mcp-nbb

mcp-nbb

Enables discovery and retrieval of National Bank of Belgium statistical data across 221 SDMX dataflows, with search, descriptions, custom queries, and comparisons of economic indicators.

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README

mcp-nbb

<!-- mcp-name: io.github.lacausecrypto/mcp-nbb -->

CI PyPI version Python versions License: MIT MCP compatible

MCP server for the National Bank of Belgium SDMX statistical API.

Exposes the 221 NBB dataflows (194 BE2 + 27 IMF/SDDS) as 6 LLM-friendly tools and 3 browsable resources, with a bundled enriched catalogue so the LLM can discover, describe, and query dataflows without redundant API calls.

  • Upstream: https://nsidisseminate-stat.nbb.be/rest (NSI Web Service v8)
  • Transport: stdio (standard MCP)
  • Python: 3.11+
  • Platforms: Linux, macOS, Windows
  • 221 dataflows classified into 14 categories — see DATAFLOWS_CATALOG.md

Install

From PyPI (recommended)

# With uv (runs without installing globally)
uvx mcp-nbb

# Or install into a regular venv
pip install mcp-nbb

From source

git clone https://github.com/lacausecrypto/mcp-nbb.git
cd mcp-nbb
pip install -e .

The package ships with the full enriched catalogue (~9 MB under src/nbb_mcp/data/catalog/). No build step is required for regular use.


Claude Desktop configuration

Edit ~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows, or the equivalent on Linux.

Using uvx (recommended once published to PyPI)

{
  "mcpServers": {
    "nbb": {
      "command": "uvx",
      "args": ["mcp-nbb"]
    }
  }
}

From a local editable install

macOS / Linux:

{
  "mcpServers": {
    "nbb": {
      "command": "/Users/you/projects/mcp-nbb/.venv/bin/mcp-nbb"
    }
  }
}

Windows:

{
  "mcpServers": {
    "nbb": {
      "command": "C:\\Users\\you\\projects\\mcp-nbb\\.venv\\Scripts\\mcp-nbb.exe"
    }
  }
}

Restart Claude Desktop — the 6 nbb_* tools appear in the MCP panel.


Tools

Tool API calls Purpose
nbb_search(query, …) 0 Fuzzy search over the 221 local fiches (en/fr/nl/de).
nbb_describe(dataflow_id, …) 0 (default) Full enriched fiche — dimensions, codelists, key template, common queries. force_refresh=True revalidates live.
nbb_query(dataflow_id, key=…, filters=…) 1 Generic data fetch. Either key (raw SDMX) or filters ({"FREQ":"D","EXR_CURRENCY":"USD"}).
nbb_quick(topic, …) 1 Topic-based shortcut for 18 common queries — see topic table below.
nbb_compare(series, …) N Align 2-5 series on a common time index, downsampling finer frequencies via closing aggregation.
nbb_status() 0 Diagnostic snapshot: catalog, cache, API config.

nbb_quick topics

Topic Dataflow Parameters
exchange_rate BE2/DF_EXR currency, frequency
policy_rate BE2/DF_IRESCB —
mortgage_rate BE2/DF_MIR —
long_term_yield BE2/DF_IROLOYLD —
inflation_hicp BE2/DF_HICP_2025 —
inflation_national BE2/DF_NICP_2025 —
ppi BE2/DF_PPI —
industrial_production BE2/DF_INDPROD —
gdp / gdp_growth BE2/DF_QNA_DISS —
unemployment_rate BE2/DF_UNEMPLOY_RATE —
employment BE2/DF_EMPLOY_DISS —
government_debt BE2/DF_CGD —
government_deficit BE2/DF_NFGOV_NET_DISS —
current_account BE2/DF_BOPBPM6 —
consumer_confidence BE2/DF_CONSN —
business_confidence BE2/DF_BUSSURVM —
trade_balance BE2/DF_EXTERNAL_TRADE_OVERVIEW —

Resources

URI Content
nbb://catalog Markdown index of all 221 dataflows by category.
nbb://dataflow/{agency}/{dataflow_id} Full enriched fiche for one flow.
nbb://category/{category} All flows in a category.

