Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Description from the maker (original English)
Query U.S. Census Bureau data, variables, and geography via MCP.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
CENSUS_API_KEY, MCP_LOG_LEVELYou need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://census.caseyjhand.com/mcpOpen Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"census": {
"command": "npx",
"args": [
"-y",
"@cyanheads/census-mcp-server"
],
"env": {
"CENSUS_API_KEY": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}Run this in your terminal
claude mcp add --transport http census https://census.caseyjhand.com/mcpclaude mcp add census --env CENSUS_API_KEY=your-value --env MCP_LOG_LEVEL=your-value -- npx -y @cyanheads/census-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"census": {
"url": "https://census.caseyjhand.com/mcp"
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"census": {
"command": "npx",
"args": [
"-y",
"@cyanheads/census-mcp-server"
],
"env": {
"CENSUS_API_KEY": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"census": {
"type": "http",
"url": "https://census.caseyjhand.com/mcp"
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"census": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@cyanheads/census-mcp-server"
],
"env": {
"CENSUS_API_KEY": "your-value",
"MCP_LOG_LEVEL": "your-value"
}
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
ChatGPT connects only to servers on the internet:
https://census.caseyjhand.com/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
CENSUS_API_KEY envMCP_LOG_LEVEL envThese settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Tool names and descriptions exactly as the server reported them on Nov 6, 2026. The maker wrote them, not us; we show them as plain text.
census_list_datasetsBrowse available Census Bureau datasets with their supported vintage years. Use as the starting point when the right dataset is unknown — ACS5, ACS1, and their profile, subject, and comparison tables, population estimates, the decennial census files, and the business datasets (Co
census_list_geographiesList the geography levels available for a given Census dataset and year, along with the parent geographies each level requires. Use before querying to confirm that the target geography level exists — ACS1 omits many sub-state levels, and not all datasets support tracts or block g
census_search_variablesSearch Census variables by keyword across variable labels and concept groups, or look one up by its code. Returns variable codes with human-readable labels — use this to go from a concept like "median household income" to the variable code B19013_001E needed for data queries. A q
census_get_variableFetch full metadata for one or more Census variable codes — label, concept group, predicate type, the table's universe, and margin-of-error sibling references. Use to confirm a variable code before building a query, or to look up what a known code means. On ACS datasets it return
census_list_predicate_valuesList the codes a Census filter dimension accepts, so a predicates map can be written without guessing. Answers the question left open when census_query_data or census_compare_geographies reports that a dimension was left unset. Which route a dimension takes depends on the vintage
census_resolve_geographyResolve a place name, ZIP code, or street address to Census FIPS identifiers. Converts names like "King County, WA", "Seattle, WA", or "Seattle-Tacoma-Bellevue, WA", and ZIPs like "98109", to the codes required by census_query_data and census_compare_geographies. Use before query
census_query_dataQuery a Census dataset for one or more variables at one geography, a list of geographies at the same level, or every geography at a level. Accepts FIPS codes for the target geography — use census_resolve_geography to convert place names to FIPS when needed. On ACS datasets, label
census_compare_geographiesCompare one or more variables across multiple geographies at the same level — all counties in a state, all states nationally, or a named set of specific geographies — ranked on the value of one of them. Covers queries like "compare median income across WA counties" or "which stat
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account cyanheads, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 239 ms (HTTP 200)
No sign-in needed
Read 8 tool descriptions and found no hidden instructions to the AI
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (0.7.2) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Spec Driven Development, Remote Desktop Commander, FlyDocs
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Spec-driven development workflow: your agent works issues, sessions and the status lifecycle.
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
@cyanheads/census-mcp-server Query U.S. Census Bureau data, variables, and geography via MCP. STDIO or Streamable HTTP. 8 Tools
Public Hosted Server: https://census.caseyjhand.com/mcp
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.
| 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. |
census_list_datasets toolacs/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 nonempacs/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 fullavailable_years is exhaustive: any other year fails with year_not_available, naming the years that workcensus_list_geographies toolgeography_level, whether a parent is required, required_parent_levels, and an example FIPS value. totalLevels counts each level oncegeography_level values are the exact inputs to census_query_data and census_compare_geographies; year defaults to the latest vintagedataset_not_found or year_not_available (naming the years served)census_search_variables toolB19013 returns B19013_001E then B19013_001M)S1701 in acs/acs5 points to acs/acs5/subject) or census_get_variable for an attribute column such as B19013_001EAnaics) or code (NAICS2017 in cbp)limit is an integer from 1 to 100 (default 20), rejected rather than clamped when out of range. offset pages the complete match ordering; totalMatches counts matches before paging, truncated means another page exists, and nextOffset names it. variables.json is cached per dataset+year (default TTL 24h)census_get_variable toolgroups.json can't be fetched, variables come back without universe and a notice says to retryB19013_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 referencesNAICS2017, SEX) exist in a dataset; census_list_predicate_values lists their values. dataset defaults to acs/acs5 and year to the latest vintagevariable_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 toolNAICS* and POPGROUP have long lists (thousands of codes; narrow with query); EMPSZES, LFO, RCPSZES, TAXSTAT, and TYPOP are live-onlysource says whether the check ran and the notice gives the number withheld. A dictionary list does not validate publication at a supplied geography levelgeography_level (default us) and echoes that scope. Codes vary by level; only levels whose dataset metadata permits an unparented wildcard are acceptedquery matches code and label; results are sorted by code before offset/limit paging (limit 1 to 500, default 50). totalCount counts all matches; truncated means another page exists, with nextOffset only then. On ecnbasic, within_naics scopes TAXSTAT and TYPOP to one industryCENSUS_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 keycensus_resolve_geography toolblock_group_fips and place_fips. A 5-digit ZIP (or ZIP+4) resolves to its ZIP Code Tabulation Area (zip code tabulation area)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)geography_type: "place" to reach one. Optional county_fips scopes county and tract resolution (county_scope_unsupported for any other level or an address)047) with a noticeambiguous_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_fipscensus_query_data toolcensus_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 for all matches. truncated is true only when another page exists; nextOffset names that page"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 fortoo_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 tractpredicates 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"})Only the beginning is shown; read the rest in the repo