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\n

@cyanheads/eia-energy-mcp-server

\n

Browse and query the U.S. Energy Information Administration API v2 — electricity, petroleum, natural gas, coal, forecasts, and more via MCP. STDIO or Streamable HTTP.\n

4 core tools + 3 DataCanvas tools
\n

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\n\n**Public Hosted Server:** [https://eia-energy.caseyjhand.com/mcp](https://eia-energy.caseyjhand.com/mcp)\n\n
\n\n---\n\n## Overview\n\nEnergy data from the U.S. Energy Information Administration (EIA) API v2 — electricity, petroleum, natural gas, coal, and forecasts. Browse the dataset taxonomy, search it by natural language, and query time-series data with facet filters, then stage large result sets as a SQL-queryable DataCanvas table. 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| `eia_browse_routes` | Lists child routes under a path in the EIA dataset taxonomy; omit `path` for the 14 top-level categories. |\n| `eia_describe_route` | Returns a leaf route's facets, valid values, data columns, frequencies, and date range. |\n| `eia_search_routes` | Fuzzy text search across route names, descriptions, STEO series names, and facet values. |\n| `eia_query_route` | Fetches data from a leaf route with facet filters, date range, and column selection; optionally stages results for SQL. |\n| `eia_dataframe_describe` | Lists active DataCanvas dataframes staged by `eia_query_route`, with schema and provenance. |\n| `eia_dataframe_query` | Runs a read-only SQL SELECT against staged DataCanvas dataframes. |\n| `eia_dataframe_drop` | Drops a DataCanvas dataframe, freeing its memory. |\n\nThe three `eia_dataframe_*` tools are callable and listed by MCP only when `CANVAS_PROVIDER_TYPE=duckdb` is set; `eia_dataframe_drop` additionally requires `EIA_DATAFRAME_DROP_ENABLED=true`. Disabled definitions remain in the server manifest with their enable hints. A default deployment lists the first four tools.\n\n## Capability reference\n\nBrowse accepts `route` as an alias for `path`; describe and query accept `path` as an alias for `route`. Supplying both spellings is rejected. Leading, trailing, and repeated slashes are normalized.\n\n### `eia_browse_routes` tool\n\n- Omit `path` for the 14 top-level categories; pass a path to browse its children.\n- Each child carries `isLeaf`: describe and query leaves, or browse categories further. A missing path returns `route_not_found`.\n\n---\n\n### `eia_describe_route` tool\n\n- Pass a leaf `route` for facets, data columns, frequencies, and date range. Each facet window is capped at `EIA_FACET_VALUE_CAP` (default 50); page with `facet` and `values_offset`.\n- `value_count` and `values_truncated` describe each window. Errors distinguish `route_not_found`, `route_not_queryable`, `facet_not_found`, and retryable `rate_limited`.\n\n---\n\n### `eia_search_routes` tool\n\n- Search route names, descriptions, STEO's 1,469 series names, and facet values; `limit` defaults to 10 and caps at 30.\n- Matches carry `score` (0 exact, 1 no match) and may carry a `filter_hint` for `eia_query_route`. Scores above 0.72 are weak matches; check `indexComplete` and `indexGaps` before trusting a short result set.\n- The first search waits for the index to warm (normally 24–30 s, at most 45 s); later calls use the in-process index.\n\n---\n\n### `eia_query_route` tool\n\n- Pass a leaf `route`, with optional facet-ID `filters`, `columns`, `frequency`, `start`/`end`, and `sort`. Page with `offset` and `length` (default 100, max 5000).\n- `total` reports the full match count; values remain strings and units appear as `{col}-units`. Errors distinguish invalid route, facet, column, frequency, sort, or period, inverted ranges (`no_data`), and retryable `rate_limited`.\n- `stage: true` accumulates up to `EIA_CANVAS_MAX_ROWS` (default 25000) as a `dataset` handle for `eia_dataframe_query`; omitted, the call fetches one page.\n\n---\n\n### `eia_dataframe_describe` tool\n\n- Omit `name` to list active staged dataframes; pass a handle to inspect one. A miss returns `found: false` with `active_names`.