# Laravel Telescope

> Use this tool when you need to inspect and analyze application telemetry data, such as logs, slow queries, and exceptions, through a conversational AI interface. It solves problems of manual data inspection and provides quick insights into application metrics, allowing developers to retrieve Telescope records using natural-language queries. Ideal for use in coding environments where rapid debugging and optimization are required.

Canonical page: https://skillsregistry.net/skills/lucianotonet-laravel-telescope  
JSON: https://api.skillsregistry.net/v1/skills/lucianotonet-laravel-telescope

## Description

Laravel Telescope MCP extends Laravel Telescope by exposing application telemetry data via the Model Context Protocol to AI assistants like Cursor, Claude, and Copilot Chat. Developed by Luciano Tonet under the MIT license, it translates natural-language queries into operations that retrieve Telescope records, enabling developers to inspect logs, slow queries, HTTP requests, exceptions, jobs, and more through an AI interface. The implementation includes tools for accessing all Telescope features, supports customizable authentication through middleware, and is particularly valuable for developers who need quick insights into application metrics without leaving their coding environment.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/lucianotonet-laravel-telescope)
- **Repository:** <https://github.com/lucianotonet/laravel-telescope-mcp>

## 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": "lucianotonet-laravel-telescope"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lucianotonet-laravel-telescope` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lucianotonet-laravel-telescope/pull`

---
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