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8 clients · secrets stay placeholders

JSON (mcpServers)Claude CodeCodexOpenCodeCursorVS CodeGemini CLIGoose

{
  "mcpServers": {
    "entsoe-mcp": {
      "type": "http",
      "url": "https://entsoemcp.com/mcp"
    }
  }
}

claude mcp add --transport http entsoe-mcp https://entsoemcp.com/mcp

[mcp_servers.entsoe-mcp]
url = "https://entsoemcp.com/mcp"

{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "entsoe-mcp": {
      "type": "remote",
      "url": "https://entsoemcp.com/mcp",
      "enabled": true
    }
  }
}

{
  "mcpServers": {
    "entsoe-mcp": {
      "type": "http",
      "url": "https://entsoemcp.com/mcp"
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=entsoe-mcp&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vZW50c29lbWNwLmNvbS9tY3AifQ%3D%3D"
}

{
  "servers": {
    "entsoe-mcp": {
      "type": "http",
      "url": "https://entsoemcp.com/mcp"
    }
  }
}

{
  "mcpServers": {
    "entsoe-mcp": {
      "httpUrl": "https://entsoemcp.com/mcp"
    }
  }
}

extensions:
  "entsoe-mcp":
    enabled: true
    name: "entsoe-mcp"
    type: streamable_http
    uri: "https://entsoemcp.com/mcp"
    timeout: 300

Quality 88 / 100good

protocol75 · weight 25

warn
protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
n/a
protocol.statelessonly applies to 2026-07-28 servers
pass
protocol.transportstreamable HTTP
n/a
protocol.list_ttlonly applies to 2026-07-28 servers

authorizationn/a · weight 15

n/a
auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
n/a
auth.secret_in_urlno templated URL

tool hygiene93 · weight 30

pass
tools.descriptionsevery tool has a description
warn
tools.description_length2 tools have descriptions over 1,024 characters, which crowds the context
pass
tools.schemasevery tool has an object input schema
pass
tools.annotations14 of 14 tools declare readOnlyHint or destructiveHint
pass
tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
pass
tools.token_costabout 4,230 tokens to load every tool
pass
tools.api_dumptools are not a one-to-one API dump

stability100 · weight 15

pass
stability.changes5 tool changes in 30 days
pass
stability.rug_pullno tool changed its meaning under the same name

dependenciesn/a · weight 15

n/a
deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

14 tools, about 4,230 tokens to load them all · tool set f3a89e00e053 · tools last changed 2026-10-19 · checked 2026-10-19 15:15 UTC

