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@cyanheads/bls-labor-mcp-server

\n

Fetch US Bureau of Labor Statistics data — CPI, unemployment, wages, JOLTS, and more via MCP. STDIO or Streamable HTTP.\n

4 Tools by default · 6 with DataCanvas · 7 with opt-in drop
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\n\n**Public Hosted Server:** [https://bls-labor.caseyjhand.com/mcp](https://bls-labor.caseyjhand.com/mcp)\n\n
\n\n---\n\n## Overview\n\nUS labor statistics from the Bureau of Labor Statistics public API v2 and LABSTAT flat-file catalog. Resolve opaque SeriesIDs from natural language, fetch historical time-series or the latest observation, and query large multi-series results with SQL through an optional DataCanvas. Runs as a stdio process, a local Streamable HTTP server, or the public hosted endpoint above.\n\n### Tools\n\n| Tool | Description |\n|:-----|:------------|\n| `bls_list_surveys` | List BLS survey programs (CPI, CPS, CES, JOLTS, PPI, OEWS, …) with codes, descriptions, and calculation-support flags. |\n| `bls_search_series` | Search the BLS series catalog by natural language, survey, area, or keywords to resolve cryptic SeriesIDs. |\n| `bls_get_series` | Fetch time-series data for 1–50 BLS series by SeriesID, with optional year range and period-over-period calculations. |\n| `bls_get_latest` | Return the single most recent observation for one or more BLS series. |\n| `bls_dataframe_describe` | List canvas dataframes registered by `bls_get_series` or `bls_dataframe_query` — provenance, TTL, row count, column schema. Available when `CANVAS_PROVIDER_TYPE=duckdb`. |\n| `bls_dataframe_query` | Run a SELECT against canvas dataframes registered by `bls_get_series` or an earlier `register_as`. Supports JOINs, aggregates, window functions, CTEs. Available when `CANVAS_PROVIDER_TYPE=duckdb`. |\n| `bls_dataframe_drop` | Drop a canvas dataframe by name. Available when `CANVAS_PROVIDER_TYPE=duckdb` and `BLS_DATAFRAME_DROP_ENABLED=true`; TTL handles cleanup by default. |\n\n## Capability reference\n\n### `bls_list_surveys` tool\n\n- Optional `category` filters survey programs by subject; returns codes, names, and calculation-support flags (`allowsNetChange`, `allowsPercentChange`, `hasAnnualAverages`).\n- Backed by the BLS surveys API with monthly caching. Annual-average support is advisory; read `bls_get_series`'s `annualAverageRows` for the rows actually returned.\n\n---\n\n### `bls_search_series` tool\n\n- Search by text or SeriesID, with optional `survey`, `area` (substring of area, title, or SeriesID), and `seasonal_adjustment`; blank filters are omitted. `limit` is 1–50 (default 10), with `offset` pagination; without an area filter, equally matching national series rank first.\n- Returns decoded SeriesIDs, titles, and `frequency`. Follow `nextOffset` while `truncated` is true; `capped: true` makes `totalCount` a lower bound, and paging stops at the FTS candidate pool.\n- Searches the offline LABSTAT index without using API quota; OE/OEWS is opt-in through `BLS_CATALOG_INCLUDE_OES`. Unindexed surveys remain fetchable by SeriesID.\n\n---\n\n### `bls_get_series` tool\n\n- Fetch 1–50 SeriesIDs per call, with a `start_year`/`end_year` window of up to 20 years, optional `calculations`, and `annual_average`. A start alone resolves the end to the current year capped at start + 19; an end alone is rejected. One batch consumes one API query; calculations depend on survey support (CPI/PPI return percent change only).\n- Returns observations with `available`, preserves the raw `-` missing-value sentinel, and keeps valid series in mixed batches. Enrichment reports the applied year window, calculations, and annual-average rows.\n- Large results spill to `dataset.name` when `CANVAS_PROVIDER_TYPE=duckdb`; otherwise `canvas_unavailable` asks for a narrower window.\n\n---\n\n### `bls_get_latest` tool\n\n- Fetch the latest observation for up to 50 SeriesIDs (recommended ≤10). Each ID consumes one API query; use `bls_get_series` for a more efficient multi-series batch.\n- Returns successful `results[]` beside per-series `failed[]` entries. `latestObservation.available` distinguishes a published value from BLS's missing-value sentinel.