bls-labor-mcp-server

endpoint

https://bls-labor.caseyjhand.com/mcp

protocol

http-sse ·2025-06-18

authentication

none observed

public key

none — nobody has proven they own this listing

karma

0 · newcomer

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

• bls_list_surveys unknown never probed

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "category": {
        "enum": [
          "prices",
          "employment",
          "wages",
          "productivity",
          "injuries",
          "time_use"
        ],
        "type": "string",
        "description": "Optional category filter. One of: prices, employment, wages, productivity, injuries, time_use. Omit to list all surveys."
      }
    },
    "additionalProperties": false
  }

  arguments 19 lines copy
• bls_search_series unknown never probed

  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, CE, LN, LA, PC, JT, OE, EC, PR). Area filter accepts state names, MSA names, or FIPS area codes.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "query"
    ],
    "properties": {
      "area": {
        "type": "string",
        "description": "State name, MSA name, or FIPS area code to narrow results to a geographic area. Omit for national series."
      },
      "limit": {
        "type": "integer",
        "default": 10,
        "maximum": 50,
        "minimum": 1,
        "description": "Maximum number of results to return (1–50, default 10)."
      },
      "query": {
        "type": "string",
        "minLength": 1,
        "description": "Natural language or keyword query (e.g. \"unemployment rate\", \"CPI food\", \"nonfarm payrolls\"). Also accepts a SeriesID directly for exact lookup."
      },
      "survey": {
        "type": "string",
        "description": "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."
      },
      "seasonal_adjustment": {
        "type": "boolean",
        "description": "When true, return only seasonally adjusted series. When false, return only not-seasonally-adjusted. Omit to return both."
      }
    },
    "additionalProperties": false
  }

  arguments 34 lines copy
• bls_get_latest unknown never probed

  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; maximum: 50.

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "series_ids"
    ],
    "properties": {
      "series_ids": {
        "type": "array",
        "items": {
          "type": "string",
          "minLength": 1
        },
        "maxItems": 50,
        "minItems": 1,
        "description": "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."
      }
    },
    "additionalProperties": false
  }

  arguments 20 lines copy
• bls_get_series unknown never probed

  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). BLS can publish a '-' missing-value sentinel; check observation.available before arithmetic. Set annual_average to add each year's annual-average row, which is that year's mean rather than an additional period. When the total observation count would exceed the inline context budget, results spill to a canvas dataframe and the response includes a dataset.name handle. Call bls_dataframe_describe with that name to inspect the dataframe schema, then use the name in bls_dataframe_query SQL. Use bls_search_series first if you need to resolve a concept to a SeriesID.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "series_ids"
    ],
    "properties": {
      "end_year": {
        "type": "integer",
        "maximum": 2100,
        "minimum": 1900,
        "description": "End year for the data range (inclusive). Defaults to the current year when omitted."
      },
      "series_ids": {
        "type": "array",
        "items": {
          "type": "string",
          "minLength": 1
        },
        "maxItems": 50,
        "minItems": 1,
        "description": "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": {
        "type": "integer",
        "maximum": 2100,
        "minimum": 1900,
        "description": "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)."
      },
      "calculations": {
        "type": "boolean",
        "description": "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 omits the rest — CPI and PPI return percent change only (the inflation rate), and a survey that supports neither simply returns its observations without calculation fields. Requesting calculations never fails, so it is always safe to set; consult bls_list_surveys (allowsNetChange / allowsPercentChange) only to predict which fields will come back. Monthly-cadence series return each supported change type over 1, 3, 6, and 12-month intervals; other cadences return a subset."
      },
      "annual_average": {
        "type": "boolean",
        "default": false,
        "description": "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), Q05 (quarterly) or S03 (semiannual) — not an additional month or quarter, so it must be excluded from any sum or average over observations. Defaults to false, which returns real periods only; check available before aggregating. Independent of start_year/end_year. Surveys that publish no annual averages return the same rows either way; enrichment.annualAverageRows reports how many rows were actually added."
      }
    },
    "additionalProperties": false
  }

  arguments 41 lines copy
• bls_dataframe_describe unknown never probed

  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.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "properties": {
      "name": {
        "type": "string",
        "description": "Optional table name (df_XXXXX_XXXXX) to describe a single dataframe. Omit to list all active dataframes."
      }
    },
    "additionalProperties": false
  }

  arguments 11 lines copy
• bls_dataframe_query unknown never probed

  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, and CTEs. Optional register_as persists the result as a new dataframe with a fresh TTL for chained analysis. Canvas SQL operations consume zero BLS API quota. Requires CANVAS_PROVIDER_TYPE=duckdb.

  mcp-tool

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  {
    "type": "object",
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "required": [
      "sql"
    ],
    "properties": {
      "sql": {
        "type": "string",
        "minLength": 1,
        "description": "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 — joins, aggregates, window functions, CTEs all supported. Example: SELECT series_id, year, period, value FROM df_AAAAA_BBBBB WHERE year >= '2020' ORDER BY year DESC."
      },
      "preview": {
        "type": "integer",
        "maximum": 10000,
        "minimum": 0,
        "description": "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": {
        "type": "integer",
        "default": 1000,
        "maximum": 10000,
        "minimum": 1,
        "description": "Hard cap on rows materialized in the response (default 1000, max 10000). Full results live on-canvas under register_as when provided."
      },
      "register_as": {
        "type": "string",
        "description": "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 quota."
      }
    },
    "additionalProperties": false
  }

  arguments 32 lines copy

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Served from the same domain, which is what was measured. Not a claim that one owner runs them: ownership is what a passport proves, and each of these says for itself.

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