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Installation
Difficulty
IntermediateEstimated Time
10-20 minutes
Requirements
Python 3.7以上pipの最新バージョンInstallation
Installation
Prerequisites
Please specify required software and versions:Python: 3.7 or higher
pip: Latest version
Installation Steps
1. Clone Repository
bash
git clone https://github.com/volcengine/mcp-server.git
cd mcp-server
2. Install Dependencies
bash
pip install -r requirements.txt
3. Start Server
bash
python main.py
Troubleshooting
Common Issues
Issue: Server won't start Solution: Check Python version and reinstall dependencies. Issue: Unable to access the API Solution: Ensure the server is running correctly and check network settings.Configuration
Configuration
Basic Configuration
MCP Server Setup
Editconfig.json to configure the MCP server:
json
{
"server": {
"host": "localhost",
"port": 3000,
"api_key": "your-api-key"
}
}
Environment Variables
Set the following environment variables as needed:bash
export 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
Here are basic usage examples for the MCP server:API Call
python
import requests
response = requests.get('http://localhost:3000/api/tools')
print(response.json())
Executing a Tool
python
import requests
def call_tool(tool_name, params):
response = requests.post(
'http://localhost:3000/mcp/call',
json={
'tool': tool_name,
'parameters': params
}
)
return response.json()
result = call_tool('analyze', {'input': 'sample data'})
print(result)
Use Cases
Developing data analysis applications using AI models
Building automated data processing pipelines
Rapid deployment of applications utilizing cloud services
Creating custom AI solutions for enterprises