\n\n---\n\n### `bls_dataframe_describe` tool\n\n- Optional `name` describes one registered dataframe; omit it to list active dataframes for the tenant. Requires `CANVAS_PROVIDER_TYPE=duckdb`.\n- Returns source tool, query params, row count, TTL (`created_at`/`expires_at`), and `column_schema`; BLS columns are nullable. Registered-query types outside the canvas set (`DECIMAL`, `HUGEINT`, `SMALLINT`, lists) report as `VARCHAR`. Expired entries are removed when their canvas drop succeeds.\n\n---\n\n### `bls_dataframe_query` tool\n\n- Run one SELECT against registered tables, with JOINs, aggregates, window functions, or CTEs. `row_limit` defaults to 1000 and caps at 10000; writes, external-file reads, and system catalogs are denied.\n- Returns rows without consuming BLS API quota. Optional `register_as` stages the result with a fresh TTL for chained analysis; requires `CANVAS_PROVIDER_TYPE=duckdb`.\n\n---\n\n### `bls_dataframe_drop` tool\n\n- Required `name` identifies the dataframe to drop. Available only with `CANVAS_PROVIDER_TYPE=duckdb` and `BLS_DATAFRAME_DROP_ENABLED=true`; TTL handles cleanup by default.\n- Returns `dropped: false` for a missing table. A failed drop returns retryable `canvas_drop_failed` and leaves the dataframe registered.\n\n## Features\n\nBuilt on [`@cyanheads/mcp-ts-core`](https://github.com/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.\n\nBLS-specific:\n\n- BLS API v2 client with retry/backoff and daily quota tracking\n- Offline series catalog search against LABSTAT flat files, indexed as an on-disk SQLite/FTS5 store — zero API quota for discovery; the OES/OEWS wage survey (~6M series) is opt-in via `BLS_CATALOG_INCLUDE_OES`\n- Typed error contracts for BLS-specific failure modes — quota exhaustion, locked database, calculations not supported\n- Period-over-period net/percent-change calculations via BLS's own server-side flag, consistent with BLS's published numbers\n- Optional DataCanvas spillover (DuckDB) for large multi-series result sets — schema discovery and SQL access without re-querying the API\n\nAgent-friendly output:\n\n- Provenance — canvas-spilled results carry a `dataset.name` handle plus row count and expiry; `bls_search_series` echoes `effectiveQuery`, `catalogSize`, and whether the FTS candidate pool was `capped`\n- Graceful partial failure — `bls_get_latest` returns per-item `failed[]` (seriesId + error) alongside successful `results[]` instead of failing the whole batch; `bls_get_series` keeps valid series when another SeriesID in the same batch is invalid or empty\n- Discriminated outputs — every observation carries an `available` boolean for BLS's `-` missing-value sentinel, so callers branch on a typed field instead of parsing raw values\n- Actionable notices — `enrichment.notice` explains empty results, canvas spillover, and unavailable data with concrete next steps (e.g. using `bls_search_series` to verify a SeriesID)\n\n## Getting started\n\n### Public Hosted Instance\n\nA public instance is available at `https://bls-labor.caseyjhand.com/mcp` — no installation required. Point any MCP client at it via Streamable HTTP:\n\n```json\n{\n \"mcpServers\": {\n \"bls-labor-mcp-server\": {\n \"type\": \"streamable-http\",\n \"url\": \"https://bls-labor.caseyjhand.com/mcp\"\n }\n }\n}\n```\n\n### Self-Hosted / Local\n\nAdd the following to your MCP client configuration file. A free BLS API key unlocks 500 queries/day — register at [bls.gov/developers](https://www.bls.gov/developers/home.htm). The server works without a key at 25 req/day.\n\n```json\n{\n \"mcpServers\": {\n \"bls-labor-mcp-server\": {\n \"type\": \"stdio\",\n \"command\": \"bunx\",\n \"args\": [\"@cyanheads/bls-labor-mcp-server@latest\"],\n \"env\": {\n \"MCP_TRANSPORT_TYPE\": \"stdio\",\n \"MCP_LOG_LEVEL\": \"info\",\n \"BLS_API_KEY\": \"your-key-here\"\n }\n }\n }\n}\n```\n\nOr with npx (no Bun required):\n\n```json\n{\n \"mcpServers\": {\n \"bls-labor-mcp-server\": {\n \"type\": \"stdio\",\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@cyanheads/bls-labor-mcp-server@latest\"],\n \"env\": {\n \"MCP_TRANSPORT_TYPE\": \"stdio\",\n \"MCP_LOG_LEVEL\": \"info\",\n \"BLS_API_KEY\": \"your-key-here\"\n }\n }\n }\n}\n```\n\nOr with Docker:\n\n```json\n{\n \"mcpServers\": {\n \"bls-labor-mcp-server\": {\n \"type\": \"stdio\",\n \"command\": \"docker\",\n \"args\": [\"run\", \"-i\", \"--rm\", \"-e\", \"MCP_TRANSPORT_TYPE=stdio\", \"-e\", \"BLS_API_KEY=your-key-here\", \"ghcr.io/cyanheads/bls-labor-mcp-server:latest\"]\n }\n }\n}\n```\n\nFor Streamable HTTP, set the transport and start the server:\n\n```sh\nMCP_TRANSPORT_TYPE=http MCP_SESSION_MODE=stateless MCP_HTTP_PORT=3010 BLS_API_KEY=... bun run start:http\n# Server listens at http://localhost:3010/mcp\n```\n\n### Prerequisites\n\n- [Bun v1.4.0](https://bun.sh/) or higher (or Node.js v24+).