# sifflet-mcp

> Use this tool when you need to enable data observability operations and gain insights into your assets, monitors, and incidents. It solves problems related to data exploration, monitoring, and impact analysis, and accepts inputs such as descriptions to generate monitor-as-code YAML outputs. Ideal for use cases where data visibility and control are crucial, such as in data-driven decision making and incident management.

Canonical page: https://skillsregistry.net/skills/siffletdata-sifflet-mcp  
JSON: https://api.skillsregistry.net/v1/skills/siffletdata-sifflet-mcp

## Description

Enables data observability operations with the Sifflet platform. Supports exploring assets, monitors, incidents, generating monitor-as-code YAML from descriptions, and performing impact analysis.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/pqii00hct7)
- **Repository:** <https://github.com/siffletdata/sifflet-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": "siffletdata-sifflet-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/siffletdata-sifflet-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/siffletdata-sifflet-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