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Installation
Difficulty
IntermediateEstimated Time
10-20 minutes
Requirements
Python 3.6以上uvicorn 最新版+1 more
Installation
Installation
Prerequisites
Please specify required software and versions:Python: 3.6 or higher
uvicorn: Latest version
Claude Desktop: Latest version
Installation Steps
1. Clone Repository
bash
git clone https://github.com/lethain/library-mcp.git
cd library-mcp
2. Install Dependencies
bash
pip install uvicorn
3. Configure Claude Desktop
Editclaude_desktop_config.json to add the MCP server:
json
{
"mcpServers": {
"library-mcp": {
"command": "uvicorn",
"args": ["main:app", "--host", "127.0.0.1", "--port", "8000"]
}
}
}
4. Start Server
bash
uvicorn main:app --host 127.0.0.1 --port 8000
Troubleshooting
Common Issues
Issue: Server won't start Solution: Check Python version and reinstall dependencies. Issue: Not recognized by Claude Desktop Solution: Verify configuration file path and syntax.Configuration
Configuration
Basic Configuration
Claude Desktop Setup
Edit~/.config/claude-desktop/claude_desktop_config.json (macOS/Linux) or
%APPDATA%\Claude\claude_desktop_config.json (Windows):
json
{
"mcpServers": {
"library-mcp": {
"command": "uvicorn",
"args": ["main:app", "--host", "127.0.0.1", "--port", "8000"]
}
}
}
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 Examples
Basic Configuration
json
{
"mcpServers": {
"library-mcp": {
"command": "uvicorn",
"args": ["main:app", "--host", "127.0.0.1", "--port", "8000"]
}
}
}
Examples
Examples
Basic Usage
Here are basic usage examples for the MCP server: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:
- get_by_tag: Retrieves content by tag
- get_by_text: Searches content for specific text
Programmatic Usage
python
Python example
import requests
def call_mcp_tool(tool_name, params):
response = requests.post(
'http://localhost:8000/mcp/call',
json={
'tool': tool_name,
'parameters': params
}
)
return response.json()
Usage example
result = call_mcp_tool('get_by_tag', {
'tag': 'python'
})
print(result)
Use Cases
Retrieve the latest 50 posts related to a specific tag and summarize their content.
Fetch blog posts written in the last year by date range and analyze their content.
Search for Markdown files containing specific text and retrieve related information.
Simultaneously operate across multiple Markdown knowledge bases and integrate information.
Additional Resources
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