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import requests
import gradio as gr
from typing import Optional, List, Dict, Any
from datetime import datetime, timedelta
from mcp.server.fastmcp import FastMCP
# Initialize FastMCP server with standard MCP protocol (JSON-RPC over SSE)
mcp = FastMCP("finnhub-market-info")
# Global variable to store API key
API_KEY = None
def set_api_key(key: str):
"""Set the Finnhub API key"""
global API_KEY
API_KEY = key
def get_api_key() -> Optional[str]:
"""Get the Finnhub API key"""
return API_KEY or os.getenv("FINNHUB_API_KEY")
def make_finnhub_request(endpoint: str, params: Dict[str, Any]) -> Dict[str, Any]:
"""
Make a request to Finnhub API
Args:
endpoint: API endpoint path
params: Query parameters
Returns:
API response as dictionary
"""
api_key = get_api_key()
if not api_key:
return {"error": "API key not configured. Please set your Finnhub API key."}
params["token"] = api_key
base_url = "https://finnhub.io/api/v1"
url = f"{base_url}/{endpoint}"
try:
response = requests.get(url, params=params, timeout=10)
response.raise_for_status()
return response.json()
except requests.exceptions.RequestException as e:
return {"error": f"API request failed: {str(e)}"}
@mcp.tool()
def get_quote(symbol: str) -> dict:
"""
Get real-time quote data for US stocks. Use this tool when you need current stock price
information and market performance metrics for any US-listed stock.
When to use:
- User asks "What's the current price of [stock]?"
- Need real-time stock quote data
- User mentions "stock price", "current value", "how is [stock] trading?"
- Want to check latest market price and daily changes
Examples:
- "What's Apple's stock price?" โ get_quote(symbol="AAPL")
- "How is Tesla trading today?" โ get_quote(symbol="TSLA")
- "Show me Microsoft's current quote" โ get_quote(symbol="MSFT")
Args:
symbol: Stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA', 'GOOGL')
Returns:
dict: Real-time quote data containing:
- symbol: Stock ticker symbol
- current_price: Current trading price (c)
- change: Price change in dollars (d)
- percent_change: Price change in percentage (dp)
- high: Today's high price (h)
- low: Today's low price (l)
- open: Opening price (o)
- previous_close: Previous trading day's closing price (pc)
- timestamp: Quote timestamp
"""
result = make_finnhub_request("quote", {"symbol": symbol.upper()})
if "error" in result:
return {
"error": result["error"],
"symbol": symbol.upper()
}
# Return structured data
return {
"symbol": symbol.upper(),
"current_price": result.get('c'),
"change": result.get('d'),
"percent_change": result.get('dp'),
"high": result.get('h'),
"low": result.get('l'),
"open": result.get('o'),
"previous_close": result.get('pc'),
"timestamp": datetime.fromtimestamp(result.get('t', 0)).strftime('%Y-%m-%d %H:%M:%S') if result.get('t') else None
}
@mcp.tool()
def get_market_news(category: str = "general", min_id: int = 0) -> dict:
"""
Get latest market news across different categories. Use this tool when you need current market
news, trends, and developments in general markets, forex, cryptocurrency, or mergers.
When to use:
- User asks "What's the latest market news?"
- Need current financial news and market updates
- User mentions "news", "market trends", "what's happening in the market?"