Tool changes

2026-10-19get_serieschangeddescription
before
Generic time-series query for ANY registered series endpoint. One tool covers every (non-outage) endpoint in the registry, so adding a new dataset (call `list_endpoints()` to see the current 14) gets an MCP surface automatically — no new tool to learn. Argument shape adapts to the endpoint: • single-zone (day_ahead_price, actual_load, generation_per_type, …) → pass `zone="DE_LU"` • cross-zone (crossborder_flow, scheduled_exchanges, net_transfer_capacity_dayahead) → pass `from_zone="DE_LU"` AND `to_zone="FR"` • psr-dependent (generation_per_type, wind_solar_forecast, installed_generation_capacity) → optionally filter via `psr_types=["solar","wind_onshore"]` `start`/`end`: UTC by default; `start` inclusive, `end` EXCLUSIVE (for "all of April 2026" use end=2026-05-01). Pass `tz="local"` or an IANA name to interpret as wall-clock in that timezone. `aggregation`: 'raw' (default — native PT15M/PT60M per endpoint), 'hourly' (AVG over quarters → one row per hour, useful for the growing list of PT15M-stored endpoints like DE_LU day_ahead_price), 'daily', or 'monthly'. For day-ahead prices specifically the auction still clears hourly even where stored at PT15M, so AVG=any-quarter; SUM would 4× over-count. Currency: price columns keep `_eur_` in their names for stability. An endpoint whose rows carry a `currency` column (day-ahead and intraday prices, the A81/A15 capacity prices, activated_balancing_price, imbalance_prices) labels each row (PLN, HUF, RON, CZK, GBP, …) and the response `unit` follows it; `unit` is null when the window mixes currencies (`mixed_currency`) or, for activated_balancing_price and imbalance_prices, holds rows of unknown currency (`currency_unknown_rows`). Never average a price across rows with different `currency`. Split periods: when a response carries `split_periods`, some periods hold more than one row — different published series told apart by the listed columns (activated_balancing_price: `product`, e.g. CZ/SK mFRR standard A01 vs specific A02; or `currency`). Never average across them. Keep one with `filters={"product": ["A01"]}` — `filters` takes any categorical column of the endpoint (`{column: [values]}`). Process types: activated balancing prices are one endpoint per ENTSO-E processType (activated_balancing_price = A16 realised; _mfrr_scheduled = A60, _mfrr_direct = A61, _afrr_local = A68) — different prices for the same period, never to be merged. `related_series` names the siblings holding data for the zone; `stored_provenance` marks stored rows that still hold another process type's prices. Outage-family endpoints (different schema) stay on `get_outages()`.
after · 98% of words in common
Generic time-series query for ANY registered series endpoint. One tool covers every (non-outage) endpoint in the registry, so adding a new dataset (call `list_endpoints()` to see the current 14) gets an MCP surface automatically — no new tool to learn. Argument shape adapts to the endpoint: • single-zone (day_ahead_price, actual_load, generation_per_type, …) → pass `zone="DE_LU"` • cross-zone (crossborder_flow, scheduled_exchanges, net_transfer_capacity_dayahead) → pass `from_zone="DE_LU"` AND `to_zone="FR"` • psr-dependent (generation_per_type, wind_solar_forecast, installed_generation_capacity) → optionally filter via `psr_types=["solar","wind_onshore"]` `start`/`end`: UTC by default; `start` inclusive, `end` EXCLUSIVE (for "all of April 2026" use end=2026-05-01). Pass `tz="local"` or an IANA name to interpret as wall-clock in that timezone. `aggregation`: 'raw' (default — native PT15M/PT60M per endpoint), 'hourly' (AVG over quarters → one row per hour, useful for the growing list of PT15M-stored endpoints like DE_LU day_ahead_price), 'daily', or 'monthly'. For day-ahead prices specifically the auction still clears hourly even where stored at PT15M, so AVG=any-quarter; SUM would 4× over-count. Currency: price columns keep `_eur_` in their names for stability. An endpoint whose rows carry a `currency` column (day-ahead and intraday prices, the A81/A15 capacity prices, activated_balancing_price, imbalance_prices) labels each row (PLN, HUF, RON, CZK, GBP, …) and the response `unit` follows it; `unit` is null when the window mixes currencies (`mixed_currency`) or, for activated_balancing_price and imbalance_prices, holds rows of unknown currency (`currency_unknown_rows`). Never average a price across rows with different `currency`. Split periods: when a response carries `split_periods`, some periods hold more than one row — different published series told apart by the listed columns (activated_balancing_price: `product`, e.g. CZ/SK mFRR standard A01 vs specific A02; or `currency`). Never average across them. Keep one with `filters={"product": ["A01"]}` — `filters` takes any categorical column of the endpoint (`{column: [values]}`). Process types: activated balancing prices are one endpoint per ENTSO-E processType (activated_balancing_price = A16 realised; _mfrr_scheduled = A60, _mfrr_direct = A61, _afrr_local = A68) — different prices for the same period, never to be merged. `related_series` names the siblings holding data for the zone. Outage-family endpoints (different schema) stay on `get_outages()`.
