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eea-climate-data-mcp

eea-climate-data-mcp

by bezilaszlo

eea-climate-data-mcp

eu-climate — Europe’s climate reports, made queryable

PyPI Python 3.11+ License: MIT MCP Status: Alpha Data: EEA Discodata

Schema-aware, read-only access to European climate data published through the public Discodata service of the European Environment Agency (EEA).

This MVP is a conditional go. It supports the verified GHG Inventory and Policies and Measures databases. A current projections database was not visible in Discodata metadata during the 2026-07-19 spike, so WEM/WAM comparison is not claimed.

IMPORTANT

This is an independent, unofficial client. The EEA and reporting countries remain the authoritative sources.

WARNING

This repository is an experimental proof of concept, not a production service. Interfaces, upstream schemas, and the undocumented execution allowlist may change. SeeTODO.md.

Install

Install the CLI and MCP server as isolated commands:

uv tool install eea-climate-data-mcp
eu-climate --help

Development checkout:

uv sync --extra test
uv run eu-climate databases list
uv run eea-climate-data-mcp

The MCP command uses stdio transport. No credentials are required.

Claude Code:

claude mcp add --scope user eu-climate -- uvx eea-climate-data-mcp

Codex CLI:

codex mcp add eu-climate -- uvx eea-climate-data-mcp

One-click editor installation:

Client

Install

VS Code

Install on VS Code

Cursor

Install MCP Server

Related MCP server: mcp-data-europa

CLI examples

uv run eu-climate series emissions --country DE --sector total \
  --accounting-scope without_lulucf --start-year 1990

uv run eu-climate sectors search transport
uv run eu-climate series emissions --country HU --sector 1.A.3 --start-year 1990

uv run eu-climate measures list --country Hungary --status Implemented --sector Transport
uv run eu-climate measures get --country Hungary --measure-id 4

uv run eu-climate tables describe \
  --database GHG_Inventory --version latest --table ghg_value

uv run eu-climate values distinct \
  --database GHGPAMS --version latest \
  --table annexIX_flat_view_PaMs_elasticsearch --column Country

uv run eu-climate sql validate --query-file examples/country_inventory_counts.sql
uv run eu-climate sql run --query-file examples/country_inventory_counts.sql \
  --max-rows 100 --page-size 100

All execution paths use the same service and SQL guardrails. Queries must be one parsed SELECT, fully qualify every table as [database].[version].[table], use allowlisted databases and versions, and remain within the requested bound. DDL, DML, CTEs, SELECT INTO, system schemas, and unaliased computed columns are rejected.

Verified source model

Domain

Database

Country field

Live coverage

Status

National GHG inventory

GHG_Inventory.latest

country_code

31 countries plus EUA

reported_actual

Policies and Measures

GHGPAMS.latest

Country

30 countries

reported_policy_estimate

GHG projections

Not found in live metadata

—

—

Outside MVP

Country identifiers differ between datasets: inventory uses codes such as DE, FR, and HU, while Policies and Measures uses labels such as Germany, France, and Hungary. Use metadata discovery or values distinct before constructing cross-domain queries. EUA is an aggregate, not a country.

latest is mutable. Use a concrete version or revision for reproducible analysis when the upstream exposes one. The latest inventory year is a published reporting year, not a real-time emissions figure.

The get_emissions_series MCP tool and series emissions CLI command resolve the appropriate inventory variable and sort results client-side because upstream rejects ORDER BY on some ghg_value queries. sector accepts total or an IPCC sector code at any depth (1, 1.A, 1.A.3); discover codes with search_emission_sectors/describe_emission_sector (sectors search|describe). Parent sectors already include their children — never sum a sector with its parent or children.

The list_measures/get_measure tools (measures list|get CLI) expose the Policies and Measures database as a searchable descriptive catalogue. Structured ex-ante and ex-post effect values are sparse (several countries, including Hungary, report none), so get_measure returns explicit quantification semantics — reported vs not_reported — and missing values must not be read as zero impact. The catalogue is deliberately not a ranking or impact-estimation source. Every result includes a query hash, retrieval time, table references, reporting status, source links, and warnings.

Machine-readable output goes to stdout and diagnostics to stderr. Exit codes:

Code

Meaning

0

Success

2

Invalid or unsafe query/argument

3

Upstream unavailable or invalid response

4

Metadata object not found

docs/RECIPES.md contains six reproducible investigation recipes (trend, sectoral change, road-transport contribution, PaMs reporting completeness, sector quantification gaps, trend × measure stock) with exact commands, formulas, query hashes, and caveats.

See docs/SPIKE-REVIEW.md for evidence, limitations, and next scope. The original Hungary-focused brief is retained as historical context in docs/SPIKE-hun-climate-policy-mcp.md.

Development

uv run pytest
uv run ruff format --check src tests
uv run ruff check src tests
uv run mypy src tests
uv run python scripts/live_smoke.py

The live smoke suite is intentionally small and read-only.

