# observability-mcp

> observability-mcp — blue-sky-exist-observability-mcp. Use this tool when you need to query and analyze observability data from multiple sources, such as logs, traces, and metrics, to gain insights and enable AI models to make informed decisions. It solves problems related to data silos and limited visibility across environments, providing a unified interface to Elasticsearch, SkyWalking, and Prometheus/VictoriaMetrics. By using observability-mcp, you can input queries and receive outputs in a standardized format, making it ideal for use cases that require cross-environment monitoring and analytics.

Canonical page: https://skillsregistry.net/skills/blue-sky-exist-observability-mcp  
JSON: https://api.skillsregistry.net/v1/skills/blue-sky-exist-observability-mcp

## Description

MCP server for querying observability data from Elasticsearch, SkyWalking, and Prometheus/VictoriaMetrics, enabling AI models to search logs, traces, and metrics across environments.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pw5z2wnei5)
- **Repository:** <https://github.com/blue-sky-exist/observability-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": "blue-sky-exist-observability-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/blue-sky-exist-observability-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/blue-sky-exist-observability-mcp/pull`

---
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