2026-10-17get_serieschangeddescription
before
Generic time-series query for ANY registered series endpoint. One tool covers every (non-outage) endpoint in the registry, so adding a new dataset (call `list_endpoints()` to see the current 14) gets an MCP surface automatically — no new tool to learn. Argument shape adapts to the endpoint: • single-zone (day_ahead_price, actual_load, generation_per_type, …) → pass `zone="DE_LU"` • cross-zone (crossborder_flow, scheduled_exchanges, net_transfer_capacity_dayahead) → pass `from_zone="DE_LU"` AND `to_zone="FR"` • psr-dependent (generation_per_type, wind_solar_forecast, installed_generation_capacity) → optionally filter via `psr_types=["solar","wind_onshore"]` `start`/`end`: UTC by default; `start` inclusive, `end` EXCLUSIVE (for "all of April 2026" use end=2026-05-01). Pass `tz="local"` or an IANA name to interpret as wall-clock in that timezone. `aggregation`: 'raw' (default — native PT15M/PT60M per endpoint), 'hourly' (AVG over quarters → one row per hour, useful for the growing list of PT15M-stored endpoints like DE_LU day_ahead_price), 'daily', or 'monthly'. For day-ahead prices specifically the auction still clears hourly even where stored at PT15M, so AVG=any-quarter; SUM would 4× over-count. Currency: price columns keep `_eur_` in their names for stability. An endpoint whose rows carry a `currency` column (day-ahead and intraday prices, the A81/A15 capacity prices, activated_balancing_price, imbalance_prices) labels each row (PLN, HUF, RON, CZK, GBP, …) and the response `unit` follows it; `unit` is null when the window mixes currencies (`mixed_currency`) or, for activated_balancing_price and imbalance_prices, holds rows of unknown currency (`currency_unknown_rows`). Never average a price across rows with different `currency`. Split periods: when a response carries `split_periods`, some periods hold more than one row — different published series told apart by the listed columns (activated_balancing_price: `product`, e.g. CZ/SK mFRR standard A01 vs specific A02; or `currency`). Never average across them. Keep one with `filters={"product": ["A01"]}` — `filters` takes any categorical column of the endpoint (`{column: [values]}`). Outage-family endpoints (different schema) stay on `get_outages()`.
after · 90% of words in common
Generic time-series query for ANY registered series endpoint. One tool covers every (non-outage) endpoint in the registry, so adding a new dataset (call `list_endpoints()` to see the current 14) gets an MCP surface automatically — no new tool to learn. Argument shape adapts to the endpoint: • single-zone (day_ahead_price, actual_load, generation_per_type, …) → pass `zone="DE_LU"` • cross-zone (crossborder_flow, scheduled_exchanges, net_transfer_capacity_dayahead) → pass `from_zone="DE_LU"` AND `to_zone="FR"` • psr-dependent (generation_per_type, wind_solar_forecast, installed_generation_capacity) → optionally filter via `psr_types=["solar","wind_onshore"]` `start`/`end`: UTC by default; `start` inclusive, `end` EXCLUSIVE (for "all of April 2026" use end=2026-05-01). Pass `tz="local"` or an IANA name to interpret as wall-clock in that timezone. `aggregation`: 'raw' (default — native PT15M/PT60M per endpoint), 'hourly' (AVG over quarters → one row per hour, useful for the growing list of PT15M-stored endpoints like DE_LU day_ahead_price), 'daily', or 'monthly'. For day-ahead prices specifically the auction still clears hourly even where stored at PT15M, so AVG=any-quarter; SUM would 4× over-count. Currency: price columns keep `_eur_` in their names for stability. An endpoint whose rows carry a `currency` column (day-ahead and intraday prices, the A81/A15 capacity prices, activated_balancing_price, imbalance_prices) labels each row (PLN, HUF, RON, CZK, GBP, …) and the response `unit` follows it; `unit` is null when the window mixes currencies (`mixed_currency`) or, for activated_balancing_price and imbalance_prices, holds rows of unknown currency (`currency_unknown_rows`). Never average a price across rows with different `currency`. Split periods: when a response carries `split_periods`, some periods hold more than one row — different published series told apart by the listed columns (activated_balancing_price: `product`, e.g. CZ/SK mFRR standard A01 vs specific A02; or `currency`). Never average across them. Keep one with `filters={"product": ["A01"]}` — `filters` takes any categorical column of the endpoint (`{column: [values]}`). Process types: activated balancing prices are one endpoint per ENTSO-E processType (activated_balancing_price = A16 realised; _mfrr_scheduled = A60, _mfrr_direct = A61, _afrr_local = A68) — different prices for the same period, never to be merged. `related_series` names the siblings holding data for the zone; `stored_provenance` marks stored rows that still hold another process type's prices. Outage-family endpoints (different schema) stay on `get_outages()`.
2026-10-15compare_zoneschangeddescription, input schema
before
Compare one endpoint across multiple zones. `start`/`end` default to UTC; `start` inclusive, `end` EXCLUSIVE. `tz="local"` is rejected (zones may differ); pass an explicit IANA tz like "Europe/Berlin" if you need wall-clock alignment.
after · 56% of words in common
Compare one endpoint across multiple zones. `start`/`end` default to UTC; `start` inclusive, `end` EXCLUSIVE. `tz="local"` is rejected (zones may differ); pass an explicit IANA tz like "Europe/Berlin" if you need wall-clock alignment. `filters={column: [values]}` keeps only rows whose categorical column holds one of the values, in every zone (see get_series); zones whose periods hold several rows are listed under `split_periods_by_zone`.
2026-10-15get_serieschangeddescription, input schema
before
Generic time-series query for ANY registered series endpoint. One tool covers every (non-outage) endpoint in the registry, so adding a new dataset (call `list_endpoints()` to see the current 14) gets an MCP surface automatically — no new tool to learn. Argument shape adapts to the endpoint: • single-zone (day_ahead_price, actual_load, generation_per_type, …) → pass `zone="DE_LU"` • cross-zone (crossborder_flow, scheduled_exchanges, net_transfer_capacity_dayahead) → pass `from_zone="DE_LU"` AND `to_zone="FR"` • psr-dependent (generation_per_type, wind_solar_forecast, installed_generation_capacity) → optionally filter via `psr_types=["solar","wind_onshore"]` `start`/`end`: UTC by default; `start` inclusive, `end` EXCLUSIVE (for "all of April 2026" use end=2026-05-01). Pass `tz="local"` or an IANA name to interpret as wall-clock in that timezone. `aggregation`: 'raw' (default — native PT15M/PT60M per endpoint), 'hourly' (AVG over quarters → one row per hour, useful for the growing list of PT15M-stored endpoints like DE_LU day_ahead_price), 'daily', or 'monthly'. For day-ahead prices specifically the auction still clears hourly even where stored at PT15M, so AVG=any-quarter; SUM would 4× over-count. Currency: price columns keep `_eur_` in their names for stability. An endpoint whose rows carry a `currency` column (day-ahead and intraday prices, the A81/A15 capacity prices, activated_balancing_price) labels each row (PLN, HUF, RON, CZK, GBP, …) and the response `unit` follows it; `unit` is null when the window mixes currencies (`mixed_currency`) or, for activated_balancing_price, holds rows of unknown currency (`currency_unknown_rows`). Never average a price across rows with different `currency`. An endpoint WITHOUT a `currency` column serves its registry unit as-is: imbalance_prices is published in the TSO's own currency for several zones (HU HUF, CZ CZK, PL PLN, RO RON) and does not label it yet. Outage-family endpoints (different schema) stay on `get_outages()`.
after · 82% of words in common
Generic time-series query for ANY registered series endpoint. One tool covers every (non-outage) endpoint in the registry, so adding a new dataset (call `list_endpoints()` to see the current 14) gets an MCP surface automatically — no new tool to learn. Argument shape adapts to the endpoint: • single-zone (day_ahead_price, actual_load, generation_per_type, …) → pass `zone="DE_LU"` • cross-zone (crossborder_flow, scheduled_exchanges, net_transfer_capacity_dayahead) → pass `from_zone="DE_LU"` AND `to_zone="FR"` • psr-dependent (generation_per_type, wind_solar_forecast, installed_generation_capacity) → optionally filter via `psr_types=["solar","wind_onshore"]` `start`/`end`: UTC by default; `start` inclusive, `end` EXCLUSIVE (for "all of April 2026" use end=2026-05-01). Pass `tz="local"` or an IANA name to interpret as wall-clock in that timezone. `aggregation`: 'raw' (default — native PT15M/PT60M per endpoint), 