# Claude Stats MCP

> Use this tool when you need to analyze and track usage statistics for Claude Code, and generate reports to inform data-driven decisions. It solves problems related to understanding user behavior, identifying trends, and detecting anomalies through natural language queries. The tool takes in natural language inputs and outputs detailed statistical analysis and usage reports.

Canonical page: https://skillsregistry.net/skills/upjiang-ai-mcp-study  
JSON: https://api.skillsregistry.net/v1/skills/upjiang-ai-mcp-study

## Description

Provides statistical analysis and usage tracking for Claude Code, enabling users to query daily/monthly stats, compare users, analyze trends, detect anomalies, and generate usage reports through natural language.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ggieil3jy1)
- **Repository:** <https://github.com/upJiang/ai-mcp-study>

## 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": "upjiang-ai-mcp-study"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/upjiang-ai-mcp-study` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/upjiang-ai-mcp-study/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