- Want to get news for specific categories (forex, crypto, M&A)
Categories explained:
- general: General market news, stocks, economy, major companies
- forex: Foreign exchange and currency market news
- crypto: Cryptocurrency and blockchain news
- merger: Mergers & acquisitions, corporate deals
Examples:
- "What's the latest market news?" โ get_market_news(category="general")
- "Show me crypto news" โ get_market_news(category="crypto")
- "Any forex updates?" โ get_market_news(category="forex")
- "Recent merger news" โ get_market_news(category="merger")
Args:
category: News category - "general", "forex", "crypto", or "merger" (default: "general")
min_id: Minimum news ID for pagination (default: 0, use 0 to get latest news)
Returns:
dict: Market news data containing:
- category: News category requested
- total_articles: Total number of articles returned
- articles: List of news articles (max 10), each with:
* id: Article ID
* headline: News headline
* summary: Brief summary of the article
* source: News source
* url: Link to full article
* published: Publication timestamp
* image: Article image URL (if available)
"""
params = {"category": category}
if min_id > 0:
params["minId"] = min_id
result = make_finnhub_request("news", params)
if isinstance(result, dict) and "error" in result:
return {
"error": result["error"],
"category": category
}
if not result or len(result) == 0:
return {
"category": category,
"total_articles": 0,
"articles": [],
"message": "No news articles found for this category"
}
# Format the news articles
articles = []
for article in result[:10]: # Limit to 10 articles
articles.append({
"id": article.get('id'),
"headline": article.get('headline', 'No headline'),
"summary": article.get('summary', ''),
"source": article.get('source', 'Unknown'),
"url": article.get('url'),
"published": datetime.fromtimestamp(article.get('datetime', 0)).strftime('%Y-%m-%d %H:%M:%S') if article.get('datetime') else None,
"image": article.get('image')
})
return {
"category": category,
"total_articles": len(articles),
"articles": articles
}
@mcp.tool()
def get_company_news(symbol: str, from_date: Optional[str] = None, to_date: Optional[str] = None) -> dict:
"""
Get latest news for a specific company by stock symbol. This endpoint provides company-specific
news, press releases, and announcements. Only available for North American companies.
When to use:
- User asks about a specific company's news (e.g., "Apple news", "Tesla updates")
- Need company-specific announcements or press releases
- User mentions "[company name] news", "recent [company] developments"
- Want to filter news by date range
Date range tips:
- Default: Last 7 days if no dates specified
- Can go back up to several years
- Use YYYY-MM-DD format (e.g., "2024-01-01")
Examples:
- "What's the latest Apple news?" โ get_company_news(symbol="AAPL")
- "Tesla news from last month" โ get_company_news(symbol="TSLA", from_date="2024-10-01", to_date="2024-10-31")
- "Microsoft announcements this week" โ get_company_news(symbol="MSFT")
- "Show me Amazon news from January 2024" โ get_company_news(symbol="AMZN", from_date="2024-01-01", to_date="2024-01-31")
Args:
symbol: Company stock ticker symbol (e.g., 'AAPL', 'MSFT', 'TSLA', 'GOOGL')
Must be a North American (US/Canada) listed company
from_date: Start date in YYYY-MM-DD format (default: 7 days ago)
to_date: End date in YYYY-MM-DD format (default: today)
Returns:
dict: Company news data containing:
- symbol: Stock ticker symbol
- from_date: Start date of news search
- to_date: End date of news search
- total_articles: Number of articles found
- articles: List of news articles (max 10), each with:
* id: Article ID
* headline: News headline
* summary: Article summary
* source: News source
* url: Link to full article
* published: Publication date and time
* image: Article image URL (if available)
* related_symbols: Other stock symbols mentioned
"""
# Set default dates if not provided
if not to_date:
to_date = datetime.now().strftime('%Y-%m-%d')
if not from_date:
from_date = (datetime.now() - timedelta(days=7)).strftime('%Y-%m-%d')
params = {
"symbol": symbol.upper(),
"from": from_date,
"to": to_date
}
result = make_finnhub_request("company-news", params)
if isinstance(result, dict) and "error" in result:
return {
"error": result["error"],
"symbol": symbol.upper(),
"from_date": from_date,
"to_date": to_date
}
if not result or len(result) == 0:
# Provide helpful suggestions based on the symbol
suggestion = "Try expanding the date range or check if the symbol is correct."
if symbol.upper() in ["BABA", "BIDU", "JD", "PDD", "NIO"]:
suggestion = "Note: Chinese ADRs may have limited news coverage. Try US companies like AAPL, MSFT, TSLA, or GOOGL for better results."
return {
"symbol": symbol.upper(),
"from_date": from_date,
"to_date": to_date,
"total_articles": 0,
"articles": [],
"message": f"No news articles found for {symbol.upper()} between {from_date} and {to_date}.",
"suggestion": suggestion,
"note": "Company news is only available for North American companies. Some companies may have limited news coverage during certain periods."
