MCP server that wraps the Dagster GraphQL API — manage runs, assets, schedules, sensors, and backfills from any MCP client
US Bureau of Labor Statistics is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
What it does
Fetch BLS data series — CPI, unemployment, wages, JOLTS and more.
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user --transport http us-bureau-of-labor-statistics-mcp https://bls-labor.caseyjhand.com/mcp
# 2 — ask your agent for something these tools do
# bls_list_surveys, bls_search_series, bls_get_latest and 3 more
US Bureau of Labor Statistics costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, read from the address; if the publisher says otherwise, swap that one word.
claude mcp add --scope user --transport http us-bureau-of-labor-statistics-mcp https://bls-labor.caseyjhand.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
6 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
List BLS survey programs with their abbreviation codes, full names, and metadata about calculation support and annual averages. Use to discover which survey covers a topic before calling bls_search_series. Optional category filter narrows results to prices, employment, wages, productivity, injuries, or time_use surveys.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| category | string | no | Optional category filter. One of: prices, employment, wages, productivity, injuries, time_use. Omit to list all surveys. |
Search the BLS series catalog by natural language query, survey code, geographic area, or keywords to resolve cryptic SeriesIDs. Returns matching series with decoded components (survey, area, item, seasonal flag) and plain-language names. Use this before bls_get_series when you have a concept but not a SeriesID. Operates offline — no API quota consumed. Survey filter accepts two-letter codes (CU,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| query | string | yes | Natural language or keyword query (e.g. "unemployment rate", "CPI food", "nonfarm payrolls"). Also accepts a SeriesID directly for exact lookup. |
| survey | string | no | Two-letter LABSTAT survey abbreviation to filter results (e.g. CU for CPI, CE for CES, LN for CPS, LA for LAUS, JT for JOLTS, OE for OEWS). Omit to search all loaded surveys. |
| area | string | no | State name, MSA name, or FIPS area code to narrow results to a geographic area. Omit for national series. |
| seasonal_adjustment | boolean | no | When true, return only seasonally adjusted series. When false, return only not-seasonally-adjusted. Omit to return both. |
| limit | integer | no | Maximum number of results to return (1–50, default 10). |
Return the single most recent observation for one or more BLS series. Use for "what is X right now" questions — the current unemployment rate, the latest CPI reading, etc. Each series consumes one API query against the 500/day limit; for the current value of many series, bls_get_series with a 1-year window is more quota-efficient (one query for up to 50 series). Recommended limit: 10 series; maxim
| Parameter | Type | Required | Notes |
|---|---|---|---|
| series_ids | array | yes | One or more BLS SeriesIDs (1–50). Each consumes one daily API query. Use bls_search_series to resolve concepts to SeriesIDs. Recommended: ≤10 series. |
Fetch time-series data for 1–50 BLS series by SeriesID in a single API request (one query against the 500/day limit). Supports optional year range (up to 20 years per request) and BLS-computed period-over-period calculations (net change and percent change; a survey returns whichever it supports and silently omits the rest — CPI and PPI return percent change only, the inflation rate). Observations
| Parameter | Type | Required | Notes |
|---|---|---|---|
| series_ids | array | yes | One or more BLS SeriesIDs (1–50). The entire batch counts as one API query. Use bls_search_series to resolve concepts to SeriesIDs. |
| start_year | integer | no | Start year for the data range (inclusive). The BLS API allows up to 20 years per request. Omit for the API default (typically 3–20 years depending on survey). |
| end_year | integer | no | End year for the data range (inclusive). Defaults to the current year when omitted. |
| calculations | boolean | no | When true, request BLS-computed period-over-period calculations. The flag is a single boolean (you cannot select an individual calculation type), but the API returns whichever the survey supports and |
| annual_average | boolean | no | When true, add each year's annual-average row to the observations. An annual average is the mean of that year's real periods, returned as an extra row named "Annual" with period M13 (monthly series), |
List canvas dataframes materialized by bls_get_series, with provenance (source tool, query parameters), TTL, row count, and column schema. Use before writing SQL to confirm column names. Lazy-sweeps expired tables before responding. Requires CANVAS_PROVIDER_TYPE=duckdb.
| Parameter | Type | Required | Notes |
|---|---|---|---|
| name | string | no | Optional table name (df_XXXXX_XXXXX) to describe a single dataframe. Omit to list all active dataframes. |
Run a single-statement SELECT against the canvas dataframes registered by bls_get_series. Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected. System catalogs (information_schema, pg_catalog, sqlite_master, duckdb_*) are denied at the bridge layer — use bls_dataframe_describe to list available dataframes. Supports JOINs, aggregates, window functions,
| Parameter | Type | Required | Notes |
|---|---|---|---|
| sql | string | yes | Single-statement SELECT against df_<id> tables on the shared canvas. Reference dataframes by the names returned in bls_get_series responses or listed by bls_dataframe_describe. Standard DuckDB SQL — j |
| register_as | string | no | When set, persist the query result as a new dataframe under this name. Fresh TTL — not inherited from parent tables. Use to chain analyses without re-running source SQL or consuming additional BLS quo |
| preview | integer | no | Inline row preview count. Defaults to row_limit. Set lower (e.g. 50) when chaining via register_as and only a sample is needed immediately. |
| row_limit | integer | no | Hard cap on rows materialized in the response (default 1000, max 10000). Full results live on-canvas under register_as when provided. |
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install US Bureau of Labor Statistics or to call it, at any volume.
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
This listing is an address its publisher runs, and you connect to it directly — this marketplace is not in the path. The scanner reads packages and public source, and an address is neither. So there is no grade — not a withheld one, an unmeasured one.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 0.4.12.
No release note was published with this version.
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Any signed-in account that does not publish US Bureau of Labor Statistics can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.