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mcp-nbb

mcp-nbb

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github.com/lacausecryptoFinance3Updated 28w ago

About mcp-nbb

mcp-nbb is an MCP server for querying the National Bank of Belgium’s SDMX statistical API. It helps clients discover and retrieve data across 221 dataflows using a local enriched catalogue, topic shortcuts, and series comparison.

Key features

  1. 01Search 221 local dataflow fiches
  2. 02Describe dimensions and code lists
  3. 03Query data with keys or filters
  4. 04Fetch common topics with shortcuts
  5. 05Align and compare 2–5 series
  6. 06Browse catalogues by category

Use cases

  1. 01Find dataflows about a statistical topic
  2. 02Fetch exchange-rate or GDP observations
  3. 03Compare economic series over a shared period

MCP support

It exposes six tools and three browsable resources to MCP clients over stdio, including search, description, data queries, comparisons, and catalogue browsing.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"lacausecrypto-mcp-nbb": {
"command": "uvx",
"args": [
"mcp-nbb"
],
"env": {
"NBB_LOG_LEVEL": "<NBB_LOG_LEVEL>",
"NBB_LOG_FORMAT": "<NBB_LOG_FORMAT>",
"NBB_HTTP_CACHE_ENABLED": "<NBB_HTTP_CACHE_ENABLED>"
}
}
}
}
Run commanduvx mcp-nbb
Environment variables to set
NBB_LOG_LEVELLog level: DEBUG, INFO, WARNING, ERROR
NBB_LOG_FORMATLog format: 'json' or 'console'
NBB_HTTP_CACHE_ENABLEDEnable the persistent HTTP disk cache

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypimcp-nbb0.1.2

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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

ToolAPI callsPurpose
nbb_search(query, …)0Fuzzy 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=…)1Generic data fetch. Either key (raw SDMX) or filters ({"FREQ":"D","EXR_CURRENCY":"USD"}).
nbb_quick(topic, …)1Topic-based shortcut for 18 common queries — see topic table below.
nbb_compare(series, …)NAlign 2-5 series on a common time index, downsampling finer frequencies via closing aggregation.
nbb_status()0Diagnostic snapshot: catalog, cache, API config.
nbb_quick topics
TopicDataflowParameters
exchange_rateBE2/DF_EXRcurrency, frequency
policy_rateBE2/DF_IRESCB—
mortgage_rateBE2/DF_MIR—
long_term_yieldBE2/DF_IROLOYLD—
inflation_hicpBE2/DF_HICP_2025—
inflation_nationalBE2/DF_NICP_2025—
ppiBE2/DF_PPI—
industrial_productionBE2/DF_INDPROD—
gdp / gdp_growthBE2/DF_QNA_DISS—
unemployment_rateBE2/DF_UNEMPLOY_RATE—
employmentBE2/DF_EMPLOY_DISS—
government_debtBE2/DF_CGD—
government_deficitBE2/DF_NFGOV_NET_DISS—
current_accountBE2/DF_BOPBPM6—
consumer_confidenceBE2/DF_CONSN—
business_confidenceBE2/DF_BUSSURVM—
trade_balanceBE2/DF_EXTERNAL_TRADE_OVERVIEW—
Resources
URIContent
nbb://catalogMarkdown 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.

VariableDefaultPurpose
NBB_API_BASE_URLhttps://nsidisseminate-stat.nbb.be/restSDMX REST base URL
NBB_API_TIMEOUT30Per-request timeout (s)
NBB_USER_AGENTbrowser UARequired for the WAF — default is a valid Chrome UA string
NBB_ORIGINhttps://dataexplorer.nbb.beRequired for the WAF
NBB_HTTP_CACHE_ENABLEDtruePersistent disk cache
NBB_HTTP_CACHE_PATHOS cache dirOverride cache location (defaults to platformdirs.user_cache_dir)
NBB_MEMORY_CACHE_TTL_DATA300TTL for data responses (s)
NBB_MEMORY_CACHE_TTL_STRUCTURE3600TTL for structure responses (s)
NBB_RATE_LIMIT_REQUESTS100Self-imposed rate limit (req/period)
NBB_RATE_LIMIT_PERIOD60Rate limit window (s)
NBB_RETRY_ATTEMPTS3Retries on transient errors
NBB_LOG_LEVELINFODEBUG/INFO/WARNING/ERROR
NBB_LOG_FORMATjsonjson 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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