mcp-server
An MCP server for interacting with the Financial Datasets stock market API.
GitHub Stars
497
User Rating
Not Rated
Favorites
0
Views
25
Forks
83
Issues
9
Installation
Difficulty
IntermediateEstimated Time
10-20 minutes
Requirements
Python 3.10以上uvパッケージマネージャーInstallation
Installation
Prerequisites
Python: 3.10 or higher
uv: Package manager
Installation Steps
1. Clone Repository
bash
git clone https://github.com/financial-datasets/mcp-server
cd mcp-server
2. Install uv
bash
macOS/Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows
curl -LsSf https://astral.sh/uv/install.ps1 | powershell
3. Install Dependencies
bash
uv venv
source .venv/bin/activate # On Windows: .venv\Scripts\activate
uv add "mcp[cli]" httpx # On Windows: uv add mcp[cli] httpx
4. Set Environment Variables
bash
cp .env.example .env
FINANCIAL_DATASETS_API_KEY=your-financial-datasets-api-key
5. Run the Server
bash
uv run server.py
Configuration
Configuration
Claude Desktop Setup
Edit~/Library/Application Support/Claude/claude_desktop_config.json:
json
{
"mcpServers": {
"financial-datasets": {
"command": "/path/to/uv",
"args": [
"--directory",
"/absolute/path/to/financial-datasets-mcp",
"run",
"server.py"
]
}
}
}
Environment Variables
Set the following environment variables as needed:bash
export FINANCIAL_DATASETS_API_KEY="your-api-key"
Security Settings
Store API keys in environment variables or secure configuration files
Set appropriate file access permissions
Examples
Examples
Basic Usage
Using with Claude Desktop
1Verify MCP Server Startup
Open Claude Desktop and confirm that the configuration has been loaded correctly.
2Execute Basic Commands
Available tools from this MCP server:
- tool1: Description of tool1
- tool2: Description of tool2
Programmatic Usage
python
import requests
def call_mcp_tool(tool_name, params):
response = requests.post(
'http://localhost:3000/mcp/call',
json={
'tool': tool_name,
'parameters': params
}
)
return response.json()
Usage example
result = call_mcp_tool('get_current_stock_price', {'ticker': 'AAPL'})
print(result)
Use Cases
Retrieve income statements for a specific company using an AI assistant for analysis.
Fetch real-time stock prices to make investment decisions.
Get the latest news about a company to understand market trends.
Analyze historical stock price data to identify price trends.
Additional Resources
Author Information
25
Followers
1
Repositories
0
Gists
0
Total Contributions
Related MCPs
LangBot
13398
🤩 Easy-to-use global IM bot platform designed for the LLM era / 简单易用的大模型即时通信机器人开发平台 ⚡️ Bots for QQ / QQ频道 / Discord / WeChat（微信）/ Telegram / 飞书 / 钉钉 / Slack 🧩 Integrated with ChatGPT（GPT)、DeepSeek、Dify、n8n、Claude、Google Gemini、xAI、PPIO、Ollama、阿里云百炼、SiliconFlow、Qwen、Moonshot(Kimi K2)、SillyTraven、MCP、WeClone etc. LLM & Agent & RAG