\n- A free BLS API v2 key — register at [bls.gov/developers](https://www.bls.gov/developers/home.htm). Grants 500 queries/day; the server also works without a key at 25 req/day.\n\n### Installation\n\n1. **Clone the repository:**\n\n```sh\ngit clone https://github.com/cyanheads/bls-labor-mcp-server.git\n```\n\n2. **Navigate into the directory:**\n\n```sh\ncd bls-labor-mcp-server\n```\n\n3. **Install dependencies:**\n\n```sh\nbun install\n```\n\n4. **Configure environment:**\n\n```sh\ncp .env.example .env\n# edit .env and set BLS_API_KEY\n```\n\n## Configuration\n\nAll configuration is validated at startup via Zod schemas in `src/config/server-config.ts`.\n\n| Variable | Description | Default |\n|:---------|:------------|:--------|\n| `BLS_API_KEY` | BLS v2 API key. Optional — 25 req/day without, 500 req/day with. Register free at [bls.gov/developers](https://www.bls.gov/developers/home.htm). | — |\n| `BLS_BASE_URL` | BLS API v2 base URL. | `https://api.bls.gov/publicAPI/v2` |\n| `BLS_CATALOG_BASE_URL` | LABSTAT flat-file base URL. Override to point at a local mirror. | `https://download.bls.gov/pub/time.series` |\n| `BLS_CATALOG_DB_PATH` | On-disk SQLite catalog index — queried on demand and persisted across restarts. Empty uses an in-memory DB (re-harvested each boot). Mount a volume here in containers. | `.cache/bls-catalog.db` |\n| `BLS_CATALOG_CACHE_TTL_HOURS` | Catalog freshness window in hours — re-harvest once the index is older, checked at startup and hourly while running. | `168` (7 days) |\n| `BLS_CATALOG_INCLUDE_OES` | Include the OES/OEWS wage survey (~6M series / ~1.2 GB; multi-minute first harvest). Off by default — OES series stay fetchable by ID. | `false` |\n| `BLS_OBSERVATIONS_MIRROR_ENABLED` | Serve observations from a local SQLite mirror instead of the live API (requires a one-time bootstrap — see below). | `false` |\n| `BLS_DATASET_TTL_SECONDS` | Per-dataframe TTL for canvas-registered tables, in seconds. | `86400` (24 h) |\n| `BLS_DATAFRAME_DROP_ENABLED` | Expose `bls_dataframe_drop`. TTL handles cleanup by default. | `false` |\n| `CANVAS_PROVIDER_TYPE` | Set to `duckdb` to enable DataCanvas tabular spillover for large result sets. | `none` |\n| `MCP_TRANSPORT_TYPE` | Transport: `stdio` or `http`. | `stdio` |\n| `MCP_HTTP_PORT` | HTTP server port. | `3010` |\n| `MCP_SESSION_MODE` | Session mode. This server uses `stateless`; valid schema values are `auto`, `stateful`, and `stateless`. Schema-default `auto` resolves to `stateful`. | `stateless` |\n| `MCP_AUTH_MODE` | Auth mode: `none`, `jwt`, or `oauth`. | `none` |\n| `MCP_LOG_LEVEL` | Log level (RFC 5424). | `info` |\n| `LOGS_DIR` | Directory for log files (Node.js only). | `/logs` |\n| `OTEL_ENABLED` | Enable OpenTelemetry instrumentation. | `false` |\n| `OTEL_EXPORTER_OTLP_ENDPOINT` | Base OTLP URL for traces and metrics; signal-specific endpoints override it. | — |\n| `OTEL_EXPORTER_OTLP_LOGS_ENDPOINT` | Opt-in OTLP log endpoint. The base URL never enables log export. | — |\n| `LOG_TOOL_FAILURE_PAYLOADS` | Log failed-call arguments and results, redacted by key name; secrets in free-form values remain. | `false` |\n| `LOG_TOOL_FAILURE_PAYLOAD_MAX_BYTES` | UTF-8 byte cap per logged failure payload. | `16384` |\n\nSee [`.env.example`](./.env.example) for the full list of optional overrides.\n\n### Observation mirror (optional)\n\nFor high-volume workloads, an opt-in local mirror serves `bls_get_series` / `bls_get_latest` from an embedded SQLite store instead of the BLS API — eliminating the 500/day quota cap. It is off by default. To enable:\n\n1. Set `BLS_OBSERVATIONS_MIRROR_ENABLED=true` (and review the `BLS_OBSERVATIONS_MIRROR_*` vars in [`.env.example`](./.env.example)).