Skip to content
verify mcp Beta VerifyMCP is currently in beta. If you notice any issues, get in touch and we’ll put it right.

Census (ACS by ZIP)

PYPI · MCPWRIGHT-CENSUS · SCANNED SEP 21

U.S. Census (ACS) data by ZIP: income, demographics, housing, education, from a local store.

Available components

0 this week 59 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security44
  • Malware scan not yet available for this package.Unverified
  • No known CVEs affecting this package version or its production dependencies.Pass
  • Runs a script at install time (build_backend) that we could not recognise. It may be perfectly ordinary, but we do not read the published tarball, so we cannot say what it does. View diagnostics → Partial
  • 0 of 30 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency32
Schema Quality & AI Usability68
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 1589 tokens (~198/item across 8 items; 8 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management83
  • Stability observed for 25 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 0% of tool parameters carry a description.Fail
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 8 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 9 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the Census (ACS by ZIP) MCP server?

Census (ACS by ZIP) runs locally as a PyPI package, launched with uvx mcpwright-census. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · mcpwright-census

# add to Claude Code
claude mcp add mcpwright-census-mcp -- uvx mcpwright-census
// .cursor/mcp.json
{
  "mcpServers": {
    "mcpwright-census-mcp": {
      "command": "uvx",
      "args": [
        "mcpwright-census"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "mcpwright-census-mcp": {
      "command": "uvx",
      "args": [
        "mcpwright-census"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add mcpwright-census-mcp -- uvx mcpwright-census
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "mcpwright-census-mcp": {
      "type": "local",
      "command": [
        "uvx",
        "mcpwright-census"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add mcpwright-census-mcp --command uvx --arg mcpwright-census
# ~/.hermes/config.yaml
mcp_servers:
  mcpwright-census-mcp:
    command: "uvx"
    args: ["mcpwright-census"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "mcpwright-census-mcp": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "mcpwright-census"
      ]
    }
  }
}
# add to Vellum
assistant mcp add mcpwright-census-mcp -t stdio -c uvx -a mcpwright-census
// mcp.json
{
  "mcpServers": {
    "mcpwright-census-mcp": {
      "command": "uvx",
      "args": [
        "mcpwright-census"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 21 Sept 26 −15
    • Malware scan: pass → unverified security
  • 20 Sept 26 +12
    • Malware scan: unverified → pass security
    • Stability: pass → 0.80 functional
  • 19 Sept 26 +1
    • Stability: 0.97 → pass security
  • 17 Sept 26 −14
    • Malware scan: pass → unverified security
  • 16 Sept 26 0
    • Package version: 0.1.2 → 0.1.3 functional
  • 15 Sept 26 +16
    • Malware scan: unverified → pass security
  • 14 Sept 26 −15
    • Malware scan: pass → unverified security
  • 13 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 77 to 80. That category is still filling its 30-day observation window: 23 days of observed history at the previous scan, 24 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 21 Sept 2026 · Analysed pypi/mcpwright-census@0.1.3

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend unreviewed uv_build

Background: Why install scripts are a supply-chain risk →

Dependencies 30 packages
Packages resolved 30
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 8 exposed · ~1,019 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
compare_zips ~154

Rank several ZIPs by a single metric, highest value first. `zips`: a list of 5-digit US ZIPs to compare. `metric`: one of `population`, `median_age`, `median_household_income`, `per_capita_income`, `households_200k_plus_pct`, `median_home_value`, `median_gross_rent`, `owner_occupied_pct`, `bachelors_plus_pct`, `graduate_or_professional_pct`. Returns each ZIP's value, sorted descending; ZIPs with no data (suppressed or no ZCTA) are listed last. All values are ACS 5-year estimates.

NameTypeReqDescription
metricstringyes
zipsarrayyes
NameTypeReqDescription
metricstringyesThe compared metric's name
resultsarrayyesOne entry per requested ZIP, sorted by value descending; ZIPs with no value are listed last
vintageintegeryesACS 5-year data vintage (end year)

No examples provided.

find_zips ~196

Reverse lookup: the ZIPs (ZCTAs) that fall within a named place. `place`: a U.S. place name — an incorporated city/town or a census-designated place (e.g. 'Cambridge', 'West Hollywood'); the Census descriptor is optional ('Cambridge' and 'Cambridge city' both work). `state`: optional 2-letter USPS code or full state name to disambiguate (many places share a name). Returns the ZCTAs intersecting that place, ranked by `coverage_pct` — the share of each ZCTA's land that lies within the place. This is approximate: ZCTAs don't nest inside places, so a ZIP may span several places and vice versa. Built on the public 2020 Census ZCTA-to-Place relationship file (no API key needed).

NameTypeReqDescription
placestringyes
state
NameTypeReqDescription
matchesarrayyesZCTAs intersecting the place, sorted by coverage_pct descending. Empty places (no match) raise an error instead.
querystringyesThe place name searched for
stateThe 2-letter USPS state filter applied, if any
vintageintegeryesCensus geography year of the ZCTA-to-place relationship (2020)

No examples provided.

get_acs_variable ~134

Raw value of a single ACS variable for a ZIP — an escape hatch. `zip_code`: a 5-digit US ZIP. `variable`: an ACS variable code (e.g. `B19013_001E`) or the friendly store-column name (e.g. `median_household_income`); both match case-insensitively. Returns that one value for the ZIP. Limited to the variables held in the local store (the same ones the other tools draw on); an unknown variable errors with the full list.

