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\n

@cyanheads/usgs-water-mcp-server

\n

Query real-time and historical water data from ~8,000 USGS stream gages and groundwater wells via MCP. STDIO or Streamable HTTP.\n

8 Tools • 2 Resources
\n

\n
\n\n
\n\n[![Version](https://img.shields.io/badge/Version-0.3.0-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/usgs-water-mcp-server) [![MCP SDK](https://img.shields.io/badge/MCP%20SDK-^2.2.0-green.svg?style=flat-square)](https://modelcontextprotocol.io/) [![npm](https://img.shields.io/npm/v/@cyanheads/usgs-water-mcp-server?style=flat-square&logo=npm&logoColor=white)](https://www.npmjs.com/package/@cyanheads/usgs-water-mcp-server) [![TypeScript](https://img.shields.io/badge/TypeScript-^7.0.2-3178C6.svg?style=flat-square)](https://www.typescriptlang.org/) [![Bun](https://img.shields.io/badge/Bun-v1.4.2-blueviolet.svg?style=flat-square)](https://bun.sh/)\n\n
\n\n
\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/usgs-water-mcp-server/releases/latest/download/usgs-water-mcp-server.mcpb) [![Install in Cursor](https://cursor.com/deeplink/mcp-install-dark.svg)](https://cursor.com/en/install-mcp?name=usgs-water-mcp-server&config=eyJjb21tYW5kIjoibnB4IiwiYXJncyI6WyIteSIsIkBjeWFuaGVhZHMvdXNncy13YXRlci1tY3Atc2VydmVyIl19) [![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%22usgs-water-mcp-server%22%2C%22command%22%3A%22npx%22%2C%22args%22%3A%5B%22-y%22%2C%22%40cyanheads%2Fusgs-water-mcp-server%22%5D%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
\n\n
\n\n**Public Hosted Server:** [https://usgs-water.caseyjhand.com/mcp](https://usgs-water.caseyjhand.com/mcp)\n\n
\n\n---\n\n## Overview\n\nUSGS NWIS water data — ~8,000 active stream gages and groundwater wells across the US and territories. Find monitoring sites, pull the latest readings or a historical time series, and rank current conditions against decades of percentile records from any MCP client. 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| `water_list_parameters` | List well-known USGS parameter codes with names, units, and domain (no network call), or search the full ~19,600-code USGS catalog by name or description. |\n| `water_find_sites` | Find USGS monitoring sites by bounding box, state, county, or HUC watershed. Filter by site type and parameter availability. Large match sets spill to DataCanvas. |\n| `water_get_readings` | Get the latest instantaneous values (~15 min real-time) for up to 100 USGS sites. |\n| `water_get_series` | Get a time series of daily or instantaneous values for a site over a date range. Large ranges spill to DataCanvas. |\n| `water_get_conditions` | Get current hydrologic conditions ranked against the full period-of-record percentile statistics. |\n| `water_dataframe_describe` | List tables and columns staged on a DataCanvas by `water_get_series` or `water_find_sites`. |\n| `water_dataframe_query` | Run a read-only SQL SELECT against the time-series and site tables staged by `water_get_series` and `water_find_sites`. |\n| `water_dataframe_drop` | Drop one staged table from a DataCanvas, leaving the canvas and its other tables in place. Opt-in via `WATER_DATAFRAME_DROP_ENABLED`. |\n\n### Resources\n\n| Resource | Description |\n|:---|:---|\n| `usgs-water://site/{siteId}` | Site metadata: name, coordinates, type, HUC, state, county, drainage area, and altitude |\n| `usgs-water://parameters` | Curated well-known parameter codes (the list `water_list_parameters` returns without a query) |\n\nAll resource data is also reachable via tools. Use `water_find_sites` for geographic site discovery.