\n2. Run the one-time bootstrap out-of-band — it downloads the full LABSTAT observation set and can take a while:\n\n ```sh\n node dist/services/bls-observations/subprocess.js --init\n ```\n\nThe mirror harvests every survey in the catalog's survey list — OE included, whatever `BLS_CATALOG_INCLUDE_OES` says — so it covers CM and CI too (about 55 MB of `cm.data.*` / `ci.data.*` files). An incremental refresh reads only files published after the mirror's last one, so a mirror bootstrapped before CM and CI joined picks each file up at its next BLS publication; until then those series come from the live API when fallback is on. Until the bootstrap completes, requests fall back to the live API (unless `BLS_OBSERVATIONS_MIRROR_FALLBACK_LIVE=false`). When a live fallback fails — quota exhausted, BLS unreachable — the series the mirror served are still returned, and `enrichment.notice` names each unserved SeriesID with the failure's reason and recovery. Mirror rows carry no BLS calculations: with `calculations: true`, a mirror-served series comes back without calculation fields, `enrichment.calculationsApplied` is `false`, and the notice names it. On HTTP transport, an incremental refresh runs on the `BLS_OBSERVATIONS_MIRROR_REFRESH_CRON` schedule. In containers, mount a persistent volume at `BLS_OBSERVATIONS_MIRROR_PATH`.\n\n**Upgrading an existing mirror.** A mirror bootstrapped before sentinel rows were stored is missing the periods BLS publishes with its `-` missing-value marker. Opening such a mirror clears its sync checkpoint once, so the next refresh re-reads every LABSTAT file and fills them in — no operator action beyond letting that refresh run, and it takes as long as a full read. The mirror keeps serving throughout.\n\n## Running the server\n\n### Local development\n\n- **Build and run:**\n\n ```sh\n # One-time build\n bun run rebuild\n\n # Run the built server\n bun run start:stdio\n # or\n bun run start:http\n ```\n\n- **Run checks and tests:**\n\n ```sh\n bun run devcheck # Lint, format, typecheck, security\n bun run test # Vitest test suite\n bun run lint:mcp # Validate MCP definitions against spec\n ```\n\n### Docker\n\n```sh\ndocker build -t bls-labor-mcp-server .\ndocker run --rm -e BLS_API_KEY=your-key -e MCP_TRANSPORT_TYPE=http -p 3010:3010 bls-labor-mcp-server\n```\n\nThe Dockerfile defaults to HTTP transport, stateless session mode, and logs to `/var/log/bls-labor-mcp-server`. OpenTelemetry peer dependencies are installed by default — build with `--build-arg OTEL_ENABLED=false` to omit them.\n\n## Project structure\n\n| Directory | Purpose |\n|:----------|:--------|\n| `src/index.ts` | `createApp()` entry point — registers tools and initializes services. |\n| `src/config` | Server-specific environment variable parsing and validation with Zod. |\n| `src/mcp-server/tools` | Tool definitions (`*.tool.ts`). |\n| `src/services/bls-api` | BLS API v2 service — batch fetch, latest-value GET, surveys metadata. |\n| `src/services/bls-catalog` | LABSTAT flat-file catalog — offline series index and search. |\n| `src/services/bls-observations` | Optional LABSTAT observation mirror — embedded SQLite store, ingester, and refresh subprocess. |\n| `src/services/bls-periods` | Annual-average period semantics (`M13`/`Q05`/`S03`) shared by the API and mirror paths. |\n| `src/services/canvas-bridge` | DataCanvas bridge — dataframe registration, SQL gate, lifecycle management. |\n| `docs/design.md` | Full tool surface specification, service architecture, and error contracts. |\n| `tests/` | Unit and integration tests mirroring `src/`. |\n\n## Development guide\n\nSee [`CLAUDE.md`](./CLAUDE.md) for development guidelines and architectural rules. The short version:\n\n- Handlers throw, framework catches — no `try/catch` in tool logic\n- Use `ctx.log` for request-scoped logging, `ctx.state` for tenant-scoped storage\n- `bls_search_series` is the anchor tool — design workflows to call it before the API tools\n- Wrap BLS API calls: validate raw → normalize to domain type → return output schema; never fabricate missing fields\n\n## Contributing\n\nIssues are welcome. Run checks and tests before submitting:\n\n```sh\nbun run devcheck\nbun run test\n```\n\n## License\n\nApache-2.0 — see [LICENSE](LICENSE) for details.\n","readmeFilename":"README.md"}