MCP server

EU Trade Explorer

eu.tradedashboard/eu-trade-explorer

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

EU customs-trade & industrial-production statistics (Eurostat Comext/PRODCOM)

Website

At a glance

Type

MCP server

Publisher

tradedashboard.eu (verified by the MCP Registry)

Status

Working at last check

Tools

37

Token cost

About 38,865 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http eu-trade-explorer https://mcp.tradedashboard.eu/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.eu-trade-explorer]
url = "https://mcp.tradedashboard.eu/mcp"

Gemini CLI

{"mcpServers":{"eu-trade-explorer":{"httpUrl":"https://mcp.tradedashboard.eu/mcp"}}}

Cursor

{"mcpServers":{"eu-trade-explorer":{"url":"https://mcp.tradedashboard.eu/mcp"}}}

VS Code

{"servers":{"eu-trade-explorer":{"type":"http","url":"https://mcp.tradedashboard.eu/mcp"}}}

Antigravity

agy mcp add eu-trade-explorer https://mcp.tradedashboard.eu/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"eu-trade-explorer","server_url":"https://mcp.tradedashboard.eu/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"eu-trade-explorer","server_url":"https://mcp.tradedashboard.eu/mcp"}

Tools

• get_autonomy_summary ~1242 tokens
  Report-section helper ("Autonomy & vulnerability"): net import reliance (`get_net_import_reliance`) is always the headline fact/chart. Trade intensity and export propensity (`get_trade_intensity` / `get_export_propensity`) are both computed, then a deterministic salience score -- distance from an un
• get_chapters ~138 tokens
  List all top-level Combined Nomenclature chapters (2-digit codes). Bootstraps browsing the nomenclature top-down; drill into a chapter with `get_subtree`.
• get_concentration ~1374 tokens
  Herfindahl-Hirschman Index (HHI) of trade concentration across partners or member states, per period (0 = perfectly spread, 10000 = one entity holds the whole market), plus the top-8-by-value share breakdown (rest bundled as 'Others'). Higher HHI = more dependent on a handful of counterparties.
• get_concentration_compare ~1237 tokens
  Partner-concentration (HHI) compared across sub-products: one HHI line per sub-product rather than per flow, to see which sub-products drive a parent code's overall concentration.
• get_concentration_map ~1438 tokens
  Cross-sectional HHI per country for one year -- the choropleth counterpart of get_concentration. 'partner' entity_level = for every EU member state, HHI of its trade across partners; 'reporter' = for every partner, HHI of its trade across EU member states (subject to the Rotterdam/Antwerp entry-poin
• get_countries ~132 tokens
  Reference data for reporters/partners: selectable EU/Euro-area/member states, named partner presets, predefined reporter/partner groups, and per-language country-name translations. Use this to find valid values for the `reporter`, `partner_set`, `partners` and `reporter_members` fields used througho
• get_data_range ~142 tokens
  Return the period coverage (`data_min`/`data_max`, 'YYYY-MM') actually cached for the given product code(s) -- use before picking `period_start`/`period_end` so you don't request an empty window.
• get_export_propensity ~1232 tokens
  Export Propensity = Exports / Production, annual: the share of EU production that is exported. Not clamped -- values above 100% are legitimate (re-exports, stock drawdown, scope differences). Returns the export-propensity matrix, a sibling/per-code comparison, resolved PRODCOM codes and availability
• get_full_report ~1449 tokens
  Fetch every report section (scope, overview, market structure, volatility, autonomy) for one shared `query` in a single call, instead of calling `get_product_profile` / `get_market_summary` / `get_market_structure_summary` / `get_volatility_summary` / `get_autonomy_summary` separately yourself. Guar
• get_map_data ~1188 tokens
  Choropleth-ready aggregates: per-period totals (quantity, value, price) for imports and exports, keyed by GISCO country code on both the reporter and partner sides.
• get_market_structure_summary ~1315 tokens
  Report-section helper ("Market structure"): combines, in priority order, the intra-EU specialisation snapshot (`get_specialisation`, already map-ready), partner-concentration detail (`get_concentration`, keeping the top-8-by-value share breakdown as `chart_data` alongside the condensed HHI trend) an
