# cursor-otel

> Use this tool when you need to monitor and track the performance of AI agents, specifically to instrument interactions and analyze user queries, assistant responses, and tool usage. It provides valuable insights through OpenTelemetry traces and logs, enabling the optimization of agent turns and overall system performance. Ideal for use cases requiring GenAI-compliant telemetry spans and detailed analytics of AI agent interactions.

Canonical page: https://skillsregistry.net/skills/smith-cursor-otel  
JSON: https://api.skillsregistry.net/v1/skills/smith-cursor-otel

## Description

An MCP server that instruments Cursor AI agent interactions with OpenTelemetry traces and logs to monitor agent turns and performance. It enables tracking of user queries, assistant responses, and tool usage through GenAI-compliant telemetry spans.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fkjrcw19c3)
- **Repository:** <https://github.com/smith/cursor-otel>

## 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": "smith-cursor-otel"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/smith-cursor-otel` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/smith-cursor-otel/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