\n\n## Capability reference\n\n### `water_list_parameters` tool\n\n- Without `query`: the curated, built-in list — no network call — of codes like `00060` (Discharge, ft³/s), `00065` (Gage height, ft), and `72019` (Depth to water level, ft), filtered by `group` (`streamflow`, `groundwater`, `temperature`, `meteorological`, `water-quality`, or `all`, the default)\n- With `query`: searches the full ~19,600-code USGS catalog by name or description (a bare 5-digit code returns that code) and returns at most 25 entries, each naming its `source` (`curated` or `usgs-catalog`), with `total` and `truncated` covering the full match set. `query` can't be combined with a `group` other than `all`\n- The catalog is fetched on the first query and cached for 24 hours; a failed fetch fails as a retryable `upstream_error`\n\n---\n\n### `water_find_sites` tool\n\n- Exactly one geographic scope per call — `bbox` (`\"west,south,east,north\"`), 2-letter `stateCd`, up to 20 comma-separated 5-digit FIPS `countyCd` codes, or a 2- or 8-digit `huc` — narrowed by `siteType` (`ST`, `GW`, `LK`, `SP`, …), `parameterCd`, and `hasDataTypeCd` (`iv` / `dv` / `gw`). A missing or doubled scope fails as `missing_major_filter` / `conflicting_major_filters` before any NWIS call\n- `limit` (1–500, default 500) and `offset` page through the match set, with `truncated` and `upstreamTotal` describing what lies outside the window; `siteOutput: expanded` adds drainage and contributing area\n- With `CANVAS_PROVIDER_TYPE=duckdb`, a match set over 500 sites also stages in full to a canvas (`canvas_id` / `table_name`) for `water_dataframe_query`\n\n---\n\n### `water_get_readings` tool\n\n- Up to 100 `sites` per call, an optional `parameterCd` filter, and a `period` lookback (ISO 8601, default `PT2H`); returns one series per site, parameter, and sensor method (`methodId` / `methodDescription`), capped at 100 series per call (kept round-robin across sites) and the 10 most recent records per series, with `totalSeries`, `totalValues`, and `truncated` reporting what the caps held back\n- Every value carries its qualifier codes (`P` provisional, `A` approved), and sites NWIS returned nothing for are named in `missingSites`\n\n---\n\n### `water_get_series` tool\n\n- One `site` and `parameterCd` per call over a `startDate`–`endDate` range; `seriesType` is `daily` (one value per day, the default) or `instantaneous` (~15 min). The most recent 500 records return inline, with `totalRecords` and `truncated` reporting the rest\n- Returns one named series — by default the daily mean and the sensor method with the most records; `statCd` (`00003` mean, `00001` maximum, `00002` minimum; daily only) and `methodId` select another, and `otherSeries` lists every alternative with its record count\n- With `CANVAS_PROVIDER_TYPE=duckdb`, a range over 500 records spills the complete series to a canvas (`canvas_id` / `table_name`); pass a prior `canvas_id` to add the table to an existing canvas\n\n---\n\n### `water_get_conditions` tool\n\n- One `site` and `parameterCd`; ranks the current instantaneous reading against the period-of-record daily-mean percentiles for its calendar day as a `percentileClass` — `record-high` (≥p95), `above-normal`, `normal`, `below-normal`, `low`, `record-low` (tool\n\n- Lists the tables staged on a canvas by `water_get_series` or `water_find_sites`, with each column's name, DuckDB type, and nullability — call it before `water_dataframe_query` or `water_dataframe_drop` to confirm the exact names\n- `row_count` is a DuckDB estimate and may differ from the exact count\n\n---\n\n### `water_dataframe_query` tool\n\n- A single read-only `SELECT` against the staged tables; other statements and system-catalog access (`information_schema`, `pg_catalog`, `duckdb_*`) are rejected\n- Capped at 10,000 rows per query; `truncated: true` signals more matched — narrow with `WHERE`/`LIMIT`, or run `SELECT COUNT(*)` for the true total\n\n---\n\n### `water_dataframe_drop` tool\n\n- Removes one staged table by `table_name` (matched case-insensitively) from the canvas named by `canvas_id`; the canvas and its other tables stay, and the response reports the dropped table's `row_count` and the `remaining_tables`\n- A name not staged on the canvas fails as `table_not_found` and changes nothing, so a repeated drop is