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Riksbanken MCP Server

@aerugo

代码仓库

基本信息

分类

其他

许可证

Apache-2.0 license

传输方式

stdio

作者

aerugo

关于 Riksbanken MCP Server

An MCP Server for Riksbank data (monetary policy, SWEA, SWESTR)

#riksbank#mcp#data-server

Riksbanken MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "riksbank-mcp": {
      "command": "python",
      "args": [
        "-m",
        "riksbank_mcp.server"
      ]
    }
  }
}

Riksbanken MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Riksbanken MCP Server?

An MCP server for retrieving macroeconomic and financial data from the Sveriges Riksbank. It provides tools for monetary policy forecasts, exchange and interest rates via the SWEA API, and short-term money market rates via SWESTR. Built with asynchronous programming using httpx and pydantic for data validation.

How to use Riksbanken MCP Server?

Install with Python 3.13+ using pip install -e .. Launch via the CLI command riksbanken-mcp or by running python -m riksbank_mcp.server. The server communicates over stdio and registers all MCP tools automatically.

Key features of Riksbanken MCP Server

  • Monetary policy tools: list rounds and fetch forecast data (GDP, CPI, etc.)
  • SWEA tools: repo rate, exchange rates (USD/SEK, EUR/SEK, GBP/SEK), mortgage rates
  • SWESTR tools: daily short-term rate and compounded averages
  • Fully asynchronous, using Python 3.13's async/await
  • Robust data validation with pydantic models

Use cases of Riksbanken MCP Server

  • Retrieve GDP forecast data for a specific monetary policy round
  • Get the latest published SWESTR short-term interest rate
  • Fetch USD/SEK exchange rate time series for analysis
  • Obtain average mortgage interest rates from the Riksbank
  • Access historical monetary policy rounds and their indicators

常见问题

1

What Python version is required?

Python 3.13 or higher is required.

2

How do I install the server?

Install the package in editable mode using `pip install -e .` in the project root.

3

How do I launch the server?

Run the CLI command `riksbanken-mcp` or execute `python -m riksbank_mcp.server`.

4

What data sources does it access?

It accesses three Riksbank APIs: Monetary Policy API (forecasts), SWEA API (exchange/interest rates), and SWESTR API (short-term rates).

5

What transport does the server use?

It uses stdio transport to communicate with the MCP client.

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