# mcp-metricflow

> Use this tool when you need to interact with MetricFlow using natural language queries, enabling you to retrieve metrics, list dimensions, and perform other operations. It provides a convenient interface through both Server-Sent Events (SSE) and Standard Input/Output (STDIO) interfaces. Ideal for use cases where users require a straightforward and intuitive way to query and analyze metrics.

Canonical page: https://skillsregistry.net/skills/datnguye-mcp-metricflow  
JSON: https://api.skillsregistry.net/v1/skills/datnguye-mcp-metricflow

## Description

A Model Context Protocol (MCP) server that provides MetricFlow CLI tools through both SSE and STDIO interfaces, enabling users to query metrics, list dimensions, and perform other MetricFlow operations via natural language.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tfz5plblv3)
- **Repository:** <https://github.com/datnguye/mcp-metricflow>

## 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": "datnguye-mcp-metricflow"
    }
  }
}
```

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