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@cyanheads/bls-labor-mcp-server

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

7 Tools

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\n\n[![Version](https://img.shields.io/badge/Version-0.4.5-blue.svg?style=flat-square)](./CHANGELOG.md) [![License](https://img.shields.io/badge/License-Apache%202.0-orange.svg?style=flat-square)](./LICENSE) [![Docker](https://img.shields.io/badge/Docker-ghcr.io-2496ED?style=flat-square&logo=docker&logoColor=white)](https://github.com/users/cyanheads/packages/container/package/bls-labor-mcp-server) [![MCP SDK](https://img.shields.io/badge/MCP%20SDK-^1.29.0-green.svg?style=flat-square)](https://modelcontextprotocol.io/) [![npm](https://img.shields.io/npm/v/@cyanheads/bls-labor-mcp-server?style=flat-square&logo=npm&logoColor=white)](https://www.npmjs.com/package/@cyanheads/bls-labor-mcp-server) [![TypeScript](https://img.shields.io/badge/TypeScript-^6.0.3-3178C6.svg?style=flat-square)](https://www.typescriptlang.org/) [![Bun](https://img.shields.io/badge/Bun-v1.3.2-blueviolet.svg?style=flat-square)](https://bun.sh/)\n\n

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\n\n[![Install in Claude Desktop](https://img.shields.io/badge/Install_in-Claude_Desktop-D97757?style=for-the-badge&logo=anthropic&logoColor=white)](https://github.com/cyanheads/bls-labor-mcp-server/releases/latest/download/bls-labor-mcp-server.mcpb) [![Install in Cursor](https://cursor.com/deeplink/mcp-install-dark.svg)](https://cursor.com/en/install-mcp?name=bls-labor-mcp-server&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBjeWFuaGVhZHMvYmxzLWxhYm9yLW1jcC1zZXJ2ZXIiXSwiZW52Ijp7IkJMU19BUElfS0VZIjoieW91ci1hcGkta2V5In19) [![Install in VS Code](https://img.shields.io/badge/VS_Code-Install_Server-0098FF?style=for-the-badge&logo=visualstudiocode&logoColor=white)](https://vscode.dev/redirect?url=vscode:mcp/install?%7B%22name%22%3A%22bls-labor-mcp-server%22%2C%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40cyanheads%2Fbls-labor-mcp-server%22%5D%2C%22env%22%3A%7B%22BLS_API_KEY%22%3A%22your-api-key%22%7D%7D)\n\n[![Framework](https://img.shields.io/badge/Built%20on-@cyanheads/mcp--ts--core-67E8F9?style=flat-square)](https://www.npmjs.com/package/@cyanheads/mcp-ts-core)\n\n

