AI Tools

The GASP Standard ships as an MCP server — so your AI tools speak the same metrics language your team does. Whether you're a data engineer building pipelines, an analyst setting up dashboards, or a team lead standardizing your metrics layer, the MCP gives you definitions, formulas, data schemas, and SQL on demand.

Quick Start

Install the MCP server with a single command:

Claude Code

claude mcp add gasp-standard -- npx -y gasp-standard-mcp

Claude Desktop / Cursor

Add to your MCP config file:

{
  "mcpServers": {
    "gasp-standard": {
      "command": "npx",
      "args": ["-y", "gasp-standard-mcp"]
    }
  }
}

Restart your MCP client after adding the config.

Claude Code Slash Command

The /gasp command turns Claude into a GASP Standard expert. Ask any question about SaaS metrics and get precise answers sourced directly from the canonical standard files.

What it does

Look up any of the nearly 300 metric definitions across 13 departments
Return exact formulas, benchmark ranges, and measurement periods
Explain metric relationships (what drives what)
Clarify terminology from the canonical definitions glossary
Cross-reference metrics across departments

Example usage

> /gasp What is NRR?
> /gasp How do I calculate CAC Payback?
> /gasp What drives ARR?
> /gasp Compare logo churn vs revenue churn
> /gasp What data do I need to implement pipeline tracking?
> /gasp Show me the SQL for calculating NRR

MCP Server

A Model Context Protocol server exposing the entire standard as structured tools. Any MCP-compatible client (Claude Code, Claude Desktop, or custom integrations) can query metrics, formulas, relationships, and definitions programmatically.

Tools

lookup_metric name: string

Full metric details: definition, formula, benchmarks, common mistakes, sources, and department.

list_metrics department?: string

List all metrics grouped by category, optionally filtered by department.

get_formula metric: string

Returns the formula(s) for a metric, including all variants when multiple exist.

get_relationships metric: string

Upstream (what drives it) and downstream (what it drives) connections from the GASP relationship graph.

get_data_requirements metric?: string, department?: string

Data requirements for implementing a metric or department dashboard: required fields with types, reporting grain, source system, and example SQL query.

search query: string

Full-text search across all metric names, definitions, formulas, data requirements, and glossary terms.

Use Cases

Data Engineer "What fields and types do I need to track NRR?"

Use get_data_requirements to get the exact field schema, types, grain, and starter SQL for any metric or department.

Analyst "How is CAC Payback calculated?"

Use get_formula and lookup_metric to get the canonical formula, benchmark ranges, and common calculation mistakes to avoid.

Team Lead "What metrics should my CS team track?"

Use list_metrics to see every metric for a department, then get_data_requirements to plan the implementation.

Example Output

Here's what get_data_requirements returns for NRR:

## NRR — Data Requirements

Field	Type
account_id	string
mrr_start	decimal
mrr_end	decimal
expansion	decimal
contraction	decimal
churn	decimal

Grain: Monthly cohort Source: Billing + CRM

Example SQL

SELECT

  cohort_month,

  SUM(mrr_end) / SUM(mrr_start) AS nrr

FROM account_cohorts

GROUP BY 1

Data at a glance

299

Metrics

Definitions

Data requirements

Relationship nodes

Relationship edges

GASP Standard v1 · Last updated 2026-02-20