# mcpstat

> Use this tool when you need to monitor and track usage of MCP servers, as it provides analytics and audit trails through SQLite-backed persistence, enabling developers to expose tool, prompt, and resource activity statistics to LLM clients. It solves problems related to usage tracking and transparency, offering insights into server activity. Ideal for use cases requiring detailed monitoring and reporting of MCP server interactions.

Canonical page: https://skillsregistry.net/skills/tekkidev-mcpstat  
JSON: https://api.skillsregistry.net/v1/skills/tekkidev-mcpstat

## Description

A Python utility for adding usage tracking, analytics, and audit trails to MCP servers using SQLite-backed persistence. It enables developers to monitor tool, prompt, and resource activity and expose these statistics directly to LLM clients.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rz6x6pu5js)
- **Repository:** <https://github.com/tekkidev/mcpstat>

## 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": "tekkidev-mcpstat"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tekkidev-mcpstat` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tekkidev-mcpstat/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