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