広告掲載
MCP.so
ログイン

MCP FREDAPI

@Jaldekoa

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

Jaldekoa

MCP FREDAPI について

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

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

MCP FREDAPI の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

MCP FREDAPI のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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)

よくある質問

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.

コメント

「その他」の他のコンテンツ

Senso MCP for Joomla

sensomedia

Senso MCP turns a Joomla 5 or 6 site into a remote MCP server. It runs inside Joomla itself (no extra server, no Node.js bridge) and is secured with OAuth 2.1 and Joomla's own ACL. The free pack lets an AI assistant crea

Activepieces

activepieces

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

23.2K

Hindsight

vectorize-io

Hindsight: Agent Memory That Learns

50.4K
P

PickFu MCP

PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct

Lemon.io

lemon-io

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3

広告掲載