'hourly' (AVG over quarters → one row per hour, useful for the growing list of PT15M-stored endpoints like DE_LU day_ahead_price), 'daily', or 'monthly'. For day-ahead prices specifically the auction still clears hourly even where stored at PT15M, so AVG=any-quarter; SUM would 4× over-count. Currency: price columns keep `_eur_` in their names for stability. An endpoint whose rows carry a `currency` column (day-ahead and intraday prices, the A81/A15 capacity prices, activated_balancing_price, imbalance_prices) labels each row (PLN, HUF, RON, CZK, GBP, …) and the response `unit` follows it; `unit` is null when the window mixes currencies (`mixed_currency`) or, for activated_balancing_price and imbalance_prices, holds rows of unknown currency (`currency_unknown_rows`). Never average a price across rows with different `currency`. Split periods: when a response carries `split_periods`, some periods hold more than one row — different published series told apart by the listed columns (activated_balancing_price: `product`, e.g. CZ/SK mFRR standard A01 vs specific A02; or `currency`). Never average across them. Keep one with `filters={"product": ["A01"]}` — `filters` takes any categorical column of the endpoint (`{column: [values]}`). Outage-family endpoints (different schema) stay on `get_outages()`.
2026-10-13get_serieschangeddescription
before
Generic time-series query for ANY registered series endpoint. One tool covers every (non-outage) endpoint in the registry, so adding a new dataset (call `list_endpoints()` to see the current 14) gets an MCP surface automatically — no new tool to learn. Argument shape adapts to the endpoint: • single-zone (day_ahead_price, actual_load, generation_per_type, …) → pass `zone="DE_LU"` • cross-zone (crossborder_flow, scheduled_exchanges, net_transfer_capacity_dayahead) → pass `from_zone="DE_LU"` AND `to_zone="FR"` • psr-dependent (generation_per_type, wind_solar_forecast, installed_generation_capacity) → optionally filter via `psr_types=["solar","wind_onshore"]` `start`/`end`: UTC by default; `start` inclusive, `end` EXCLUSIVE (for "all of April 2026" use end=2026-05-01). Pass `tz="local"` or an IANA name to interpret as wall-clock in that timezone. `aggregation`: 'raw' (default — native PT15M/PT60M per endpoint), 'hourly' (AVG over quarters → one row per hour, useful for the growing list of PT15M-stored endpoints like DE_LU day_ahead_price), 'daily', or 'monthly'. For day-ahead prices specifically the auction still clears hourly even where stored at PT15M, so AVG=any-quarter; SUM would 4× over-count. Outage-family endpoints (different schema) stay on `get_outages()`.
after · 70% of words in common
Generic time-series query for ANY registered series endpoint. One tool covers every (non-outage) endpoint in the registry, so adding a new dataset (call `list_endpoints()` to see the current 14) gets an MCP surface automatically — no new tool to learn. Argument shape adapts to the endpoint: • single-zone (day_ahead_price, actual_load, generation_per_type, …) → pass `zone="DE_LU"` • cross-zone (crossborder_flow, scheduled_exchanges, net_transfer_capacity_dayahead) → pass `from_zone="DE_LU"` AND `to_zone="FR"` • psr-dependent (generation_per_type, wind_solar_forecast, installed_generation_capacity) → optionally filter via `psr_types=["solar","wind_onshore"]` `start`/`end`: UTC by default; `start` inclusive, `end` EXCLUSIVE (for "all of April 2026" use end=2026-05-01). Pass `tz="local"` or an IANA name to interpret as wall-clock in that timezone. `aggregation`: 'raw' (default — native PT15M/PT60M per endpoint), 'hourly' (AVG over quarters → one row per hour, useful for the growing list of PT15M-stored endpoints like DE_LU day_ahead_price), 'daily', or 'monthly'. For day-ahead prices specifically the auction still clears hourly even where stored at PT15M, so AVG=any-quarter; SUM would 4× over-count. Currency: price columns keep `_eur_` in their names for stability. An endpoint whose rows carry a `currency` column (day-ahead and intraday prices, the A81/A15 capacity prices, activated_balancing_price) labels each row (PLN, HUF, RON, CZK, GBP, …) and the response `unit` follows it; `unit` is null when the window mixes currencies (`mixed_currency`) or, for activated_balancing_price, holds rows of unknown currency (`currency_unknown_rows`). Never average a price across rows with different `currency`. An endpoint WITHOUT a `currency` column serves its registry unit as-is: imbalance_prices is published in the TSO's own currency for several zones (HU HUF, CZ CZK, PL PLN, RO RON) and does not label it yet. Outage-family endpoints (different schema) stay on `get_outages()`.

Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 80 / 100

no-repository

provenance55

liveness100

freshness85

hygiene80

+dns-namespace +website +reachable +uptime-99% ~updated-51d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remote	auth	reachable	uptime 30d	p50	protocol	last ok
`https://entsoemcp.com/mcp` streamable-http	none	yes	99%	477 ms	2025-11-25	2026-10-19

Tools (14)

`compare_zones`read-only	Compare one endpoint across multiple zones. `start`/`end` default to UTC; `start` inclusive, `end` EXCLUSIVE. `tz="local"` is rejected (zones may differ); pass an explicit IANA tz like "Europe/Berlin" if you need wall-clock alignment. `filters={column: [values]}` keeps only rows whose categorical column holds one of the values, in every zone (see get_series); zones whose periods hold several rows are listed under `split_periods_by_zone`.
`data_coverage`read-only	Show ingest coverage and lag for (endpoint × zone) — call before queries if you're not sure whether the data is landed yet.
`get_crossborder_flow`read-only	Cross-border physical flow (MW) between two adjacent zones. `start`/`end` default to UTC; `start` inclusive, `end` EXCLUSIVE. `tz="local"` uses the FROM-zone's timezone; or pass an IANA name.
`get_day_ahead_prices`read-only	Day-ahead clearing price for a bidding zone, in the zone's trading currency (EUR for euro zones; the per-row `currency` column and the response `unit` say which — GB=GBP, PL/RO/BG carry local-currency eras). `start`/`end` default to UTC; `start` inclusive, `end` EXCLUSIVE. For 'all of April 2026' use start=2026-04-01, end=2026-05-01 (end=2026-04-30 silently drops the final UTC day — and 1–2 local-time hours of April for European zones in CET/CEST). The response's `period` block shows the resolved window so you can verify (a 30-day month is 720 hours). `tz`: pass "local" to interpret start/end as wall-clock in the zone's timezone, or an explicit IANA name like "Europe/Berlin". The server converts to UTC at the boundary. If you're computing a generation-weighted price metric — capture price, capture rate, value factor, merchant-PPA achieved price — use `get_derivation(slug="capture_price", …)` instead. It runs server-side over the full window and returns monthly rows; no row cap, no pagination.
`get_derivation`read-only	Compute capture price, capture rate (a.k.a. value factor / quality factor / Marktwertfaktor), TBx battery-arbitrage spreads, and other generation-weighted market metrics server-side from landed Parquet. Use this instead of fetching hourly prices + hourly generation yourself and weighting them client-side — server-side aggregation has no row cap and no pagination. `slug`: a key from list_derivations() — today: `"capture_price"`, `"negative_price_hours"`, `"residual_load"`, `"res_share"`, `"emissions"`, `"tb_spread"`. `tb_spread` returns monthly (default) or annual (aggregation='annual') Top-Bottom spreads TB1/TB2/TB4/TB6 in <currency>/MW per period — the sum of daily (top-x minus bottom-x hourly prices) over SDAC market days. The only slug accepting `aggregation`, and the only one accepting multi-zone `zone` ('all', a list, or CSV). Example — annual TB2 across every European market in ONE call: get_derivation("tb_spread", "2025-01-01", "2026-01-01", zone="all", aggregation="annual") For a single day's top/bottom hour TIMESTAMPS use get_tb_spread. `capture_price` returns monthly rows per (zone, psr_type, currency) with columns: currency, capture_price_eur_per_mwh, baseload_price_eur_per_mwh, quality_factor (the capture rate = capture/baseload), total_gen_mwh, n_hours. Months are bucketed by local time using the zone's IANA timezone. CURRENCY (capture_price and tb_spread alike): the `_eur_per_mwh` / `tb_eur_per_mw` key names are FIXED for API stability and do NOT track the actual unit — read the row's `currency` column, which is authoritative (EUR for euro zones, GBP for GB, PLN/RON/BGN for the PL/RO/BG local-currency eras). The response echoes it top-level as `currency`; a window spanning two currencies