}
# Format the news articles
articles = []
for article in result[:10]: # Limit to 10 articles
articles.append({
"id": article.get('id'),
"headline": article.get('headline', 'No headline'),
"summary": article.get('summary', ''),
"source": article.get('source', 'Unknown'),
"url": article.get('url'),
"published": datetime.fromtimestamp(article.get('datetime', 0)).strftime('%Y-%m-%d %H:%M:%S') if article.get('datetime') else None,
"image": article.get('image'),
"related_symbols": article.get('related', [])
})
return {
"symbol": symbol.upper(),
"from_date": from_date,
"to_date": to_date,
"total_articles": len(articles),
"articles": articles
}
# Gradio Interface Functions
def configure_api_key(api_key: str) -> str:
"""Configure the Finnhub API key"""
if not api_key or api_key.strip() == "":
return "โ Please provide a valid API key"
set_api_key(api_key.strip())
return "โ
API Key configured successfully! You can now use the MCP tools."
def test_quote_tool(symbol: str) -> str:
"""Test the Quote tool"""
if not symbol or symbol.strip() == "":
return "โ Please provide a stock symbol"
result = get_quote(symbol.strip())
if "error" in result:
return f"โ Error: {result['error']}"
# Format for display
output = f"""๐ Real-time Quote for {result['symbol']}
Current Price: ${result.get('current_price', 'N/A')}
Change: ${result.get('change', 'N/A')}
Percent Change: {result.get('percent_change', 'N/A')}%
High: ${result.get('high', 'N/A')}
Low: ${result.get('low', 'N/A')}
Open: ${result.get('open', 'N/A')}
Previous Close: ${result.get('previous_close', 'N/A')}
Timestamp: {result.get('timestamp', 'N/A')}
"""
return output.strip()
def test_market_news_tool(category: str) -> str:
"""Test the Market News tool"""
result = get_market_news(category)
if "error" in result:
return f"โ Error: {result['error']}"
if result.get('total_articles', 0) == 0:
return result.get('message', 'No news articles found')
# Format for display
output = f"๐ฐ Latest Market News ({result['category']})\n"
output += f"Total Articles: {result['total_articles']}\n\n"
for idx, article in enumerate(result['articles'], 1):
output += f"{idx}. {article['headline']}\n"
output += f" Source: {article['source']}\n"
if article.get('summary'):
summary = article['summary'][:200] + "..." if len(article['summary']) > 200 else article['summary']
output += f" Summary: {summary}\n"
output += f" URL: {article.get('url', 'N/A')}\n"
output += f" Published: {article.get('published', 'N/A')}\n\n"
return output.strip()
def test_company_news_tool(symbol: str, from_date: str, to_date: str) -> str:
"""Test the Company News tool"""
if not symbol or symbol.strip() == "":
return "โ Please provide a stock symbol"
# Use None if dates are empty
from_d = from_date.strip() if from_date and from_date.strip() else None
to_d = to_date.strip() if to_date and to_date.strip() else None
result = get_company_news(symbol.strip(), from_d, to_d)
if "error" in result:
return f"โ Error: {result['error']}"
if result.get('total_articles', 0) == 0:
# Show detailed message with suggestions
output = f"โ ๏ธ {result.get('message', 'No news articles found')}\n\n"
if 'suggestion' in result:
output += f"๐ก {result['suggestion']}\n\n"
if 'note' in result:
output += f"๐ {result['note']}"
return output
# Format for display
output = f"๐ฐ Company News for {result['symbol']}\n"
output += f"Period: {result['from_date']} to {result['to_date']}\n"
output += f"Total Articles: {result['total_articles']}\n\n"
for idx, article in enumerate(result['articles'], 1):
output += f"{idx}. {article['headline']}\n"
output += f" Source: {article['source']}\n"
if article.get('summary'):
summary = article['summary'][:200] + "..." if len(article['summary']) > 200 else article['summary']
output += f" Summary: {summary}\n"
output += f" URL: {article.get('url', 'N/A')}\n"
output += f" Published: {article.get('published', 'N/A')}\n\n"
return output.strip()
def check_server_health() -> str:
"""Check server health status and API connectivity"""
status_parts = []
# Check API key configuration
api_key = get_api_key()
if not api_key:
status_parts.append("โ API Key: Not configured")
status_parts.append("\nโ ๏ธ Please configure your Finnhub API key in the Configuration tab or set FINNHUB_API_KEY environment variable.")
return "\n".join(status_parts)
else:
status_parts.append("โ
API Key: Configured")
# Test Finnhub API connectivity
status_parts.append("\n๐ Testing Finnhub API connectivity...")
