MarketBrief

MarketBrief MCP server License: MIT Python 3.11+

Turn 40+ data sources into a daily Wall Street-style market briefing — delivered to your Telegram, automatically.

MarketBrief is an open-source framework that fetches real-time market data, aggregates news from 40+ RSS feeds, and uses Claude AI to generate structured analyst-grade reports. Think of it as your personal Bloomberg terminal distilled into a daily briefing.

Every morning at 7:00 AM, you wake up to this in Telegram:

  "Rates rise, equities capsize"

  TODAY'S FOCUS:
  - CPI 08:30 ET — beat eases Fed, miss reprices June cut
  - Gold $3,100 support — break below = safe-haven bid fading
  - Trump tariff speech 14:00 ET — new China tariffs trigger risk-off

  4 analyst-grade issues with source citations...
  Positioning table (OW/UW/MW)...
  Categorized news digest with 30+ items...
  Economic calendar with 10+ events...

What Problem Does This Solve?

If you're a retail investor, crypto trader, or market enthusiast, you probably:

Check 5-10 websites every morning for market updates
Miss important economic data releases
Lack a systematic way to connect dots across asset classes
Wish you had an analyst writing you a daily briefing

MarketBrief automates all of this. It pulls data from official sources (Fed, SEC, FRED, ECB), market data providers (Yahoo Finance, CoinGecko), and 40+ news feeds — then uses Claude AI to synthesize everything into a structured briefing with specific price levels, source citations, and actionable positioning.

How It Works

                 YOU CONFIGURE                          IT FETCHES
           ┌─────────────────────┐            ┌──────────────────────┐
           │  portfolio.json     │            │  Yahoo Finance       │
           │  - your holdings    │            │  FRED (official)     │
           │  - interest areas   │            │  CoinGecko           │
           │                     │            │  SoSoValue (ETF)     │
           │  dashboard.json     │            │  Frankfurter (ECB)   │
           │  - assets to track  │            │  40+ RSS feeds       │
           │                     │            │  Forex Factory       │
           │  feeds.json         │            │  MyFXBook            │
           │  - news sources     │            └──────────┬───────────┘
           └─────────┬───────────┘                       │
                     │                                   │
                     ▼                                   ▼
           ┌─────────────────────────────────────────────────────────┐
           │              Claude AI (2-stage pipeline)               │
           │                                                         │
           │  Stage 1: Pre-flight Editorial Analysis                 │
           │  → Identifies market regime (risk-on/off/rotation)      │
           │  → Groups news into narrative threads                   │
           │  → Kills 30-50% of noise items                          │
           │                                                         │
           │  Stage 2: Structured Report Generation                  │
           │  → 4-issue analysis (what/reaction/contradiction/view)  │
           │  → Source-cited positioning table                        │
           │  → Categorized news digest                              │
           │  → Economic calendar with impact scoring                │
           └─────────────────────┬───────────────────────────────────┘
                                 │
                    ┌────────────┼────────────┐
                    ▼            ▼            ▼
              ┌──────────┐ ┌──────────┐ ┌──────────┐
              │ Telegram  │ │  Feishu  │ │ Terminal │
              │ (HTML+PDF)│ │  (Card)  │ │  (JSON)  │
              └──────────┘ └──────────┘ └──────────┘

No AI key? No problem. Without ANTHROPIC_API_KEY, MarketBrief still outputs a complete data-only report: market snapshot, news feed, economic calendar — just without the AI commentary.

Quick Start

1. Clone and install

git clone https://github.com/yukipanpan/marketbrief.git
cd marketbrief
pip install -e .