instead sets `unit` to null with `mixed_currency: true` and a `currencies` list. A month (or period) spanning a redenomination splits into one row PER CURRENCY, each computed only from that currency's hours — so never average or sum a price column across rows with different `currency` values. Summing `total_gen_mwh` across them IS correct: the split rows partition the month's hours rather than duplicating them. `quality_factor` is a ratio and stays comparable across currencies. `emissions` returns monthly rows per (zone, psr_type) with columns: generation_mwh, n_hours, emission_factor_kg_per_mwh, emissions_t_co2. Production-based; IPCC AR5 lifecycle factors. Zero-emission rows (nuclear, wind, solar, hydro, geothermal, marine) appear with emissions_t_co2 = 0 — useful for stacked charts. Filter via `psr_types=["solar","wind_onshore","wind_offshore"]` (or raw B-codes like "B16") to get only the technologies you care about. Defaults to all psr_types that have generation data. Example — Spain solar capture price, last 12 months: get_derivation("capture_price", "2025-05-01", "2026-05-01", zone="ES", psr_types=["B16"], tz="Europe/Madrid") Example — Germany 2024 emissions by fuel: get_derivation("emissions", "2024-01-01", "2025-01-01", zone="DE_LU", tz="Europe/Berlin") Returns 12 monthly rows in one call; no pagination.
`get_generation`read-only	Aggregated generation (MW) per production type. `start`/`end` default to UTC; `start` inclusive, `end` EXCLUSIVE. For a full calendar month set `end` to the first day of the next month. Pass `tz="local"` or an IANA name to interpret start/end as wall-clock in that timezone. If you're computing a generation-weighted price metric — capture price, capture rate, value factor, merchant-PPA achieved price — use `get_derivation(slug="capture_price", …)` instead. It runs server-side over the full window and returns monthly rows; no row cap, no pagination.
`get_load`read-only	Actual or forecast load (MW). kind = actual \| forecast \| both. `start`/`end` default to UTC; `start` inclusive, `end` EXCLUSIVE. For a full calendar month set `end` to the first day of the next month. Pass `tz="local"` or an IANA name to interpret start/end as wall-clock in that timezone.
`get_outages`read-only	Generation-unit unavailability events (UMM). `start`/`end` default to UTC; `start` inclusive, `end` EXCLUSIVE. An outage is returned if it overlaps the window. Pass `tz="local"` or an IANA name to interpret start/end as wall-clock in that timezone.
`get_series`read-only	Generic time-series query for ANY registered series endpoint. One tool covers every (non-outage) endpoint in the registry, so adding a new dataset (call `list_endpoints()` to see the current 14) gets an MCP surface automatically — no new tool to learn. Argument shape adapts to the endpoint: • single-zone (day_ahead_price, actual_load, generation_per_type, …) → pass `zone="DE_LU"` • cross-zone (crossborder_flow, scheduled_exchanges, net_transfer_capacity_dayahead) → pass `from_zone="DE_LU"` AND `to_zone="FR"` • psr-dependent (generation_per_type, wind_solar_forecast, installed_generation_capacity) → optionally filter via `psr_types=["solar","wind_onshore"]` `start`/`end`: UTC by default; `start` inclusive, `end` EXCLUSIVE (for "all of April 2026" use end=2026-05-01). Pass `tz="local"` or an IANA name to interpret as wall-clock in that timezone. `aggregation`: 'raw' (default — native PT15M/PT60M per endpoint), 'hourly' (AVG over quarters → one row per hour, useful for the growing list of PT15M-stored endpoints like DE_LU day_ahead_price), 'daily', or 'monthly'. For day-ahead prices specifically the auction still clears hourly even where stored at PT15M, so AVG=any-quarter; SUM would 4× over-count. Currency: price columns keep `_eur_` in their names for stability. An endpoint whose rows carry a `currency` column (day-ahead and intraday prices, the A81/A15 capacity prices, activated_balancing_price, imbalance_prices) labels each row (PLN, HUF, RON, CZK, GBP, …) and the response `unit` follows it; `unit` is null when the window mixes currencies (`mixed_currency`) or, for activated_balancing_price and imbalance_prices, holds rows of unknown currency (`currency_unknown_rows`). Never average a price across rows with different `currency`. Split periods: when a response carries `split_periods`, some periods hold more than one row — different published series told apart by the listed columns (activated_balancing_price: `product`, e.g. CZ/SK mFRR standard A01 vs specific A02; or `currency`). Never average across them. Keep one with `filters={"product": ["A01"]}` — `filters` takes any categorical column of the endpoint (`{column: [values]}`). Process types: activated balancing prices are one endpoint per ENTSO-E processType (activated_balancing_price = A16 realised; _mfrr_scheduled = A60, _mfrr_direct = A61, _afrr_local = A68) — different prices for the same period, never to be merged. `related_series` names the siblings holding data for the zone. Outage-family endpoints (different schema) stay on `get_outages()`.
`get_tb_spread`read-only	Top-Bottom (TBx) spread — daily battery-arbitrage benchmark. TBx = sum(top X priced hours) − sum(bottom X priced hours) over the day-ahead clearing prices for `zone` on `date`. The day is the SDAC market day (23/25 hours on DST-transition days). `date` must be a bare YYYY-MM-DD — time-bearing strings are rejected. Returns both `spread` (<currency>/MW/day) and `mean_spread` (<currency>/MWh = spread/X) in the zone's trading currency — see the response `currency`/`unit` (EUR for euro zones; GB=GBP). Common X: 1, 2, 4.
`list_derivations`read-only	List computed-metric derivations available via get_derivation(). Each derivation is a metric computed on-the-fly from one or more landed endpoints (Tier-2 Parquet). Today: capture_price (monthly VWAP capture price + baseload + capture rate per technology; "capture rate" is the industry-standard name for what the JSON response calls `quality_factor`), negative_price_hours, residual_load, res_share, emissions (monthly CO2 emissions per fuel using IPCC AR5 lifecycle factors, production-based), and tb_spread (monthly or annual Top-Bottom battery-arbitrage spread TB1/TB2/TB4/TB6 per zone on SDAC market days; accepts zone='all' for every zone in one call).
`list_endpoints`read-only	List supported ENTSO-E endpoint families.
`list_psr_types`read-only	List production-type (psr_type) codes. Pass zone= to scope the answer. Most codes are ENTSO-E's B01..B25 and mean the same thing in every ENTSO-E zone. A few are source-native (source != "entsoe") and exist only where that source publishes — they express concepts the B-codes cannot, so they are NOT interchangeable with a similar-looking B-code. Check `source` and read `description` before comparing a code across zones. Passing zone= also returns `taxonomy_note` for zones that mix taxonomies (e.g. GB), and per-code `endpoints` showing where each code comes from. Each code carries `counts_as_generation`: when False the figure is a net flow or net storage number, not production — do not sum it into a generation total.
`list_zones`read-only	List registered ENTSO-E bidding zones.

Schemas: list_tools.

Similar MCP servers

Official server.json

{
  "name": "com.entsoemcp/entsoe-mcp",
  "_meta": {
    "io.modelcontextprotocol.registry/publisher-provided": {
      "coverage": "https://entsoemcp.com/coverage.json",
      "server_card": "https://entsoemcp.com/.well-known/mcp.json",
      "documentation": "https://entsoemcp.com/llms.txt",
      "license_terms": "https://entsoemcp.com/licensing"
    }
  },
  "icons": [
    {
      "src": "https://entsoemcp.com/apple-touch-icon.png",
      "mimeType": "image/png"
    }
  ],
  "title": "entsoe-mcp",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://entsoemcp.com/mcp",
      "type": "streamable-http"
    }
  ],
  "version": "1.0.0",
  "websiteUrl": "https://entsoemcp.com",
  "description": "European power-market data: day-ahead & balancing prices, load, generation, flows, outages. 47 zones"
}