try:
test_result = make_finnhub_request("quote", {"symbol": "AAPL"})
if "error" in test_result:
status_parts.append(f"โ Finnhub API: {test_result['error']}")
status_parts.append("\nโ ๏ธ Possible issues:")
status_parts.append(" โข Invalid API key")
status_parts.append(" โข Network connectivity problem")
status_parts.append(" โข Finnhub API service is down")
status_parts.append(" โข Rate limit exceeded")
else:
status_parts.append(f"โ
Finnhub API: Online and reachable")
status_parts.append(f" Test query result: AAPL @ ${test_result.get('c', 'N/A')}")
except Exception as e:
status_parts.append(f"โ Finnhub API: Connection failed")
status_parts.append(f" Error: {str(e)}")
return "\n".join(status_parts)
# Load HTML content from file
def load_html_content():
"""Load the HTML welcome page"""
try:
# ไผๅ
ไฝฟ็จ็ฒพ็ฎ็
if os.path.exists('index_simple.html'):
with open('index_simple.html', 'r', encoding='utf-8') as f:
return f.read()
# ๅๅค๏ผGradio ไผๅ็
elif os.path.exists('index_gradio.html'):
with open('index_gradio.html', 'r', encoding='utf-8') as f:
return f.read()
# ๅๅค๏ผๅฎๆด็
elif os.path.exists('index.html'):
with open('index.html', 'r', encoding='utf-8') as f:
return f.read()
else:
return "<h1>๐ Finnhub MCP Server</h1><p>ๆฌข่ฟไฝฟ็จ</p>"
except Exception as e:
print(f"Error loading HTML: {e}")
return "<h1>๐ Finnhub MCP Server</h1><p>ๆฌข่ฟไฝฟ็จ</p>"
# Create Gradio Interface
with gr.Blocks(title="Finnhub Market Info MCP Server") as demo:
# Welcome tab with HTML content
with gr.Tab("๐ Home"):
gr.HTML(load_html_content())
# Health Check tab
with gr.Tab("๐ฉบ Health Check"):
gr.Markdown("### Server Health Status")
gr.Markdown("Check if the MCP server and Finnhub API are working properly.")
health_check_btn = gr.Button("Check Health", variant="primary", size="lg")
health_status_output = gr.Textbox(
label="Health Status",
lines=15,
interactive=False,
placeholder="Click 'Check Health' to test the server and API connectivity..."
)
health_check_btn.click(
fn=check_server_health,
inputs=[],
outputs=[health_status_output]
)
gr.Markdown("""
### What this checks:
1. **API Key Configuration** - Verifies if Finnhub API key is set
2. **Finnhub API Connectivity** - Tests connection to Finnhub servers
3. **API Response** - Validates that the API returns data correctly
### Troubleshooting:
If health check fails:
- โ **API Key Not Configured**: Go to API Key Config tab and enter your key
- โ **Invalid API Key**: Check if your key is correct at [finnhub.io](https://finnhub.io/dashboard)
- โ **Network Error**: Check your internet connection
- โ **Rate Limit**: Wait a minute before trying again (free tier: 60 calls/min)
""")
with gr.Tab("๐ Quote Tool"):
gr.Markdown("### Test Real-time Stock Quote")
gr.Markdown("Get real-time quote data for US stocks. Example symbols: AAPL, MSFT, TSLA, GOOGL")
with gr.Row():
quote_symbol = gr.Textbox(
label="Stock Symbol",
placeholder="AAPL",
value="AAPL"
)
quote_btn = gr.Button("Get Quote", variant="primary")
quote_output = gr.Textbox(label="Quote Data", lines=12, interactive=False)
quote_btn.click(
fn=test_quote_tool,
inputs=[quote_symbol],
outputs=[quote_output]
)
with gr.Tab("๐ฐ Market News Tool"):
gr.Markdown("### Test Market News")
gr.Markdown("Get latest market news by category")
with gr.Row():
news_category = gr.Dropdown(
choices=["general", "forex", "crypto", "merger"],
label="News Category",
value="general"
)
market_news_btn = gr.Button("Get Market News", variant="primary")
market_news_output = gr.Textbox(label="Market News", lines=15, interactive=False)
market_news_btn.click(
fn=test_market_news_tool,
inputs=[news_category],
outputs=[market_news_output]
)
with gr.Tab("๐ข Company News Tool"):
gr.Markdown("### Test Company News")
gr.Markdown("Get latest company news by symbol. Only available for North American companies.")
