hdqsegc)
- **Repository:** <https://github.com/mingzilla/pi-api-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "mingzilla-pi-api-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mingzilla-pi-api-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mingzilla-pi-api-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt