Econdata MCP Server

@pipeworx/econdata

US labor and price statistics from the Bureau of Labor Statistics public API v2 — inflation (CPI-U), the unemployment rate, non-farm payroll employment by industry, and any BLS series by ID.

Part of Pipeworx — an MCP gateway connecting AI agents to 1476+ live data sources.

Tools

Every data point carries an ISO date derived from the BLS period code (M01–M12 monthly, Q01–Q04 quarterly, S01/S02 semiannual, A01/M13 annual), so results sort and freshness-check without decoding "M06".

Auth

Keyless works, at roughly 25 requests per day per IP. A free BLS registration key raises that to 500/day: get one at https://data.bls.gov/registrationEngine/. The gateway supplies a platform key (PLATFORM_BLS_KEY); pass _apiKey only to override it with your own.

Two BLS limits fail differently and the pack distinguishes them, because they used to read alike:

• Per-second burst — BLS returns HTTP 429 "Requests Per Second Limit Exceeded" when concurrent callers land in the same second. The pack retries three times (400 ms, 1200 ms, 2500 ms); only a 429 that survives all three surfaces, as upstream_throttled, saying explicitly that this is not the daily quota and not an exhausted key.
• Daily threshold — arrives as a REQUEST_NOT_PROCESSED body, not an HTTP error. Also surfaced as upstream_throttled, with the registration link.

Data sources

• BLS Public Data API v2 — https://api.bls.gov/publicAPI/v2/timeseries/data/ (docs: https://www.bls.gov/developers/api_signature_v2.htm)
• Series used: CUUR0000SA0 / CUSR0000SA0 (CPI-U, NSA / SA), LNS14000000 (unemployment rate), CES* (Current Employment Statistics by industry)

Quick Start

Add to your MCP client (Claude Desktop, Cursor, Windsurf, etc.):

{
  "mcpServers": {
    "econdata": {
      "url": "https://gateway.pipeworx.io/econdata/mcp"
    }
  }
}

What this endpoint actually serves

tools/list at https://gateway.pipeworx.io/econdata/mcp returns the tools in the table above plus the shared Pipeworx meta-tools — ask_pipeworx, discover_tools, search_within, remember/recall and the rest of the gateway-wide set. So the tool count you see is larger than this table: a single-pack endpoint currently lists roughly 30 shared tools alongside the pack's own. The connection's initialize response states its exact scope, and is the authoritative answer for a given day.

This is deliberate, not multiplexing by accident. The meta-tools are what let a scoped connection answer a question this pack does not cover — via ask_pipeworx, which routes across the whole catalog — without you adding a second MCP server. There is currently no way to mount a pack endpoint without them; if the extra schemas cost you more context than the routing is worth, connect to the full gateway once rather than to several pack endpoints.

Or connect to the full Pipeworx gateway to get every pack's tools listed directly, instead of just this one's:

{
  "mcpServers": {
    "pipeworx": {
      "url": "https://gateway.pipeworx.io/mcp"
    }
  }
}

Both URLs reach the same gateway and the same 1476+ data sources. The only difference is which pack's tools are listed directly; ask_pipeworx reaches all of them from either one.

Using with ask_pipeworx

Instead of calling tools directly, you can ask questions in plain English — this works on the pack endpoint above as well as on the full gateway:

ask_pipeworx({ question: "your question about Econdata data" })

The gateway picks the right tool and fills the arguments automatically.

More

• Docs and guides
• pipeworx.io

License

MIT