2. Configure

cp config/portfolio.example.json config/portfolio.json
cp config/dashboard.example.json config/dashboard.json
cp config/feeds.example.json config/feeds.json
cp .env.example .env

Edit .env with your API keys:

# Required for AI analysis (skip for data-only mode)
ANTHROPIC_API_KEY="sk-ant-your-key-here"

# Optional — enhances data coverage
FRED_API_KEY="your-fred-key"              # Free at https://fred.stlouisfed.org/docs/api/api_key.html
SOSOVALUE_API_KEY="your-sosovalue-key"    # ETF flow data

# Optional — delivery channels
TELEGRAM_BOT_TOKEN="your-bot-token"       # Create at https://t.me/BotFather
TELEGRAM_CHAT_ID="your-chat-id"

3. Run

# Data-only mode (no AI key needed, free)
marketbrief generate --no-ai

# Full AI-powered report
marketbrief generate --output json

# Fetch specific data
marketbrief fetch market      # Live prices: equities, FX, commodities, crypto
marketbrief fetch news        # Aggregated news from 40+ feeds
marketbrief fetch calendar    # Economic calendar (Forex Factory + FRED)
marketbrief fetch crypto      # BTC, ETH, SOL prices from CoinGecko
marketbrief fetch etf         # BTC/ETH spot ETF flows from SoSoValue
marketbrief fetch fred        # Official US economic data (CPI, GDP, NFP...)

What You Can Customize

This is a template framework, not a finished product. Everything is designed to be modified:

Assets & Portfolio (`config/portfolio.json`)

Track whatever you care about. The default is US-focused, but you can:

{
  "holdings": [
    {"name": "Nikkei 225 ETF", "ticker": "EWJ", "category": "Japan Equities"},
    {"name": "Copper Futures", "ticker": "HG=F", "category": "Industrial Metals"},
    {"name": "Bitcoin", "ticker": "BTC-USD", "category": "Crypto"}
  ],
  "interest_areas": ["Semiconductors", "Uranium", "Japan"],
  "focus_regions": ["Japan", "US", "EU"]
}

Dashboard (`config/dashboard.json`)

Add or remove any asset that Yahoo Finance supports:

{
  "equities": [
    {"label": "Nikkei 225", "yf": "^N225"},
    {"label": "FTSE 100",  "yf": "^FTSE"},
    {"label": "DAX",       "yf": "^GDAXI"}
  ],
  "crypto_ids": ["bitcoin", "ethereum", "solana", "dogecoin"]
}

News Sources (`config/feeds.json`)

Add any RSS feed. Organize by category for smart filtering:

{
  "feeds": [
    {"name": "my_niche_blog", "category": "research", "url": "https://example.com/feed.xml"},
    {"name": "industry_news", "category": "markets",  "url": "https://industry.com/rss"}
  ]
}

Categories matter: government and geopolitics feeds are never truncated. macro and ai_tech feeds get a 7-day lookback (vs 36 hours for news).

AI Analysis Style (`config/prompts/`)

The Claude prompts are fully editable. You can:

Change the output language (English, Chinese, or mixed)
Adjust the number of analysis issues (default: 4)
Modify the analyst voice (assertive sell-side vs neutral)
Add custom analysis frameworks
Change the positioning stance options

Use Cases & Ideas

MarketBrief is a starting point. Here's what you could build with it:

Use Case	How
Personal daily briefing	Configure your portfolio + Telegram, set up GitHub Actions cron
Crypto-focused tracker	Remove equities, add 20 crypto feeds, track DeFi protocols
Macro research assistant	Heavy on FRED + Fed + Treasury feeds, focus on rates/FX
Team morning standup	Push to a shared Telegram channel or Feishu group
AI agent data source	Use the MCP Server to give any AI assistant live market data
Trading signal pipeline	Add your own scoring logic to the news/calendar fetchers
Multi-language briefing	Change `OUTPUT_LANGUAGE` in the prompt to Chinese/Japanese
Earnings season tracker	Add earnings-focused RSS feeds, customize calendar filtering

MCP Server

MarketBrief can run as an MCP server, letting any AI assistant (Claude Desktop, Claude Code, etc.) call market data tools directly.

pip install marketbrief[mcp]
python -m marketbrief.mcp_server

Add to your Claude Desktop config (claude_desktop_config.json):

{
  "mcpServers": {
    "marketbrief": {
      "command": "python",
      "args": ["-m", "marketbrief.mcp_server"],
      "env": {"FRED_API_KEY": "your-key"}
    }
  }
}

7 Available Tools

Tool	What It Does	Needs AI Key
`generate_report`	Full AI-powered briefing pipeline	Yes
`fetch_market_data`	Equities, commodities, FX, rates, crypto snapshot	No
`fetch_news`	Aggregate 40+ RSS feeds with deduplication	No
`fetch_calendar`	Economic calendar (Forex Factory + MyFXBook)	No
`analyze_regime`	Macro regime detection (yield curve, credit, rotation)	No
`analyze_breadth`	Market breadth signals (advance/decline, MA crossovers)	No
`fetch_etf_flows`	BTC/ETH spot ETF daily flows and AUM	No

Most tools work without any API key — only generate_report needs Anthropic.