NameTypeReqDescription
variablestringyes
zip_codestringyes
NameTypeReqDescription
columnstringyesFriendly store-column name, e.g. 'median_household_income'
nameCensus name for the area
valueThe variable's value for this ZIP, or null if missing/suppressed (a string only for the 'name' variable)
variablestringyesACS variable code, e.g. 'B19013_001E'
vintageintegeryesACS 5-year data vintage (end year)
zctastringyes5-digit ZIP Code Tabulation Area

No examples provided.

get_demographics ~87

Population and median age for a ZIP. `zip_code`: a 5-digit US ZIP. Returns the total population and the median age of residents — both ACS 5-year estimates. (Age-bracket breakdowns, e.g. under-18 / 18-34 / 35-64 / 65+, are on the roadmap.)

NameTypeReqDescription
zip_codestringyes
NameTypeReqDescription
median_ageMedian age of the population, in years
nameCensus name for the area
populationTotal population (ACS 5-year estimate)
vintageintegeryesACS 5-year data vintage (end year)
zctastringyes5-digit ZIP Code Tabulation Area

No examples provided.

get_education ~78

Educational attainment for a ZIP: % bachelor's+ and % graduate degree. `zip_code`: a 5-digit US ZIP. Of the population aged 25 and over, returns the percent with a bachelor's degree or higher and the percent with a graduate or professional degree — ACS 5-year estimates.

NameTypeReqDescription
zip_codestringyes
NameTypeReqDescription
bachelors_plus_pctPercent of those 25+ with a bachelor's degree or higher (0-100)
graduate_or_professional_pctPercent of those 25+ with a graduate or professional degree (master's, professional, or doctorate) (0-100)
nameCensus name for the area
population_25_plusPopulation aged 25 and over (the attainment base)
vintageintegeryesACS 5-year data vintage (end year)
zctastringyes5-digit ZIP Code Tabulation Area

No examples provided.

get_housing ~140

Housing measures for a ZIP: home value, rent, and owner-occupied share. `zip_code`: a 5-digit US ZIP. Returns the median value of owner-occupied homes, the median gross rent (monthly), the number of occupied housing units, and the percent that are owner-occupied — all ACS 5-year estimates. Note: ACS top-codes median home value at $2,000,001, so the priciest ZIPs (e.g. Atherton 94027) report exactly that — read it as "$2M or more," not an exact value.

NameTypeReqDescription
zip_codestringyes
NameTypeReqDescription
median_gross_rentMedian gross rent (rent + utilities), monthly
median_home_valueMedian value of owner-occupied homes
nameCensus name for the area
occupied_unitsTotal occupied housing units
owner_occupied_pctPercent of occupied units that are owner-occupied (0-100)
vintageintegeryesACS 5-year data vintage (end year)
zctastringyes5-digit ZIP Code Tabulation Area

No examples provided.

get_income ~135

Income measures for a ZIP: median household, per-capita, and % $200k+. `zip_code`: a 5-digit US ZIP. Returns median household income, per-capita income, the number of households, and the percent of households earning $200k+ — all ACS 5-year estimates in USD. Note: ACS top-codes median household income at $250,001, so the wealthiest ZIPs (e.g. Atherton 94027) report exactly that — read it as "$250k or more," not an exact figure.

NameTypeReqDescription
zip_codestringyes
NameTypeReqDescription
households_200k_plus_pctPercent of households with income $200k+ (0-100)
median_household_incomeMedian household income
nameCensus name for the area
per_capita_incomePer-capita income
total_householdsTotal number of households
vintageintegeryesACS 5-year data vintage (end year)
zctastringyes5-digit ZIP Code Tabulation Area

No examples provided.

lookup_zip ~95

Confirm a ZIP maps to a Census ZCTA and return its name and population. `zip_code`: a 5-digit US ZIP. A good first call to validate a ZIP before asking for more detail. Returns the ZCTA, Census area name, total population, and the ACS data vintage. ZIP ≈ ZCTA; ~2% of ZIPs have no ZCTA and error.

NameTypeReqDescription
zip_codestringyes
NameTypeReqDescription
nameCensus name for the area, e.g. 'ZCTA5 90069'
populationTotal population (ACS 5-year estimate)
vintageintegeryesACS 5-year data vintage (end year)
zctastringyes5-digit ZIP Code Tabulation Area

No examples provided.

Common questions

What is the Census (ACS by ZIP) MCP server?

Census (ACS by ZIP) is an MCP server listed in the public MCP registry as io.github.mcpwright/census-mcp. U.S. Census (ACS) data by ZIP: income, demographics, housing, education, from a local store. This page covers its PyPI package (mcpwright-census).

Is the Census (ACS by ZIP) MCP server safe to use?

Census (ACS by ZIP) scores 59 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 21 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Census (ACS by ZIP) MCP server expose?

Census (ACS by ZIP) exposes 8 tools: lookup_zip, get_income, get_demographics, get_housing, get_education, and 3 more. Their descriptions and schemas cost roughly 1,019 tokens of context every time the server is loaded.

Is the Census (ACS by ZIP) MCP server still maintained?

Census (ACS by ZIP) is still listed as active in the MCP registry. We last reached this channel on 21 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.