safe\n- Opt-in: callable only with `WATER_DATAFRAME_DROP_ENABLED=true`; otherwise it appears on the landing page as a disabled tool and is absent from `tools/list`. Like the other dataframe tools, it needs `CANVAS_PROVIDER_TYPE=duckdb`\n\n---\n\n### `usgs-water://site/{siteId}` resource\n\n- Returns `application/json` site metadata: name, coordinates, type, HUC watershed code, state, county, drainage area, and altitude\n- `siteId` is an 8–15 digit USGS site number — discover one via `water_find_sites`\n\n---\n\n### `usgs-water://parameters` resource\n\n- The curated table of well-known parameter codes as `application/json` — the list `water_list_parameters` returns without a query\n- Takes no parameters; a curated subset of the USGS catalog — search the rest with `water_list_parameters` `query`\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\nUSGS Water-specific:\n\n- Wraps NWIS IV (instantaneous), DV (daily), site, and stat endpoints plus the USGS Water Data parameter-code catalog — no API key required, fully public\n- Input formats are checked at the edge against what NWIS actually accepts — site numbers, parameter codes, ISO 8601 periods, HUC, FIPS county, state, and bbox each carry a validated pattern advertised in the tool's JSON Schema\n- HTML error detection: NWIS returns 400 with an HTML body for bad input, and the service layer extracts NWIS's own message and maps it to a typed failure\n- DataCanvas spillover: `water_get_series` (long date ranges) and `water_find_sites` (match sets past the 500-site cap) stage the full result as a DuckDB-backed table, queryable via `water_dataframe_query`; the spillover and the dataframe tools require `CANVAS_PROVIDER_TYPE=duckdb`, and `water_dataframe_drop` also needs `WATER_DATAFRAME_DROP_ENABLED=true`\n- No-data readings stay no-data: a value NWIS reports as `-999999` (a seasonal, discontinued, dry, or malfunctioning gage) returns as an empty `value` with qualifiers naming why (`Ssn`, `Dis`, `Dry`, `Eqp`) — never as a magnitude — and stages as `NULL` on a canvas\n- Groundwater depth reads through the standard IV service via parameter `72019` — the legacy `gwlevels` endpoint was decommissioned November 2025\n\nAgent-friendly output:\n\n- Percentile classification: `water_get_conditions` returns a `percentileClass` callers can act on directly, paired with a `percentileLabel` that states the threshold in plain language\n- Partial success over hard failure: `water_get_readings` returns the series it got and names the rest in `missingSites`; `water_get_conditions` separates an empty stat table (`no_record` / `no_matching_day`) from a failed stat call (`unavailable`, transient) instead of collapsing both into one error\n- Truncation signals: every capped response (`water_get_series`, `water_find_sites`, `water_get_readings`) reports its own count and a `truncated` flag, plus `canvas_id` / `table_name` when the rest is retrievable via SQL\n- Structured content and rendered text agree — every cap and count a tool applies appears identically in `structuredContent` and in the markdown\n\n## Getting started\n\n### Public Hosted Instance\n\nA public instance is available at `https://usgs-water.caseyjhand.com/mcp` — no installation required. Point any MCP client at it via Streamable HTTP:\n\n```json\n{\n \"mcpServers\": {\n \"usgs-water-mcp-server\": {\n \"type\": \"streamable-http\",\n \"url\": \"https://usgs-water.caseyjhand.com/mcp\"\n }\n }\n}\n```\n\n### Self-Hosted / Local\n\nAdd the following to your MCP client configuration file.