Example prompts in Claude

"What's the EUR/USD exchange rate over the last month?" → nbb_quick("exchange_rate", currency="USD", frequency="D", last_n_observations=30)

"Compare Belgian GDP growth to the unemployment rate since 2020." → nbb_compare([{dataflow_id:"DF_QNA_DISS",label:"GDP"}, {dataflow_id:"DF_UNEMPLOY_RATE",label:"Unemployment"}], start_period="2020-Q1")

"Find NBB dataflows about consumer credit." → nbb_search("consumer credit") → nbb_describe(...) → nbb_query(...).


Configuration (environment variables)

All settings have sensible defaults; override via environment variables.

Variable Default Purpose
NBB_API_BASE_URL https://nsidisseminate-stat.nbb.be/rest SDMX REST base URL
NBB_API_TIMEOUT 30 Per-request timeout (s)
NBB_USER_AGENT browser UA Required for the WAF — default is a valid Chrome UA string
NBB_ORIGIN https://dataexplorer.nbb.be Required for the WAF
NBB_HTTP_CACHE_ENABLED true Persistent disk cache
NBB_HTTP_CACHE_PATH OS cache dir Override cache location (defaults to platformdirs.user_cache_dir)
NBB_MEMORY_CACHE_TTL_DATA 300 TTL for data responses (s)
NBB_MEMORY_CACHE_TTL_STRUCTURE 3600 TTL for structure responses (s)
NBB_RATE_LIMIT_REQUESTS 100 Self-imposed rate limit (req/period)
NBB_RATE_LIMIT_PERIOD 60 Rate limit window (s)
NBB_RETRY_ATTEMPTS 3 Retries on transient errors
NBB_LOG_LEVEL INFO DEBUG/INFO/WARNING/ERROR
NBB_LOG_FORMAT json json or console

The default cache path resolves to:

  • Linux: ~/.cache/mcp-nbb/
  • macOS: ~/Library/Caches/mcp-nbb/
  • Windows: %LOCALAPPDATA%\mcp-nbb\Cache\

Refreshing the catalogue

The bundled src/nbb_mcp/data/catalog/ snapshot is regenerated by fetching the DSD + codelists for each of the 221 dataflows:

mcp-nbb-build-catalog --force

Options:

  • --force — rebuild every fiche, ignoring existing ones.
  • --limit N — only process the first N flows (debug).
  • --only BE2/DF_EXR,BE2/DF_HICP_2025 — rebuild specific flows.
  • --concurrency 5 — parallel DSD requests.

A full rebuild takes ~80 seconds against the live API. Catalogue footprint is capped at ~9 MB by truncating codelists to 200 codes per dimension (some IMF flows have 65 000+ codes).

A weekly GitHub Action (build-catalog.yml) rebuilds the catalogue and opens a PR if drift is detected.


Troubleshooting

"WAF returned an HTML redirect"

The NBB API is behind a WAF that returns an HTML 200 redirect for any request without a browser-like User-Agent and an Origin: https://dataexplorer.nbb.be header. The client injects both by default. If you override NBB_USER_AGENT, keep a genuine-looking browser string.

"HTTP 404 NoResultsFound" on a data query

The SDMX key didn't match any series. Use nbb_describe(dataflow_id) to see valid codes, or pass filters={} / key="all" to retrieve everything and then narrow via start_period/end_period.

"Too many observations, truncated"

Every data response is capped at max_observations=200 by default. Increase via nbb_query(max_observations=1000) or narrow the query with a period window.

Catalogue not found

If you run without the bundled src/nbb_mcp/data/catalog/, run mcp-nbb-build-catalog once to populate it.


Development

See CONTRIBUTING.md for the full dev workflow. Short form:

pip install -e ".[dev]"
pytest                     # full suite (unit + integration + E2E)
pytest -m "not e2e"        # fast subset
ruff check src tests
mcp-nbb-build-catalog      # refresh the bundled catalogue
mcp-nbb                    # run the server (stdio)

CI runs on Linux, macOS and Windows with Python 3.11 and 3.12. See DATAFLOWS_CATALOG.md for the classified inventory.


Security

Please report vulnerabilities privately — see SECURITY.md.

License

MIT — see LICENSE for the full text.

Disclaimer

This project is not affiliated with or endorsed by the National Bank of Belgium. It is an independent client of their public SDMX REST API. The browser-like User-Agent and Origin headers are required by the upstream WAF and used solely to access public statistical data. Users are responsible for complying with NBB's terms of use.

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