Deutsche Bundesbank Statistics

Deutsche Bundesbank Statistics

Access macroeconomic data, exchange rates, interest rates, and financial statistics from the Deutsche Bundesbank via the SDMX REST API.

7 天免费 · 无需信用卡 · EU 托管

问 Deutsche 任何事

通过 AnythingMCP 对 Deutsche Bundesbank Statistics 试一个真实提示 — Claude 调用工具并返回答案。在你的消息上按 Enter 即可在 Cloud 安装。

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Deutsche Bundesbank Statistics · 通过 MCP 实时
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Claude 是 AI,可能会出错。请核对回答。

2 分钟设置

  1. 1在 cloud.anythingmcp.com 开始免费试用。
  2. 2在连接器商店点击 Deutsche Bundesbank Statistics。提示时粘贴凭据。
  3. 3生成 MCP API 密钥,将 AI 客户端指向生成的 MCP URL。
立即安装 Deutsche Bundesbank Statistics

Deutsche 指南

面向主流 AI 客户端的逐步设置。

配置 Deutsche Bundesbank Statistics

直接来自连接器定义:在哪里获取凭据、需要哪些权限,以及该适配器调用的是哪个 API。 由连接器作者以英文提供。

Read-only access to the Deutsche Bundesbank time series database through its SDMX REST web service (api.statistiken.bundesbank.de): ECB euro reference exchange rates, yields of German federal securities, and any other Bundesbank series by flow and key. No account or API key is needed.

Which tool

  • bundesbank_get_exchange_rates: daily ECB euro reference rate for one currency (series BBEX3 D.<CUR>.EUR.BB.AC.000). The value is units of foreign currency per 1 EUR: 1.1269 for USD means 1 EUR = 1.1269 USD; take 1/value for EUR per unit of foreign currency. The ECB sets these rates at about 14:15 CET on business days.
  • bundesbank_get_bund_yields: daily yield, in percent, derived from the term structure for German federal securities with a residual maturity of 1, 2, 5, 10 or 30 years (BBSIS D.I.ZAR.ZI.EUR.S1311.B.A604.R10XX.R.A.A._Z._Z.A for 10 years). 3.49 means 3.49 %.
  • bundesbank_get_timeseries: any other series, e.g. flow BBDP1 with key M.DE.N.VPI.C.A00000.I20.A (German consumer price index, 2020 = 100, monthly). Copy keys from the series pages of the Bundesbank time series database. Leave a key part empty as a wildcard or join codes with +: D.USD+GBP.EUR.BB.AC.000 returns two series, D..EUR.BB.AC.000 every reference rate.

Periods must match the frequency, which is the first part of the key: daily D takes 2026-10-01, monthly M takes 2026-10, quarterly Q takes 2026-Q3, annual A takes 2026. A mismatch returns HTTP 400 "Period restriction ... does not match frequency". The two dedicated tools are daily, so they need full dates. Always pass startPeriod: without it the whole history comes back (EUR/USD since 1999, about 10,000 observations).

Reading SDMX-JSON: values are under data.dataSets[0].series["0:0:..."].observations. Each observation key is an index into data.structure.dimensions.observation[0].values, which holds the dates; the first element of each observation is the value as a string (["1.1269", 5, 0]), the other numbers are attribute indexes. Weekends and holidays appear with a null value. With several series, each series key is a colon-separated list of indexes into data.structure.dimensions.series[n].values, which are sorted alphabetically, not in request order. The tools request detail=dataonly, so titles and units are not included.

Errors: an unknown flow or key, or a range with no data at all, returns HTTP 404 with a German message. A range that lies entirely in the future can return 200 with an empty series entry.

Cloud reachability: api.statistiken.bundesbank.de is publicly reachable over HTTPS.

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