Release

Maintainers release from a clean, synchronized main branch:

scripts/release patch

The helper bumps the version, commits and pushes it, then creates a GitHub Release. The release workflow builds the distributions and publishes them to PyPI through trusted publishing.

Configuration

Variable

Default

Purpose

EEA_CLIMATE_DISCODATA_URL

https://discodata.eea.europa.eu

Upstream service

EEA_CLIMATE_TIMEOUT_SECONDS

30

Request timeout, capped at 120 seconds

EEA_CLIMATE_MAX_PAGE_SIZE

1000

Local page-size ceiling

Available Tools

18 tools
describe_emission_sectorA

Describe one IPCC sector code: name, level, parent, direct children.

Parents already include children; never sum a sector with its parent or children (double counting).

Inputs: sector_code (required). Returns: object

describe_reporting_statusB

Explain reported actual, projection, policy estimate, and derived statuses.

Inputs: no named parameters. Returns: object

describe_tableB

Describe schema, grain, keys, joins, reporting cycle, and caveats.

Inputs: table (required), version (required), database (required). Returns: object

explain_sqlB

Explain referenced objects, joins, filters, aggregations, and query risks.

Inputs: sql (required), max_rows. Returns: object

get_emissions_seriesA

Curated national GHG inventory time series with the statistically correct variable.

country: ISO-style Discodata country code, e.g. 'HU', 'AT', 'EUA'. sector: 'total' or an IPCC sector code at any depth: '1', '1.A', '1.A.3' (discover codes via search_emission_sectors). Never sum a sector with its parent or children. accounting_scope: 'with_lulucf' or 'without_lulucf' (totals only). Avoids TREND/BASE_YEAR_AVG/PREV_SUBMISSION variants; sorted client-side by year.

Inputs: country (required), gas, sector, end_year, +2 more. Returns: object

get_measureA

Fetch one policy or measure with explicit quantification semantics.

Returns the full record plus a quantification block: status is 'reported' or 'not_reported'; ex-ante values by scope (total/esr/ eu_ets/lulucf) and target year, ex-post average if reported.

Inputs: country (required), measure_id (required). Returns: object

get_provenanceA

Preview provenance classification for a query without executing it.

Inputs: sql (required), max_rows. Returns: object

get_sql_capabilitiesB

Return the documented and live-tested Discodata SQL capability matrix.

Inputs: no named parameters. Returns: object

list_databasesB

List allowlisted EEA climate databases and available versions.

Inputs: no_cache. Returns: result

list_distinct_valuesB

List bounded distinct values after validating the column against metadata.

Inputs: table (required), column (required), version (required), database (required), +1 more. Returns: object

list_measuresB

Search the Policies and Measures catalogue (descriptive, not a ranking source).

country: PaMs country label, e.g. 'Hungary', 'Germany'. status: e.g. 'Implemented', 'Planned', 'Adopted', 'Expired'. sector/instrument_type/ responsible_entity/free_text are substring matches. Quantified effect fields are sparse; missing values mean not reported, not zero.

Inputs: sector, status, country, max_rows, +5 more. Returns: object

list_tablesC

List tables in a database version.

Inputs: database (required), version. Returns: result

list_versionsA

List version and revision aliases for an allowlisted database.

Inputs: database (required). Returns: result

preview_rowsC

Preview a small bounded set of rows with provenance.

Inputs: table (required), version (required), database (required), max_rows. Returns: object

query_sqlB

Execute a locally validated and bounded SELECT, returning rows and provenance.

Inputs: sql (required), page, timeout, max_rows, +1 more. Returns: object

search_emission_sectorsA

Find IPCC inventory sector codes by code prefix or name substring.

Returns sector_code, name, hierarchy level, and parent for each match, e.g. query 'transport' -> 1.A.3 and its subsectors.

Inputs: query (required), max_rows. Returns: object

search_tablesA

Search table names, descriptions, columns, and column descriptions.

Inputs: text (required). Returns: result

validate_sqlA

Parse and validate one allowlisted, read-only, bounded SELECT query.

Inputs: sql (required), max_rows. Returns: object

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    B3.4/5.0

    Scored across 18 tools

    Disambiguation3/5

    The SQL-related tools (validate_sql, explain_sql, query_sql, preview_rows, list_distinct_values) have overlapping purposes, though descriptions help distinguish them. get_emissions_series and query_sql both return data but serve different intents, and get_measure vs list_measures is clear.

    Naming Consistency5/5

    Tool names follow a consistent verb_noun pattern: get_, list_, search_, describe_, validate_, explain_, query_, preview_. There are no mixed conventions or inconsistent styles.

    Tool Count3/5

    18 tools is on the heavier side, largely due to 12 SQL-focused tools. The server's purpose is broad (emissions, measures, SQL exploration), but the count feels slightly over-optimized for coherence.

    Completeness4/5

    The tool set covers emissions data, sector metadata, PaMs catalogue, and SQL exploration. Missing update/delete operations are appropriate for a read-only data server. Core workflows are supported with no dead ends.

    Maintenance

    ActivityNo data
    ResponsivenessOutdated data

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