name: norm-mcp
transport: stdio
tools:
- name: check_baseline
description: Check if a value is within normal statistical baselines
input_schema:
type: object
required: [category, value]
properties:
category:
type: string
description: Baseline category (e.g. salary:software_engineer, expense:cloud_hosting)
value:
type: number
description: Numeric value to check
unit:
type: string
description: Unit of measurement (e.g. USD, hours)
region:
type: string
description: Geographic region (e.g. US, EU, global)
company_size:
type: string
description: Company size segment (e.g. startup, mid-market, enterprise)
output_schema:
type: object
properties:
data:
type: object
properties:
category:
type: string
value:
type: number
percentile:
type: number
deviation:
type: number
flagged:
type: boolean
baseline:
type: object
properties:
mean:
type: number
median:
type: number
p10:
type: number
p90:
type: number
summary:
type: string
- name: batch_check
description: Check multiple values against baselines (max 100)
input_schema:
type: object
required: [items]
properties:
items:
type: array
minItems: 1
maxItems: 100
items:
type: object
required: [category, value]
properties:
category:
type: string
value:
type: number
unit:
type: string
region:
type: string
company_size:
type: string
output_schema:
type: object
properties:
data:
type: object
properties:
results:
type: array
summary:
type: object
properties:
total:
type: integer
flagged:
type: integer
normal:
type: integer
- name: list_categories
description: List all baseline categories grouped by domain (free)
input_schema: {}
output_schema:
type: object
properties:
data:
type: object
properties:
categories:
type: array
items:
type: object
properties:
domain:
type: string
categories:
type: array
items:
type: string
total:
type: integer
configuration:
env:
NORM_API_URL: "https://norm.agentutil.net"
Back to servers
MCP server — statistical baselines for autonomous AI agents to detect anomalies
npm42/wk
Quick Install
npx -y @agentutil/norm-mcpReviews
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