ZBS Index What actually exists in applied AI, with the source next to it

mcp server

ShearQuery — Barber & Beauty Industry Data

Barber & cosmetology exam pass rates, booth rent with open chairs, and Texas licensee counts

Description as published by the maintainer. Source

  • version 0.1.0
  • active

active — Most recent push to the repository was 2026-08-06.

What this server can do

3 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

compare_barber_cosmetology_schools(city, limit, license)
Rank barber or cosmetology schools by real 2026 state licensing exam outcomes — written and practical pass rates, first-attempt rate, average attempts to pass, students tested, and tuition. Optionally filter to one city. This data is not published by Google, school websites, or review sites. Schools with fewer than 5 recorded test-takers are excluded because a percentage from a handful of students is not meaningful. Required: license.
compare_barbershops_salons(city, type, limit, state, open_chairs_only, verified_rent_only)
Find barbershops and salons ranked by weekly booth rent, with chairs available, Google rating, review count and hiring status. Answers what a chair costs in a given city and which shops have one free. Booth rent is quoted directly by shops rather than scraped, so coverage is partial — the response states how many listings actually publish a rate.
texas_licensee_counts(license_type, expiring_before)
Count active Texas licensees from the TDLR public record by licence type, optionally limited to those whose licence expires before a given date. Answers how many people a rule change, CE requirement or fee change actually affects — the number is not published anywhere in this form.

Last successful function declaration observed on . Source: https://agency.innergcomplete.com/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://agency.innergcomplete.com/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 0 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-08-06 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 3 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 0.1.0 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-08-02 When the registry record was last updated by its maintainer. point in time Model Context Protocol
First listed in the MCP Registry 2026-08-02 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 3 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe agency.innergcomplete.com
mcp endpoint status ok The server listed 3 functions when asked. as of probe agency.innergcomplete.com

Where to get it

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. Tools declared by the MCP server at https://agency.innergcomplete.com/mcp — agency.innergcomplete.com, observed , trust tier 1.
  2. lamont703/Project_InnerG_Complete_Agency on GitHub — GitHub, observed , trust tier 3.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.