# OpenTelemetry Collector

> Use this tool when you need to manage and configure OpenTelemetry Collectors for dynamic telemetry component management. It solves problems related to setting up complex telemetry pipelines by providing a structured API for receivers, processors, and exporters, and maintaining a repository of component definitions. The tool takes in configuration inputs and outputs valid OpenTelemetry configurations, making it ideal for DevOps teams and observability engineers.

Canonical page: https://skillsregistry.net/skills/mottibec-otelcol  
JSON: https://api.skillsregistry.net/v1/skills/mottibec-otelcol

## Description

This MCP server implementation provides a configuration interface for OpenTelemetry Collectors, allowing users to dynamically manage telemetry components through the Model Context Protocol. Built with TypeScript, it exposes a structured API for receivers, processors, and exporters with their complete configuration schemas, enabling AI assistants to help users construct valid OpenTelemetry configurations. The server maintains a comprehensive repository of component definitions extracted from the OpenTelemetry Collector Contrib repository, making it particularly valuable for DevOps teams and observability engineers who need assistance setting up complex telemetry pipelines without memorizing the extensive configuration options for each component.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mottibec-otelcol)
- **Repository:** <https://github.com/mottibec/otelcol-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": "mottibec-otelcol"
    }
  }
}
```

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