\n- Entries carry `source_tool`, `query_params`, `created_at`, `expires_at`, `row_count`, `truncated`/`max_rows`, and `column_schema`. Listing does not extend expiry.\n\n---\n\n### `eia_dataframe_query` tool\n\n- Run one read-only SQL SELECT against staged handles. `row_limit` defaults to 1000 and caps at 10000; `preview` narrows the inline slice.\n- `truncated: true` means `totalRows` is the materialization cap, not a full count. `register_as` stages the complete result under an unused name with an exact count and fresh expiry.\n- Cast EIA VARCHAR values for arithmetic. Writes and system catalogs are rejected; declared failures include `missing_table`, `invalid_sql`, `non_select_statement`, `system_catalog_access`, and `register_as_clash`.\n\n---\n\n### `eia_dataframe_drop` tool\n\n- Pass `name` to remove a staged dataframe; requires `EIA_DATAFRAME_DROP_ENABLED=true`.\n- Returns `dropped: false` when nothing matched. Manual cleanup is optional: the default 24 h expiry extends whenever a query references the dataframe.\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\nEIA-specific:\n\n- Full coverage of EIA API v2's 14 top-level dataset categories, via an in-process route tree cache built once on first use\n- Fuzzy search index (Fuse.js) covers route names/descriptions, all 1,469 STEO series names, and facet values for natural-language discovery\n- Per-route facet metadata is fetched by fan-out (`Promise.all`) and cached, so `eia_query_route` filters are validated without re-fetching\n- A route whose metadata could not be fetched is held as an incomplete stub — reported through `eia_search_routes` rather than silently dropped — and re-fetched on the next `eia_browse_routes` call that reaches it\n- DataCanvas (DuckDB) staging is opt-in per call; a deployment without canvas omits the three dataframe tools from its callable MCP list\n\nAgent-friendly output:\n\n- Provenance — `eia_query_route` echoes the canonical, slash-normalized route rather than the caller's spelling, and every staged dataframe records its `source_tool` and `query_params`\n- Capped-window disclosure — every truncatable response (facet values, row previews, SQL row limits) reports the count against its cap and a `notice` naming the exact next call to page past it\n- Discriminated failure — typed error `reason` values (e.g. `route_not_queryable`, `invalid_facet`, `missing_table`) each carry a `recovery` hint naming the next tool call\n\n## Getting started\n\n### Public Hosted Instance\n\nA public instance is available at `https://eia-energy.caseyjhand.com/mcp` — no installation required. Point any MCP client at it via Streamable HTTP:\n\n```json\n{\n \"mcpServers\": {\n \"eia-energy-mcp-server\": {\n \"type\": \"streamable-http\",\n \"url\": \"https://eia-energy.caseyjhand.com/mcp\"\n }\n }\n}\n```\n\n### Self-Hosted / Local\n\nGet a free API key at [api.eia.gov](https://www.eia.gov/opendata/), then add the following to your MCP client configuration file.\n\n```json\n{\n \"mcpServers\": {\n \"eia-energy-mcp-server\": {\n \"type\": \"stdio\",\n \"command\": \"bunx\",\n \"args\": [\"@cyanheads/eia-energy-mcp-server@latest\"],\n \"env\": {\n \"MCP_TRANSPORT_TYPE\": \"stdio\",\n \"MCP_LOG_LEVEL\": \"info\",\n \"EIA_API_KEY\": \"your-api-key\"\n }\n }\n }\n}\n```\n\nOr with npx (no Bun required):\n\n```json\n{\n \"mcpServers\": {\n \"eia-energy-mcp-server\": {\n \"type\": \"stdio\",\n \"command\": \"npx\",\n \"args\": [\"-y\", \"@cyanheads/eia-energy-mcp-server@latest\"],\n \"env\": {\n \"MCP_TRANSPORT_TYPE\": \"stdio\",\n \"MCP_LOG_LEVEL\": \"info\",\n \"EIA_API_KEY\": \"your-api-key\"\n }\n }\n }\n}\n```\n\nOr with Docker:\n\n```json\n{\n \"mcpServers\": {\n \"eia-energy-mcp-server\": {\n \"type\": \"stdio\",\n \"command\": \"docker\",\n \"args\": [\n \"run\", \"-i\", \"--rm\",\n \"-e\", \"MCP_TRANSPORT_TYPE=stdio\",\n \"-e\", \"EIA_API_KEY=your-api-key\",\n \"ghcr.io/cyanheads/eia-energy-mcp-server:latest\"\n ]\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 EIA_API_KEY=your-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 EIA API key from [api.eia.gov](https://www.eia.gov/opendata/). The `DEMO_KEY` hits rate limits quickly; a real key is required for sustained use.