# Gigapipe

> Use this tool when you need to unify access to observability data, such as metrics, logs, and traces, and query them through a single interface. It solves problems related to monitoring distributed systems, SRE workflows, and automated troubleshooting by providing a unified API for querying Prometheus metrics, Loki logs, and Tempo traces. It accepts queries with time ranges, step intervals, and configurable limits, and returns data in formats like JSON, making it ideal for DevOps teams and automated workflows.

Canonical page: https://skillsregistry.net/skills/gigapipe  
JSON: https://api.skillsregistry.net/v1/skills/gigapipe

## Description

This MCP server provides unified access to Gigapipe's observability platform, enabling AI assistants to query Prometheus metrics with PromQL, search Loki logs with LogQL, and retrieve Tempo traces by ID through a single interface. Built in Go using the mcp-go library, it connects to Gigapipe instances via HTTP/HTTPS with optional basic authentication, offering tools for metric queries with time ranges and step intervals, log searches with configurable limits, trace retrieval in JSON format, and label/tag discovery across all three data sources. The implementation includes cross-platform binary releases for Linux, macOS, and Windows, making it valuable for DevOps teams monitoring distributed systems, SRE workflows requiring correlation between metrics, logs, and traces, and automated troubleshooting scenarios that need to query multiple observability data types through a unified API.

## 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/gigapipe)
- **Repository:** <https://github.com/gigapipehq/gigapipe-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": "gigapipe"
    }
  }
}
```

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