Public Hosted Server: https://census.caseyjhand.com/mcp

Overview

US Census Bureau demographic, economic, and housing data. Find datasets and variables, resolve place names or addresses to FIPS codes, and query or rank estimates across any set of geographies.

Tools

| Tool | Description | |:-----|:------------| | census_list_datasets | Browse available Census Bureau datasets (ACS5 and ACS1 with their profile, subject, and comparison tables, ACS Supplemental Estimates and Selected Population Profiles, Population Estimates, Decennial, County Business Patterns, Economic Census, Nonemployer Statistics) with vintage years and dataset codes. | | census_list_geographies | List the geography levels supported by a dataset and year, with parent requirements and example FIPS values. | | census_search_variables | Keyword search across variable labels and concept groups, or lookup by variable or table code. On ACS, returns estimate and margin-of-error codes together. | | census_get_variable | Fetch full metadata for one or more variable codes — label, concept, predicate type, universe, MOE sibling — including the annotation and flag columns the data tools accept. | | census_list_predicate_values | List the codes a filter dimension accepts (EMPSZES, LFO, POPGROUP, NAICS2017…), from the dataset dictionary or a live wildcard enumeration. | | census_resolve_geography | Convert place names (e.g., "King County, WA"), ZIP codes, or street addresses to Census FIPS identifiers via TIGERweb and Census Geocoder. | | census_query_data | Query a Census dataset for variables at one geography, a comma-separated list of them, or every geography at a level. Returns estimates with MOE, Census sentinel values and withheld business values resolved to their published meanings, and predicate filtering for the business datasets. | | census_compare_geographies | Rank and compare variables across multiple geographies — all counties in a state, all states nationally, or a named set. Sorted table output, with the same predicate filtering. |

Capability reference

census_list_datasets tool

• Returns dataset codes, names, descriptions, and available vintage years, with an optional keyword filter. Covers ACS5 and ACS1 (data profiles, subject tables, comparison profiles, and acs/acs1/spp), acs/acsse, Population Estimates, the 2020 Decennial files (Redistricting (P.L. 94-171), dec/dhc, dec/dp, dec/sdhc, dec/ddhca, dec/ddhcb), cbp, ecnbasic, and nonemp
• Each description names the filter predicates the dataset requires and the geography levels it publishes
• Dataset codes (e.g., acs/acs5) are what the other tools take. Case is ignored and a two-part code works by its last part alone (acs5, pl); three-part codes such as acs/acs5/profile must be given in full
• available_years is exhaustive: any other year fails with year_not_available, naming the years that work

census_list_geographies tool

• Returns one row per geography level and parent hierarchy: geography_level, whether a parent is required, required_parent_levels, and an example FIPS value. totalLevels counts each level once
• geography_level values are the exact inputs to census_query_data and census_compare_geographies; year defaults to the latest vintage
• Fails with dataset_not_found or year_not_available (naming the years served)

census_search_variables tool

• Whole-word search across label and concept: every query word must match, otherwise the closest matches come back with a notice. A variable or table code in any case returns that variable, or the whole table in code order, first (B19013 returns B19013_001E then B19013_001M)
• A code the dataset does not publish gets a notice naming the sibling dataset that holds it (S1701 in acs/acs5 points to acs/acs5/subject) or census_get_variable for an attribute column such as B19013_001EA
• On ACS datasets, estimate (E suffix) and margin-of-error (M suffix) codes come back together; comparison profiles and the other families publish no margins of error. Also finds predicate codes by keyword (naics) or code (NAICS2017 in cbp)
• limit is an integer from 1 to 100 (default 20), rejected rather than clamped when out of range; totalMatches counts matches before the limit. variables.json is cached per dataset+year (default TTL 24h)

census_get_variable tool

• Takes one or more variable codes (case-insensitive) and returns label, concept, predicate type, and the table's universe, in the order given. If groups.json can't be fetched, variables come back without universe and a notice says to retry
• Resolves annotation and flag columns such as B19013_001EA and EMP_F, with attribute_of naming the column each belongs to and attribute_type its kind (ANNOTATION, FLAG, MARGIN_OF_ERROR). On ACS datasets it also returns estimate_code/moe_code sibling references
• Confirms predicate dimension codes (NAICS2017, SEX) exist in a dataset; census_list_predicate_values lists their values. dataset defaults to acs/acs5 and year to the latest vintage
• variable_not_found when a code isn't defined, naming the sibling dataset that publishes it when one is found (DP03_0062E in acs/acs5 points to acs/acs5/profile)

