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MCP FREDAPI

@Jaldekoa

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

Jaldekoa

关于 MCP FREDAPI

FRED (Federal Reserve Economic Data) API integration with Model Context Protocol (MCP)

#finance#mcp#fred#fred-api#llm#llms#mcp-server

MCP FREDAPI 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-fredapi": {
      "command": "uv",
      "args": [
        "run",
        "--with",
        "mcp",
        "--with",
        "httpx",
        "mcp",
        "run",
        "server.py"
      ]
    }
  }
}

MCP FREDAPI 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 MCP-FREDAPI?

MCP-FREDAPI is an MCP server that provides access to economic data from the Federal Reserve Bank of St. Louis (FRED) through the Model Context Protocol. It integrates with the official FRED API, focusing on the series_observations endpoint to retrieve time series data for economic indicators. This server is designed for AI assistants like Claude, enabling them to fetch FRED data directly when used with Cursor or other MCP-compatible environments.

How to use MCP-FREDAPI?

Installation is done via pip (with mcp, httpx, python-dotenv) or uv (recommended). After cloning the repository, set your FRED API key in a .env file. For Cursor, add the server to ~/.cursor/mcp.json using the uv run command. Use the tool @mcp-fredapi:get_fred_series_observations within Claude to query series. Note that only certain parameters currently work: series_id, sort_order, units, frequency, aggregation_method, and output_type. Other parameters like observation_start, limit, and vintage_dates are not working due to MCP limitations.

Key features of MCP-FREDAPI

  • Retrieves economic time series data from FRED
  • Supports multiple frequency, units, and aggregation options
  • Integrates with Claude in Cursor via MCP
  • Uses the official FRED API series_observations endpoint
  • Provides simple parameter set (6 working parameters)
  • Easy configuration with .env file and mcp.json

Use cases of MCP-FREDAPI

  • Getting the latest GDP data from FRED
  • Fetching inflation rate using CPI time series with percent change
  • Retrieving annual GDP data for long‑term trends
  • Sorting observations in descending order (newest first)
  • Obtaining data in different output formats (e.g., output_type 2)

常见问题

1

What is MCP-FREDAPI used for?

It enables AI assistants to query economic time series from the Federal Reserve’s FRED database directly within MCP-compatible environments like Cursor.

2

How do I get a FRED API key?

You can obtain a free API key from the FRED API website (https://fred.stlouisfed.org/docs/api/api_key.html). Set it in the `FRED_API_KEY` environment variable in a `.env` file.

3

Which parameters of `get_fred_series_observations` currently work?

Only `series_id`, `sort_order`, `units`, `frequency`, `aggregation_method`, and `output_type` are functional. Parameters like `realtime_start`, `realtime_end`, `limit`, `offset`, `observation_start`, `observation_end`, and `vintage_dates` are not working.

4

How do I configure MCP-FREDAPI with Cursor?

Add a configuration entry to `~/.cursor/mcp.json` using the `uv` command pointing to your local repository directory. The README provides a full JSON example.

5

What are common economic series IDs I can use?

Examples include `GDP` (Gross Domestic Product), `CPIAUCSL` (Consumer Price Index), `UNRATE` (Unemployment Rate), `FEDFUNDS` (Federal Funds Rate), and `A191RL1Q225SBEA` (Real GDP). The README lists several common IDs.

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