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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## Tools\n\nSeven tools in two groups — four for BLS data access (survey discovery, SeriesID resolution, history, current values) and three for optional DataCanvas SQL analysis of large result sets:\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` — provenance, TTL, row count, column schema. Requires `CANVAS_PROVIDER_TYPE=duckdb`. |\n| `bls_dataframe_query` | Run a SELECT against canvas dataframes registered by `bls_get_series`. Supports JOINs, aggregates, window functions, CTEs. Requires `CANVAS_PROVIDER_TYPE=duckdb`. |\n| `bls_dataframe_drop` | Drop a canvas dataframe by name. Opt-in via `BLS_DATAFRAME_DROP_ENABLED=true`; TTL handles cleanup by default. Requires `CANVAS_PROVIDER_TYPE=duckdb`. |\n\n### `bls_list_surveys`\n\nList available BLS survey programs and their metadata.\n\n- Covers all major BLS programs: CPS, CES, CPI, PPI, JOLTS, LAUS, OEWS, ECEC, and others\n- Optional `category` filter (`prices`, `employment`, `wages`, `productivity`, `injuries`, `time_use`)\n- Returns survey codes, descriptions, and calculation-support flags (`allowsNetChange`, `allowsPercentChange`, `hasAnnualAverages`)\n- Backed by the live BLS surveys API with monthly caching; does not consume daily API quota\n\n---\n\n### `bls_search_series`\n\nThe entry point for most BLS workflows. Resolves human concepts to BLS SeriesIDs.\n\n- BLS identifiers like `LNS14000000` and `CES0000000001` encode survey + area + item + seasonal flag in opaque positional codes — this tool decodes them\n- Free-text and keyword search against the full BLS series catalog\n- Filter by survey code, geographic area (state name, MSA, or FIPS), and seasonal adjustment flag\n- Returns decoded series components (survey, area, item, seasonal flag) alongside the plain-language name\n- Operates entirely offline against LABSTAT flat files bundled at startup — no API quota consumed\n- Use before `bls_get_series` or `bls_get_latest` when you have a concept but not a SeriesID\n\n---\n\n### `bls_get_series`\n\nFetch historical time-series data for one or more BLS series.\n\n- Batch fetch up to 50 series per request (counts as one of the 500 daily API queries)\n- Optional `start_year` / `end_year` window (BLS caps history at 20 years per request)\n- Optional `calculations: true` for BLS-server-side net change and percent change — a survey returns whichever it supports (CPI/PPI return percent change only); check `bls_list_surveys` for per-survey support\n- Returns observations with series metadata (title, area, item, seasonality)\n- Spills to a DataCanvas dataframe when the observation count exceeds the inline context budget — response includes a `dataset.name` handle for SQL via `bls_dataframe_query`. Requires `CANVAS_PROVIDER_TYPE=duckdb`.\n\n---\n\n### `bls_get_latest`\n\nGet the current value for one or more BLS series.\n\n- Issues one GET per SeriesID (no batch-latest endpoint exists in BLS v2) — each counts as one of the 500 daily API queries\n- Recommended limit: ≤10 series per call; accepts up to 50\n- For \"current value\" across many series, `bls_get_series` with a narrow year window is more quota-efficient (one API query regardless of series count)\n- Partial success reporting — failed series are returned in a separate `failed[]` array alongside successful results\n\n---\n\n### `bls_dataframe_describe`\n\nInspect canvas dataframes registered by `bls_get_series`.\n\n- Lists all active dataframes for the current tenant: table name, source tool, query params, row count, column schema, TTL\n- Optionally describe a single dataframe by name\n- Lazy-sweeps expired entries before responding\n- Use before writing SQL to confirm column names\n\n---\n\n### `bls_dataframe_query`\n\nRun SQL against canvas dataframes registered by `bls_get_series`.\n\n- Read-only: writes, DDL, DROP, COPY, PRAGMA, ATTACH, and external-file table functions are rejected\n- Supports JOINs, aggregates, window functions, and CTEs\n- Optional `register_as` persists the query result as a new named dataframe with a fresh TTL — useful for chaining analyses without re-consuming BLS API quota\n- Inline row cap: 1,000 rows by default (max 10,000); full results live on-canvas when `register_as` is set\n- Zero BLS API quota consumed\n\n---\n\n### `bls_dataframe_drop`\n\nDrop a canvas dataframe by name. Idempotent — returns `dropped: false` when nothing matched.\n\n- Use to free canvas resources ahead of the per-table TTL when an analysis is complete\n- Must be explicitly enabled via `BLS_DATAFRAME_DROP_ENABLED=true` (TTL handles cleanup by default)\n\n## Features\n\nBuilt on [`@cyanheads/mcp-ts-core`](https://www.npmjs.com/package/@cyanheads/mcp-ts-core):\n\n- Declarative tool definitions — single file per tool, framework handles registration and validation\n- Unified error handling across all tools\n- Pluggable auth (`none`, `jwt`, `oauth`)\n- Swappable storage backends: `in-memory`, `filesystem`, `Supabase`, `Cloudflare KV/R2/D1`\n- Structured logging with optional OpenTelemetry tracing\n- STDIO and Streamable HTTP transports\n\nBLS-specific:\n\n- BLS API v2 integration with retry/backoff and daily quota tracking\n- Offline series catalog search against LABSTAT flat files — zero API quota for discovery\n- Typed error contracts for BLS-specific failure modes: quota exhaustion, locked database, calculations not supported\n- Period-over-period calculations via BLS server-side flag (consistent with BLS published numbers)\n- DataCanvas spillover (DuckDB) for large multi-series result sets — SQL access without re-querying the API\n- Optional local observation mirror — sync LABSTAT bulk data into an embedded SQLite store to serve `bls_get_series` / `bls_get_latest` without the 500/day API cap (opt-in, off by default)\n- On-disk SQLite catalog index — the series catalog is parsed into an FTS5 SQLite store, queried on demand (not held in memory) and persisted across restarts; the OES/OEWS wage survey (~6M series) is opt-in via `BLS_CATALOG_INCLUDE_OES`\n\n## Getting started\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_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 v1.3.2](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-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. | `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_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\nSee [`.env.example`](https://github.com/cyanheads/bls-labor-mcp-server/blob/main/.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`](https://github.com/cyanheads/bls-labor-mcp-server/blob/main/.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\nUntil the bootstrap completes, requests fall back to the live API (unless `BLS_OBSERVATIONS_MIRROR_FALLBACK_LIVE=false`). 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## 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/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`](https://github.com/cyanheads/bls-labor-mcp-server/blob/main/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 and pull requests 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](https://github.com/cyanheads/bls-labor-mcp-server/blob/main/LICENSE) for details.\n","changelogMarkdown","videoKey","requiredSecretsJson","publishedAt","priceCents","trialDays",0,"categoryDisplayName","Data & Analytics","upstream",{"_98":99,"_100":101,"_102":103,"_104":105,"_106":107},"requiredSecrets",[],"tags",[],"assets",[],"stats",{"_96":83,"_97":83},"ratingAvg","reviewCount","topics",[108,109,110,111,19,112,113,114,115,116,117,118,119,120,121,122],"license","NOASSERTION","language","TypeScript","registryName","io.github.cyanheads/bls-labor-mcp-server","homepage","https://www.npmjs.com/package/@cyanheads/bls-labor-mcp-server","bls","bun","bureau-of-labor-statistics","cpi","economics","jolts","labor-market","mcp","mcp-server","model-context-protocol","ppi","time-series","typescript","unemployment","wages","ENV",{"_125":126,"_127":128,"_129":130},"ENVIRONMENT","production","TURNSTILE_SITE_KEY","0x4AAAAAAB8-rEI2gNDf_QhU","SENTRY_DSN","https://45fd1229f78089d5c3ee78be128030e1@o4510583261757440.ingest.de.sentry.io/4510584253448272"]