• get_market_summary ~1498 tokens
  Report-section helper ("General overview"): condensed, report-ready digest of how a market has evolved over the chosen window -- one call instead of separately fetching and cross-referencing get_overview + get_reporter_detail + get_concentration + get_net_import_reliance yourself. Set `query.frequen
• get_net_import_reliance ~1299 tokens
  Net Import Reliance (NIR) = (Imports - Exports) / Apparent consumption, annual, joining PRODCOM production with Comext trade. E.g. 40% means 40% of EU consumption is met by imports; negative means the EU is a net exporter. Returns the NIR % series, its supply/disposition components, sibling-category
• get_overview ~1198 tokens
  Headline figures: total import/export quantities, values and weighted-average prices per period, the trade balance, and a top-partner breakdown. The best first call for any new product/reporter slice.
• get_partner_detail ~1219 tokens
  Per-partner import/export breakdown. For each flow, the top-N trading partners ranked both by quantity and by value (so you can compare volume-based vs. value-based rankings), each with its own quantity, value and price time series, plus an optional 'Other' bucket.
• get_pattern_shift ~1290 tokens
  Before/after trade-pattern shift around a split point (`query.midpoint`): for each entity, compares average quantity and price before vs. after, and returns scatter points (quantity-change % vs. price-change %) with quadrant labels -- top-right = demand-driven growth, top-left = supply constraint/mo
• get_price_shocks ~1578 tokens
  Detect sudden price regime shifts ("rapid price changes"), accounting for each flow's usual volatility so naturally volatile flows aren't over-flagged. Returns ranked shock events per flow with timeline phases (price spike/drop, volatile trade, return to baseline, ...), magnitude and series.
• get_product_compare ~1242 tokens
  Sub-product comparison: for a single parent CN code, expands into its children (or, for a multi-code request, compares the entered codes directly) and returns per-subcode quantity/value/price series for both flows -- so each sub-product plots as its own line instead of being aggregated away. A leaf
• get_product_profile ~1233 tokens
  Report-section helper ("Scope & definitions"): the resolved product code + label, a one-sentence caveat when the code bundles several sub-products (`has_subcodes`), the data-coverage window actually cached for it, and whether it has a usable PRODCOM mapping (gating the autonomy/vulnerability section
• get_production_concentration ~1254 tokens
  How concentrated production of a product is across all DS-059358 reporting countries (PRODCOM; EU member states plus EFTA/candidate/other reporters -- not only the EU-27). HHI of PRODVAL across countries over time, plus each country's production share. Suppressed/absent country figures come back as
• get_production_series ~1266 tokens
  EU27 and per-country PRODCOM production series: EU quantity, EU production unit value, and the same two per reporting country (all DS-059358 reporters, not just EU-27, since production data carries no trade columns). Country-level figures are heavily confidentiality -suppressed; suppressed/absent va
• get_reporter_benchmark ~1403 tokens
  Every EU reporter ranked by value for one year -- the country-view counterpart of `get_reporter_detail`. Returns a single-year snapshot (every real EU member state's quantity, value and price per flow, ranked by value) plus a benchmark price time series: the weighted average across whichever reporte
• get_reporter_detail ~1220 tokens
  Per-EU-member-state import/export breakdown -- the reporter-side counterpart of `get_partner_detail`. Top-N member states (by quantity and by value) with their quantity, value and price series. Aggregate reporters (EU, Euro area, groups) are excluded from the ranking.
• get_specialisation ~1294 tokens
  Intra-EU revealed symmetric comparative advantage (RSCA) per member state -- a Balassa index benchmarked against the EU instead of the world. Runs -1 (under-specialised) to +1 (strongly specialised), value -based and intra-EU only. Treat with caution: intra-EU flows are distorted by the Rotterdam/An
• get_subcontracting ~1238 tokens
