# observe-instrument-mcp

> Use this tool when you need to automatically add observability to Python AI agents, enabling seamless tracing, metrics, and logging with OpenTelemetry. It solves the problem of manual instrumentation effort, providing zero-touch integration with the ioa-observe-sdk. Ideal for use cases requiring enhanced visibility and monitoring of AI agent performance, taking Python agents as input and outputting OpenTelemetry-compatible telemetry data.

Canonical page: https://skillsregistry.net/skills/alanzha2-observe-instrument-mcp  
JSON: https://api.skillsregistry.net/v1/skills/alanzha2-observe-instrument-mcp

## Description

An MCP server that automatically instruments Python AI agents with the ioa-observe-sdk, adding OpenTelemetry-based tracing, metrics, and logs with zero manual effort.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/l7a1mxbhfk)
- **Repository:** <https://github.com/alanzha2/observe-instrument-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": "alanzha2-observe-instrument-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alanzha2-observe-instrument-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alanzha2-observe-instrument-mcp/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