\n\n### Installation\n\n1. **Clone the repository:**\n\n```sh\ngit clone https://github.com/cyanheads/eia-energy-mcp-server.git\n```\n\n2. **Navigate into the directory:**\n\n```sh\ncd eia-energy-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 required vars (at minimum, EIA_API_KEY)\n```\n\n## Configuration\n\nAll configuration is validated at startup via Zod schemas in `src/config/server-config.ts`. Key environment variables:\n\n| Variable | Description | Default |\n|:---------|:------------|:--------|\n| `EIA_API_KEY` | **Required.** Free API key from api.eia.gov — appended as `api_key` on every request. | — |\n| `EIA_BASE_URL` | EIA API base URL. | `https://api.eia.gov/v2` |\n| `EIA_DATASET_TTL_SECONDS` | Sliding per-dataframe TTL in seconds. The window is extended every time an `eia_dataframe_query` statement references the dataframe, so a dataframe stays alive through a long analysis and lapses only once it goes unused for the full interval. Listing it with `eia_dataframe_describe` is not use and does not extend it. | `86400` (24 h) |\n| `EIA_DATAFRAME_DROP_ENABLED` | Set to `true` to expose `eia_dataframe_drop`, which also requires `CANVAS_PROVIDER_TYPE=duckdb`. Off by default to avoid accidental canvas cleanup. | `false` |\n| `EIA_CANVAS_MAX_ROWS` | Cumulative row ceiling for `eia_query_route` canvas staging — five requests at EIA's 5,000-row-per-request ceiling, adding ~8.5 s to a call when it binds. Lower it for snappier exploration, raise it for wider staged analyses. | `25000` |\n| `EIA_FACET_VALUE_CAP` | Facet values `eia_describe_route` returns per facet before truncating. Bounds the response on high-cardinality facets — STEO's `seriesId` alone has 1,469 values. Page past it with the tool's `facet` and `values_offset` inputs. | `50` |\n| `CANVAS_PROVIDER_TYPE` | Set to `duckdb` to enable DataCanvas (Node only). Adds the three `eia_dataframe_*` tools to the surface and lets `eia_query_route` stage rows when called with `stage: true`. | — |\n| `MCP_TRANSPORT_TYPE` | Transport: `stdio` or `http`. | `stdio` |\n| `MCP_HTTP_PORT` | HTTP server port. | `3010` |\n| `MCP_HTTP_ENDPOINT_PATH` | HTTP endpoint path. | `/mcp` |\n| `MCP_SESSION_MODE` | HTTP sessions: `stateless`, `stateful`, or `auto` (framework schema default, resolves to `stateful`). This server defaults to `stateless`; an explicit environment value overrides it. | `stateless` |\n| `MCP_PUBLIC_URL` | Public origin override for TLS-terminating reverse-proxy deployments. | — |\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| `STORAGE_PROVIDER_TYPE` | Storage backend: `in-memory`, `filesystem`, `supabase`, `cloudflare-kv/r2/d1`. | `in-memory` |\n| `OTEL_ENABLED` | Enable OpenTelemetry instrumentation. | `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 eia-energy-mcp-server .\ndocker run --rm -e EIA_API_KEY=your-key -p 3010:3010 eia-energy-mcp-server\n```\n\nThe Dockerfile defaults to HTTP transport, stateless session mode, and logs to `/var/log/eia-energy-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 inits services. |\n| `src/config` | Server-specific environment variable parsing and validation with Zod. |\n| `src/mcp-server/tools` | Tool definitions (`*.tool.ts`) — browse, describe, search, query, and three DataCanvas dataframe tools. |\n| `src/services/eia` | EIA API v2 service — route tree cache, Fuse.js index, facet fan-out, HTTP client. |\n| `src/services/canvas-bridge` | DataCanvas bridge — registers EIA query results as DuckDB dataframes, routes SQL queries. |\n| `tests/` | Unit and integration tests mirroring `src/`. |\n| `docs/` | Design documents (`design.md`, `idea.md`). |\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- Always call `eia_describe_route` before `eia_query_route` — facet values require a separate API fan-out and are not embedded in route metadata\n- Wrap EIA responses: validate raw → normalize to domain type → return output schema; data values are strings — never coerce silently\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"}