census_list_predicate_values tool

• Lists the codes a filter dimension accepts, read from the dataset dictionary when it publishes a list and enumerated live otherwise. NAICS* and POPGROUP have long lists (thousands of codes; narrow with query); EMPSZES, LFO, RCPSZES, TAXSTAT, and TYPOP are live-only
• Dictionary lists are checked against the rows the dataset actually publishes and unpublished codes are dropped; source says whether the check ran and the notice gives the number withheld
• query matches code and label; results are sorted by code, and truncation is disclosed (limit an integer from 1 to 500, default 50; totalCount counts matches). On ecnbasic, within_naics scopes TAXSTAT and TYPOP to one industry
• The live route and the dictionary check read the data endpoint, so they need CENSUS_API_KEY: without a working key a live-only dimension fails with missing_api_key, while a dictionary list still answers, unchecked, with a notice naming the key

census_resolve_geography tool

• Named places (e.g., "King County, WA") resolve via TIGERweb; street addresses resolve to tract level via Census Geocoder, with block_group_fips and place_fips. A 5-digit ZIP (or ZIP+4) resolves to its ZIP Code Tabulation Area (zip code tabulation area)
• Auto-detects geography_type for state, county, place, tract, and ZIP. Metropolitan/micropolitan statistical areas, combined statistical areas, consolidated cities, and economic places need an explicit geography_type; economic place returns the 8-digit ecnbasic code (Seattle 03363000)
• The place level includes census-designated places, which answer a name only when no incorporated place or county matches exactly; use the full name ("Arlington CDP, VA") or geography_type: "place" to reach one. Optional county_fips scopes county and tract resolution (county_scope_unsupported for any other level or an address)
• Matching ignores case, accepts a state abbreviation or full name, and tolerates Saint/St. and accent differences. New York City boroughs resolve to their counties ("Brooklyn, NY" → Kings County 047) with a notice
• A name matching several geographies returns ambiguous_name with every candidate's FIPS code and state. Results carry state_fips (→ parent_fips) and fips_summary (→ geography_fips) for the next tool; statistical areas and ZCTAs omit state_fips

census_query_data tool

• Requires FIPS codes (use census_resolve_geography for place names). geography_fips: "*" returns every geography at the level within the parent; each row carries geography_fips and the nationally unique geography_geoid. Wildcards return up to limit rows (default 50, max 500) in GEOID order, with offset for paging and totalCount and truncated for the rest
• A comma-separated list ("06,53", or "033,061" with parent_fips: "53") returns one row per listed code at the same level, in GEOID order and paged the same way; codes take the level's width, no "*" member, and the parents a single code needs. The notice names each listed code no row came back for
• Up to 49 variable codes per call, fewer on datasets that add label or record columns (too_many_variables states the maximum). Unknown codes fail with variable_not_found; level and parent problems fail with parent_required or parent_not_accepted. Optional tract_fips (6 digits, with a concrete county_fips) scopes a block-group or decennial block query to one tract
• Optional predicates map filters the business, pep, and dec datasets and acs/acs1/spp (e.g., {"NAICS2017": "5112"}). Unset dimensions take a Census default, echoed per row in applied_filters; "*" returns one row per category, labelled in record. pep/charv returns several rows per geography, so pin one (e.g., {"MONTH": "7"})
• ACS sentinel values resolve to their published meanings, and a median in an open-ended interval is flagged open_ended. On cbp, ecnbasic, and nonemp, withheld values are reported as suppressed with the flag's meaning. A null estimate means suppressed, a text cell (returned under value), or empty
• On dec/ddhca and dec/ddhcb, a geography's POPGROUP group sits in only one table of a family; a no_data hint or notice names the sibling tables. Requires CENSUS_API_KEY

census_compare_geographies tool

• Ranks all geographies at a level, or a named geographies list of GEOIDs/bare level codes; within/within_county scope to a state/county, omit for a national comparison
• Ranks on one variable: sort_by (default the first code; must be a requested code, else sort_by_not_requested), sort_dir (default desc), and limit (1 to 500, default 50); totalCount counts geographies before the limit. A count ranks by size, not rate, so rank a published percentage for a rate (S1701_C03_001E in acs/acs5/subject, DP04_0047PE in acs/acs5/profile)
• Takes the same predicates, variable limit, validation, and applied_filters as census_query_data; multi-record datasets (pep/charv) or a "*" predicate fail with ambiguous_rows unless predicates pins one. Suppressed values sort last with the same reasons, and text values can't be ranked (the notice says so). Requires CENSUS_API_KEY

Features

Built on @cyanheads/mcp-ts-core: stdio and Streamable HTTP transports, pluggable auth (none / jwt / oauth), swappable storage (in-memory, filesystem, Supabase, Cloudflare KV/R2/D1), structured logging with optional OpenTelemetry tracing.

