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832
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Installation
Difficulty
IntermediateEstimated Time
10-20 minutes
Requirements
Python 3.7以上pip 最新版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/awslabs/mcp.git
cd mcp
2. Install Dependencies
bash
pip install -r requirements.txt
3. Start Server
bash
python server.py
Troubleshooting
Common Issues
Issue: Server won't start Solution: Check Python version and reinstall dependencies. Issue: API not responding Solution: Check server logs and verify configuration file paths.Configuration
Configuration
Basic Configuration
Server Setup
Editconfig.json to add the MCP server:
json
{
"mcpServers": {
"example-server": {
"command": "python",
"args": ["server.py"],
"env": {
"API_KEY": "your-api-key"
}
}
}
}
Environment Variables
Set the following environment variables as needed:bash
export API_KEY="your-api-key"
export DEBUG="true"
Advanced Configuration
Security Settings
Store API keys in environment variables or secure configuration files
Set appropriate file access permissions
Adjust logging levels
Performance Tuning
Configure timeout values
Limit concurrent executions
Set up caching
Configuration Example
Basic Configuration
json
{
"mcpServers": {
"basic-server": {
"command": "python",
"args": ["server.py"],
"env": {
"PORT": "3000",
"LOG_LEVEL": "info"
}
}
}
}
Examples
Examples
Basic Usage
Here are basic usage examples for the MCP server: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('analyze', {
'input': 'sample data',
'options': {'format': 'json'}
})
Use Cases
Developing applications that require real-time access to AWS resources.
Building systems that automate database management and operations.
Developing microservices that integrate with external services via APIs.
Automating data analysis and processing using AI models.
Executing batch processes that involve file system operations.
Additional Resources
Author Information
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