# Agentry Observability

> Use this tool when you need to monitor and troubleshoot AI coding agent performance in production environments. Agentry Observability solves issues related to error detection, analytics tracking, and deploy attribution, providing a single interface for accessing key data. It takes in production monitoring data and outputs actionable insights, making it ideal for use cases where AI coding agents require optimization and debugging.

Canonical page: https://skillsregistry.net/skills/agentry-observability  
JSON: https://api.skillsregistry.net/v1/skills/agentry-observability

## Description

Agentry Observability provides AI coding agents with direct access to production monitoring data through a single MCP interface. It combines error monitoring (grouped by fingerprint with frequency and affected user counts), queryable analytics events for tracking activation and churn, and deploy attribution that links CI releases to specific failures and behavior changes. Supports Claude Code, Cursor, Codex, Windsurf, and Cline.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-31

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/agentry-observability)
- **Repository:** <https://github.com/fr33dr4g0n/agentry-public/tree/HEAD/packages/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": "agentry-observability"
    }
  }
}
```

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