Census-specific:

• In-process variable cache with configurable TTL — variables.json fetched once per dataset+year, searched client-side
• Three-API backend: Census Data API for data queries, TIGERweb for named-place resolution, Census Geocoder for address-to-tract
• Automatic retry with backoff on all external API calls
• FIPS formatting helpers — zero-padded state, county, and tract codes ready to pass between tools

Agent-friendly output:

• Workflow-oriented tool surface — fips_summary and state_fips return values are ready to pass as geography_fips and parent_fips to the next tool
• Suppression codes decoded — Census negative sentinel values (e.g., -666666666) and business-dataset withholding flags (e.g., D) surfaced as their published meanings instead of raw numbers or false zeros
• Recovery hints on errors — ambiguous geography names include candidate lists; missing API key errors include registration URL

Getting started

Connect to the hosted instance, no install:

claude mcp add --transport http census-mcp-server https://census.caseyjhand.com/mcp

Or run it locally:

claude mcp add census-mcp-server -e CENSUS_API_KEY=your-key -- npx -y @cyanheads/census-mcp-server

For other clients, add this to the MCP config file:

{
  "mcpServers": {
    "census-mcp-server": {
      "command": "npx",
      "args": ["-y", "@cyanheads/census-mcp-server"],
      "env": { "CENSUS_API_KEY": "your-key" }
    }
  }
}

Register a free key at api.census.gov/data/key_signup.html. Data queries (census_query_data, census_compare_geographies) require it, as does census_list_predicate_values for a dimension it enumerates live; variable search and geography resolution work without one. For Docker or a source build, see Running the server.

Configuration

| Variable | Description | Default | |:---------|:------------|:--------| | CENSUS_API_KEY | Required for data queries (census_query_data, census_compare_geographies) and for census_list_predicate_values on a live-enumerated dimension; without it those fail with missing_api_key, and a dictionary list comes back unchecked. Register free at api.census.gov/data/key_signup.html. | — | | CENSUS_DEFAULT_YEAR | Default vintage year when no year is specified. | 2024 | | CENSUS_VARIABLE_CACHE_TTL_HOURS | Hours to cache variables.json per dataset+year in memory. | 24 | | MCP_TRANSPORT_TYPE | Transport: stdio or http. | stdio | | MCP_SESSION_MODE | HTTP session mode: stateful, stateless, or auto. | stateless | | MCP_HTTP_PORT | Port for HTTP server. | 3010 | | MCP_AUTH_MODE | Auth mode: none, jwt, or oauth. | none | | MCP_LOG_LEVEL | Log level (debug, info, notice, warning, error). | info | | LOG_TOOL_FAILURE_PAYLOADS | Log each failed tool call's arguments and result, redacted by key name and capped at LOG_TOOL_FAILURE_PAYLOAD_MAX_BYTES (default 16384). A secret inside a free-form value is not redacted. | false | | OTEL_ENABLED | Enable OpenTelemetry instrumentation. | false |

See .env.example for the full list of optional overrides.

Running the server

Local development

Requires Bun v1.4.0 or higher (or Node.js v24+).

• Clone and install:

  git clone https://github.com/cyanheads/census-mcp-server.git
  cd census-mcp-server && bun install
  cp .env.example .env   # set CENSUS_API_KEY

• Build and run:

  # One-time build
  bun run rebuild
  
  # Run the built server
  bun run start:stdio
  # or
  bun run start:http

• Run checks and tests:

  bun run devcheck   # Lint, format, typecheck, security audit
  bun run test       # Vitest test suite
  bun run lint:mcp   # Validate MCP definitions against spec

Docker

docker run --rm -e CENSUS_API_KEY=your-key -p 3010:3010 ghcr.io/cyanheads/census-mcp-server:latest

The image defaults to HTTP transport, stateless session mode, and logs to /var/log/census-mcp-server. To run it over stdio from an MCP client, use "command": "docker" with "args": ["run", "-i", "--rm", "-e", "MCP_TRANSPORT_TYPE=stdio", "-e", "CENSUS_API_KEY=your-key", "ghcr.io/cyanheads/census-mcp-server:latest"]. To build locally, docker build -t census-mcp-server .; OpenTelemetry peer dependencies are installed by default — build with --build-arg OTEL_ENABLED=false to omit them.

Project structure

| Path | Purpose | |:-----|:--------| | src/index.ts | createApp() entry point — registers tools and initializes services. | | src/config/server-config.ts | Census-specific env var parsing and validation with Zod. | | src/mcp-server/tools/definitions/ | Tool definitions (*.tool.ts). | | src/services/census-api/ | Census Data API client — data queries, suppression code mapping, retry logic. | | src/services/geography/ | Geography resolution — TIGERweb named-place lookup and Census Geocoder address-to-tract. | | src/services/variable-cache/ | In-process variables.json cache with TTL and keyword search. | | tests/ | Vitest tests mirroring src/ structure. |

Development guide

See CLAUDE.md for development guidelines and architectural rules. The short version:

• Handlers throw, framework catches — no try/catch in tool logic
• Use ctx.log for request-scoped logging, ctx.state for tenant-scoped storage
• Register new tools via the barrel in src/mcp-server/tools/definitions/index.ts
• Wrap external API calls: validate raw → normalize to domain type → return output schema; never fabricate missing fields

Contributing

Issues are welcome. Run checks and tests before submitting:

bun run devcheck
bun run test

License

Apache-2.0 — see LICENSE for details.