with gr.Row():
company_symbol = gr.Textbox(
label="Stock Symbol",
placeholder="AAPL",
value="AAPL"
)
with gr.Row():
company_from_date = gr.Textbox(
label="From Date (YYYY-MM-DD)",
placeholder="Leave empty for 7 days ago",
value=""
)
company_to_date = gr.Textbox(
label="To Date (YYYY-MM-DD)",
placeholder="Leave empty for today",
value=""
)
company_news_btn = gr.Button("Get Company News", variant="primary")
company_news_output = gr.Textbox(label="Company News", lines=15, interactive=False)
company_news_btn.click(
fn=test_company_news_tool,
inputs=[company_symbol, company_from_date, company_to_date],
outputs=[company_news_output]
)
with gr.Tab("โน๏ธ MCP Connection"):
gr.Markdown("""
### Connect via MCP Client
This server implements the **standard MCP protocol (JSON-RPC over SSE)**.
#### ๐ฅ Step 1: Clone Repository
```bash
git clone https://huggingface.co/spaces/JC321/MarketandStockMCP
cd MarketandStockMCP
pip install -r requirements.txt
```
#### ๐ Step 2: Get API Key
Get your free Finnhub API key at [finnhub.io/register](https://finnhub.io/register)
#### โ๏ธ Step 3: Configure MCP Client
**For Claude Desktop:**
Edit config file:
- macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
- Windows: `%APPDATA%\Claude\claude_desktop_config.json`
Add this configuration:
```json
{
"mcpServers": {
"finnhub": {
"command": "python",
"args": ["C:\\path\\to\\MarketandStockMCP\\mcp_server.py"],
"env": {
"FINNHUB_API_KEY": "your_finnhub_api_key_here"
}
}
}
}
```
**For Cursor IDE:**
Use the same JSON configuration in MCP settings.
#### ๐ Step 4: Test
Restart your MCP client and try:
- "What's the current price of Apple stock?"
- "Show me the latest market news"
- "Get Tesla company news from last week"
#### ๐ ๏ธ Available Tools:
- `get_quote(symbol: str)` - Real-time stock quote
- `get_market_news(category: str, min_id: int)` - Market news by category
- `get_company_news(symbol: str, from_date: str, to_date: str)` - Company-specific news
#### ๐ Documentation:
See [README.md](https://huggingface.co/spaces/JC321/MarketandStockMCP/blob/main/README.md) for detailed instructions.
""")
# API Key Config tab (moved to last)
with gr.Tab("๐ API Key Config"):
gr.Markdown("### Configure Finnhub API Key for Web Testing")
gr.Markdown("""
๐ก **Note:** This is only for testing tools in the web UI above.
For MCP client use, configure the API key in your MCP client settings (see "MCP Connection" tab).
""")
with gr.Row():
api_key_input = gr.Textbox(
label="Finnhub API Key",
placeholder="Enter your Finnhub API key here...",
type="password"
)
config_btn = gr.Button("Configure", variant="primary")
config_output = gr.Textbox(label="Status", interactive=False)
config_btn.click(
fn=configure_api_key,
inputs=[api_key_input],
outputs=[config_output]
)
if __name__ == "__main__":
import sys
# Check for API key in environment variable
env_api_key = os.getenv("FINNHUB_API_KEY")
if env_api_key:
set_api_key(env_api_key)
print("โ
API Key loaded from environment variable")
# Set port from environment (HF Space sets PORT=7860)
port = int(os.getenv("PORT", "7860"))
host = os.getenv("HOST", "0.0.0.0")
# Check if running as MCP server or Gradio UI
if "--mcp" in sys.argv or os.getenv("RUN_MCP_SERVER") == "true":
# Run as MCP server (standalone mode)
print("โถ๏ธ Starting MCP Server (standalone mode)...")
mcp.run(transport="sse")
else:
# Launch Gradio interface
print("โถ๏ธ Starting Gradio Interface...")
print("๐ Gradio UI available at: /")
print("๐ก MCP tools available through Gradio tabs")
demo.launch(
server_name=host,
server_port=port,
share=False
)
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