# prom-evidence-mcp

> prom-evidence-mcp — elizabethpammi-prom-evidence-mcp. Use this tool when you need to query production telemetry data with transparency and reliability, as it provides detailed receipts including exact PromQL, timing, and series count, while also warning about empty, high-cardinality, or unreliable data. It solves problems of data uncertainty and inefficiency by giving AI agents precise control over Prometheus data queries. Ideal for use cases requiring accurate and trustworthy telemetry data analysis.

Canonical page: https://skillsregistry.net/skills/elizabethpammi-prom-evidence-mcp  
JSON: https://api.skillsregistry.net/v1/skills/elizabethpammi-prom-evidence-mcp

## Description

An evidence-first Prometheus MCP server that lets AI agents query production telemetry with detailed receipts including exact PromQL, timing, series count, and explicit warnings for empty, high-cardinality, or unreliable data.

## 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:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/arhtbmadqk)
- **Repository:** <https://github.com/elizabethpammi/prom-evidence-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": "elizabethpammi-prom-evidence-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/elizabethpammi-prom-evidence-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/elizabethpammi-prom-evidence-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