\n\n```json\n{\n \"mcpServers\": {\n \"usgs-water-mcp-server\": {\n \"type\": \"stdio\",\n \"command\": \"bunx\",\n \"args\": [\"@cyanheads/usgs-water-mcp-server@latest\"],\n \"env\": {\n \"MCP_TRANSPORT_TYPE\": \"stdio\",\n \"MCP_LOG_LEVEL\": \"info\"\n }\n }\n }\n}\n```\n\nOr with npx (no Bun required):\n\n```json\n{\n \"mcpServers\": {\n \"usgs-water-mcp-server\": {\n \"type\": \"stdio\",\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@cyanheads/usgs-water-mcp-server@latest\"],\n \"env\": {\n \"MCP_TRANSPORT_TYPE\": \"stdio\",\n \"MCP_LOG_LEVEL\": \"info\"\n }\n }\n }\n}\n```\n\nOr with Docker:\n\n```json\n{\n \"mcpServers\": {\n \"usgs-water-mcp-server\": {\n \"type\": \"stdio\",\n \"command\": \"docker\",\n \"args\": [\n \"run\", \"-i\", \"--rm\",\n \"-e\", \"MCP_TRANSPORT_TYPE=stdio\",\n \"ghcr.io/cyanheads/usgs-water-mcp-server:latest\"\n ]\n }\n }\n}\n```\n\nTo enable DataCanvas for SQL analytics over large result sets (time series and site match sets), add `CANVAS_PROVIDER_TYPE=duckdb` to the `env` block in any of the configs above.\n\nFor Streamable HTTP, set the transport and start the server:\n\n```sh\nMCP_TRANSPORT_TYPE=http MCP_HTTP_PORT=3010 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- No API key required — USGS NWIS is a free, public API.\n\n### Installation\n\n1. **Clone the repository:**\n\n```sh\ngit clone https://github.com/cyanheads/usgs-water-mcp-server.git\n```\n\n2. **Navigate into the directory:**\n\n```sh\ncd usgs-water-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 to set any optional overrides\n```\n\n## Configuration\n\n| Variable | Description | Default |\n|:---------|:------------|:--------|\n| `CANVAS_PROVIDER_TYPE` | Set to `duckdb` to enable DataCanvas spillover for large results from `water_get_series` and `water_find_sites`. | — |\n| `USGS_USER_AGENT` | Custom User-Agent string sent to USGS — NWIS and the parameter-code catalog. USGS requests a descriptive User-Agent per their terms. | `usgs-water-mcp-server/0.3.0 (contact: https://github.com/cyanheads/usgs-water-mcp-server)` |\n| `USGS_REQUEST_TIMEOUT_MS` | HTTP request timeout in milliseconds for USGS calls — NWIS and the parameter-code catalog. | `30000` |\n| `WATER_DATAFRAME_DROP_ENABLED` | Set to `true` to make `water_dataframe_drop` callable. Off, the tool is listed as disabled. Needs `CANVAS_PROVIDER_TYPE=duckdb` to have anything to drop. | `false` |\n| `MCP_TRANSPORT_TYPE` | Transport: `stdio` or `http`. | `stdio` |\n| `MCP_HTTP_PORT` | Port for HTTP server. | `3010` |\n| `MCP_SESSION_MODE` | HTTP session mode. The server declares `stateless` in code, matching `.env.example` and the Docker runtime; setting this overrides that, and `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| `LOG_TOOL_FAILURE_PAYLOADS` | Log each failed tool call's arguments and result, redacted by key name and capped at `LOG_TOOL_FAILURE_PAYLOAD_MAX_BYTES` (default `16384`). A secret inside a free-form value is not redacted. | `false` |\n| `OTEL_ENABLED` | Enable [OpenTelemetry instrumentation](https://github.com/cyanheads/mcp-ts-core/tree/main/docs/telemetry) (spans, metrics, completion logs). | `false` |\n\nSee [`.env.example`](./.env.example) for the full list of optional overrides.\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 usgs-water-mcp-server .\ndocker run --rm -p 3010:3010 usgs-water-mcp-server\n```\n\nThe Dockerfile defaults to HTTP transport, stateless session mode, and logs to `/var/log/usgs-water-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/resources and inits services. |\n| `src/config` | Server-specific environment variable parsing and validation with Zod. |\n| `src/mcp-server/tools` | Tool definitions (`*.tool.ts`). |\n| `src/mcp-server/resources` | Resource definitions (`*.resource.ts`). |\n| `src/services/nwis` | NWIS HTTP client — IV, DV, site, and stat endpoints with HTML error detection. |\n| `src/services/waterdata` | USGS Water Data parameter-code catalog reader (24-hour cache) and the curated parameter table. |\n| `src/services/canvas` | DataCanvas accessor, caller-supplied `canvas_id` resolution, and deterministic table names for DuckDB-backed spillover. |\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- Register new tools and resources via the barrels in `src/mcp-server/*/definitions/index.ts`\n- Wrap external 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"}