Census (ACS by ZIP)
PYPI · MCPWRIGHT-CENSUS
U.S. Census (ACS) data by ZIP: income, demographics, housing, education, from a local store.
Available components
Last scanned (6 hours ago)
Scores higher than 63% of PyPI servers
Category Data and Analytics
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 Security50
- Malware scan not yet available for this package.Unverified
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs uv_build at install time, a recognised build step with no custom scripting around it. View diagnostics → Pass
- 0 of 29 dependencies flagged as unhealthy. View diagnostics → Pass
Provenance & Transparency45
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- Clear OSI-approved license (MIT).Pass
- Actively maintained (last published 76 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
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 Management100
- No destabilizing schema changes in the last 30 days.Pass
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
Checks we ran (15)
- Known CVEs
- Install scripts
- Dependency health
- Source repository
- Provenance
- License
- Maintenance
- Security disclosure
- Schema quality
- Stability
- Tool coverage
- Injection markers
- Destructive annotations
- Judged manipulation
- MCP protocol
Checks we could not complete (1)
These are gaps on our side, not findings about this package. We only credit what we can confirm, so a category made up entirely of them scores 0.
- Malware scan in Supply Chain SecurityMalware scan not yet available for this package.
Does not apply to this package (2)
- Endpoint SecurityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
- Transport & ReachabilityScored on hosted endpoints only. A package has no live endpoint of its own for us to probe.
The score does not measure everything. What the score does not measure →
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.
- 3 Nov 26 −15
- Malware scan: pass → unverified ▼ security
- 31 Oct 26 +15
- Malware scan: unverified → pass ▲ security
- Stability: 0.97 → pass security
- 30 Oct 26 −15
- Malware scan: pass → unverified ▼ security
- Stability: pass → 0.97 functional
- 28 Oct 26 0
- Security disclosure: unverified → fail ▼ functional
- 27 Oct 26 0
- Security disclosure: fail → unverified ▼ functional
- 25 Oct 26 0
- Security disclosure: unverified → fail ▼ functional
- 24 Oct 26 0
- Security disclosure: fail → unverified ▼ functional
- 21 Oct 26 +15
- Malware scan: unverified → pass ▲ security
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 5 Nov 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 |
| Reason | No attestation published |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | Known build tool | uv_build |
Background: Why install scripts are a supply-chain risk →
Dependencies 29 packages
| Packages resolved | 29 |
|---|---|
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
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 →
compare_zips 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.
| Name | Type | Req | Description |
|---|---|---|---|
| metric | string | yes | – |
| zips | array | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| metric | string | yes | The compared metric's name |
| results | array | yes | One entry per requested ZIP, sorted by value descending; ZIPs with no value are listed last |
| vintage | integer | yes | ACS 5-year data vintage (end year) |
No examples provided.
find_zips Find ZIPs for a place ~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).
| Name | Type | Req | Description |
|---|---|---|---|
| place | string | yes | – |
| state | – | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| matches | array | yes | ZCTAs intersecting the place, sorted by coverage_pct descending. Empty places (no match) raise an error instead. |
| query | string | yes | The place name searched for |
| state | – | – | The 2-letter USPS state filter applied, if any |
| vintage | integer | yes | Census geography year of the ZCTA-to-place relationship (2020) |
No examples provided.
get_acs_variable Get a raw 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.
| Name | Type | Req | Description |
|---|---|---|---|
| variable | string | yes | – |
| zip_code | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| column | string | yes | Friendly store-column name, e.g. 'median_household_income' |
| name | – | – | Census name for the area |
| value | – | – | The variable's value for this ZIP, or null if missing/suppressed (a string only for the 'name' variable) |
| variable | string | yes | ACS variable code, e.g. 'B19013_001E' |
| vintage | integer | yes | ACS 5-year data vintage (end year) |
| zcta | string | yes | 5-digit ZIP Code Tabulation Area |
No examples provided.
get_demographics Get demographics by ZIP ~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.)
| Name | Type | Req | Description |
|---|---|---|---|
| zip_code | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| median_age | – | – | Median age of the population, in years |
| name | – | – | Census name for the area |
| population | – | – | Total population (ACS 5-year estimate) |
| vintage | integer | yes | ACS 5-year data vintage (end year) |
| zcta | string | yes | 5-digit ZIP Code Tabulation Area |
No examples provided.
get_education Get education by ZIP ~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.
| Name | Type | Req | Description |
|---|---|---|---|
| zip_code | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| bachelors_plus_pct | – | – | Percent of those 25+ with a bachelor's degree or higher (0-100) |
| graduate_or_professional_pct | – | – | Percent of those 25+ with a graduate or professional degree (master's, professional, or doctorate) (0-100) |
| name | – | – | Census name for the area |
| population_25_plus | – | – | Population aged 25 and over (the attainment base) |
| vintage | integer | yes | ACS 5-year data vintage (end year) |
| zcta | string | yes | 5-digit ZIP Code Tabulation Area |
No examples provided.
get_housing Get housing by ZIP ~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.
| Name | Type | Req | Description |
|---|---|---|---|
| zip_code | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| median_gross_rent | – | – | Median gross rent (rent + utilities), monthly |
| median_home_value | – | – | Median value of owner-occupied homes |
| name | – | – | Census name for the area |
| occupied_units | – | – | Total occupied housing units |
| owner_occupied_pct | – | – | Percent of occupied units that are owner-occupied (0-100) |
| vintage | integer | yes | ACS 5-year data vintage (end year) |
| zcta | string | yes | 5-digit ZIP Code Tabulation Area |
No examples provided.
get_income Get income by ZIP ~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.
| Name | Type | Req | Description |
|---|---|---|---|
| zip_code | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| households_200k_plus_pct | – | – | Percent of households with income $200k+ (0-100) |
| median_household_income | – | – | Median household income |
| name | – | – | Census name for the area |
| per_capita_income | – | – | Per-capita income |
| total_households | – | – | Total number of households |
| vintage | integer | yes | ACS 5-year data vintage (end year) |
| zcta | string | yes | 5-digit ZIP Code Tabulation Area |
No examples provided.
lookup_zip Look up a 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.
| Name | Type | Req | Description |
|---|---|---|---|
| zip_code | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| name | – | – | Census name for the area, e.g. 'ZCTA5 90069' |
| population | – | – | Total population (ACS 5-year estimate) |
| vintage | integer | yes | ACS 5-year data vintage (end year) |
| zcta | string | yes | 5-digit ZIP Code Tabulation Area |
No examples provided.
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
claude mcp add mcpwright-census-mcp -- uvx mcpwright-census
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 66 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 5 November 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 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.
What licence is the Census (ACS by ZIP) MCP server under?
Census (ACS by ZIP) declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.
What did VerifyMCP test on the Census (ACS by ZIP) MCP server?
VerifyMCP ran 15 checks on Census (ACS by ZIP), covering Known CVEs, Install scripts, Dependency health, Source repository and 11 more. One item could not be completed, a gap on our side rather than a finding about Census (ACS by ZIP): Malware scan. Endpoint Security and Transport & Reachability do not apply to a PyPI package, so they were not tested. The score does not measure everything, and the scoring documentation lists what it leaves out.