Automated Delivery (GitHub Actions)

Run MarketBrief on a schedule — no server needed:

Copy the workflow template:

mkdir -p .github/workflows
cp workflows/morning_report.yml.template .github/workflows/morning_report.yml

Add secrets in your GitHub repo (Settings → Secrets → Actions):
- ANTHROPIC_API_KEY
- TELEGRAM_BOT_TOKEN + TELEGRAM_CHAT_ID
- FRED_API_KEY (optional)
Adjust the cron schedule for your timezone (see workflows/README.md).
Push — reports will be generated and delivered automatically.

Data Sources

Source	Data	Cost
Yahoo Finance	Equities, commodities, FX, rates, sectors	Free
Frankfurter API	ECB official exchange rates	Free
CoinGecko	Crypto prices + market cap	Free
FRED	Official US economic data (CPI, GDP, NFP, yields)	Free (API key)
SoSoValue	BTC/ETH spot ETF daily flows + AUM	Free (API key)
Forex Factory	Economic calendar with times + impact	Free
MyFXBook	Calendar with actual/forecast/previous	Free
40+ RSS feeds	News from Fed, SEC, CNBC, Bloomberg, CoinDesk, etc.	Free

Project Structure

marketbrief/
├── src/marketbrief/
│   ├── core/
│   │   ├── config.py       # Unified config: JSON + env vars
│   │   ├── types.py        # Pydantic models for all data
│   │   ├── analysis.py     # Claude AI 2-stage pipeline
│   │   └── pipeline.py     # Main orchestrator
│   ├── fetchers/            # 6 data source modules
│   ├── renderers/           # HTML, Telegram, PDF, Markdown
│   ├── delivery/            # Telegram, Feishu, stdout
│   └── skills/              # Trading analysis modules
├── config/                  # Customizable JSON configs + prompts
├── mcp_server/              # MCP Server (7 tools)
├── claude_skill/            # Claude Code Skill definition
└── workflows/               # GitHub Actions templates

Contributing

PRs welcome! Some areas where contributions would be especially valuable:

New fetchers: Add data sources (e.g., Binance, TradingView, Alpha Vantage)
Renderers: Improve HTML/PDF output, add new formats (Slack, Discord, email)
Trading skills: Port regime detector and breadth analyzer
Localization: Prompts for other languages (Japanese, Korean, Spanish)
Tests: Unit tests for fetchers and the analysis pipeline

License

MIT — use it however you want.

Market Brief

MarketBrief

What Problem Does This Solve?

How It Works

Quick Start

1. Clone and install

2. Configure

3. Run

What You Can Customize

Assets & Portfolio (`config/portfolio.json`)

Dashboard (`config/dashboard.json`)

News Sources (`config/feeds.json`)

AI Analysis Style (`config/prompts/`)

Use Cases & Ideas

MCP Server

7 Available Tools

Automated Delivery (GitHub Actions)

Data Sources

Project Structure

Contributing

License

Latest Blog Posts

MCP directory API

MarketBrief

What Problem Does This Solve?

How It Works

Quick Start

1. Clone and install

2. Configure

3. Run

What You Can Customize

Assets & Portfolio (config/portfolio.json)

Dashboard (config/dashboard.json)

News Sources (config/feeds.json)

AI Analysis Style (config/prompts/)

Use Cases & Ideas

MCP Server

7 Available Tools

Automated Delivery (GitHub Actions)

Data Sources

Project Structure

Contributing

License

Latest Blog Posts

MCP directory API

Assets & Portfolio (`config/portfolio.json`)

Dashboard (`config/dashboard.json`)

News Sources (`config/feeds.json`)

AI Analysis Style (`config/prompts/`)