  EU27 sub-contracting intensity: the share of sold production that is toll (sub-contracted) manufacturing rather than own-account output. Returns intensity (%) across value/quantity, its component series, per-period data-quality status, resolved PRODCOM codes and availability notes. The own/sub split
• get_subcontracting_members ~1254 tokens
  Per-country sub-contracting intensity (PRODCOM): for each reporting country, the share of its sold production that is toll manufacturing -- which countries act as processing hubs vs. autonomous producers. Spans all DS-059358 reporters that report the own/sub split; others simply don't appear. Countr
• get_subtree ~215 tokens
  Return the Combined Nomenclature sub-tree rooted at `code` (its children, and their children, ...), each with a `code` and a `text` description. Use this to see whether a heading you're about to use (e.g. as `query.product` elsewhere) is actually a clean match, or bundles several distinct sub-produc
• get_supply_shocks ~1647 tokens
  Detect abnormal collapses in trade volumes ("sudden volume changes"). Flags periods where a partner/product pair's volume drops well below its historical average (>2 sigma by default). Returns ranked shock events per flow, each with timeline phases (baseline, decline, disruption, recovery, ...), mag
• get_top_entities ~1203 tokens
  Just the ordered list of top entities for a slice -- no time series. A lightweight helper for populating entity pickers or quickly checking who the top partners/reporters are without pulling full series.
• get_trade_intensity ~1246 tokens
  Trade Intensity (TI) = (Imports + Exports) / (Imports + Production), annual. Near 1 = highly trade-exposed sector; near 0 = predominantly domestic. Used in the Commission's CEEAG methodology for carbon-leakage / State-aid eligibility. Returns the TI series, its components, sibling-category/per-code
• get_volatility ~1659 tokens
  Coefficient-of-variation (CV = stdev / mean) volatility per partner/reporter x product pair, over inactive-period-excluded history. Higher CV = the flow swings more relative to its typical level. Returns per-entity CV bars (with drill-down series) and, unless include_heatmap=false, an entity x sub-p
• get_volatility_summary ~1266 tokens
  Report-section helper ("Volatility & shocks"): the entities analysed are picked by `get_volatility` (ranks by trade volume, reports each one's CV) and by `get_price_shocks`/`get_supply_shocks` at default parameters (both already scoped to top-value partners via `cumulative_share=0.8`) -- never re-pi
• guidelines_for_a_long_report ~142 tokens
  Read this first for an in-depth report. Returns the long-report workflow: which of the 35+ tools to combine per angle (partners, concentration, volatility & shocks, autonomy), the dashboard menu/tab structure for pointing readers at views, and the methodological notes needed to interpret and cite fi
• guidelines_for_a_short_report ~122 tokens
  Read this first for a quick report. Returns the short-report workflow: resolve a product code, then call `get_full_report` for the five most important report sections in one shot -- enough for a quick, simple report. Also covers access, the shared `query` object and the `compact` option.
• resolve_product_code ~456 tokens
  Resolve a free-text query or CN code(s) into validated product code(s) with descriptions -- the recommended first step before using a code as `product` in any other tool's `query`. Saves the search -> validate -> (optional) subtree round-trip: a bare keyword runs a search, a single code (or comma-se
• search_codes ~291 tokens
  Keyword/code search over the Combined Nomenclature (or PRODCOM). Returns ranked `{code, label, path}` candidates. Prefer `resolve_product_code` for a one-call keyword-or-code helper; use this directly if you specifically want the raw ranked candidate list.
• validate_code ~245 tokens
  Validate and describe one or more Combined Nomenclature codes. For a single code, returns the full hierarchy of description levels (`levels`), the resolved `product_name`, and `has_subcodes`. For a comma-separated list, returns `{"results": [...]}` with one entry per code (each either a success dic

Browse

• Website monitoring
• Invoicing and accounting
• Hiring and jobs
• Government and public data

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