Respona Dashboard MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Respona Dashboard MCP ServerShow me the priority distribution of tickets."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Respona Dashboard MCP Server
An MCP (Model Context Protocol) server that provides tools to interact with the Respona Dashboard backend API. This server allows users to query ticket data, analytics, and AI flags through natural language interactions.
Features
This MCP server implements 13 tools corresponding to the Respona Dashboard API endpoints:
Ticket Management Tools
get_tickets - Retrieve tickets with filtering and pagination
get_ticket_stats - Get ticket statistics and metrics
get_ticket_by_id - Retrieve a specific ticket by ID
get_ticket_ai_analysis - Get AI analysis for a specific ticket
Analytics Tools
get_ai_flags_distribution - Get AI flags distribution for analytics
get_similar_incidents - Get count of similar incidents
get_source_channels_distribution - Get distribution of ticket source channels
get_priority_distribution - Get distribution of ticket priorities
get_status_distribution - Get distribution of ticket statuses
get_dashboard_analytics - Get comprehensive analytics for dashboard
AI Flags Tools
get_analysis_flags - Get all flags for a specific AI analysis
get_analysis_flag_stats - Get flag statistics for an AI analysis
get_all_flags - Get all flags with pagination (admin view)
Installation
Clone the repository:
git clone <repository-url> cd respona_mcp_serverInstall dependencies:
pip install -e .Or using uv (recommended):
uv pip install -e .Set up configuration:
cp .env.example .env # Edit .env with your configuration
Configuration
The server can be configured through environment variables or a .env file:
API Configuration
RESPONA_API_BASE_URL: Base URL for the Respona Dashboard API (default:http://10.250.201.107:3001)RESPONA_API_KEY: API key for authentication (optional)
Request Configuration
RESPONA_REQUEST_TIMEOUT: Request timeout in seconds (default: 30)RESPONA_MAX_RETRIES: Maximum number of request retries (default: 3)
Pagination Configuration
RESPONA_DEFAULT_PAGE_SIZE: Default number of items per page (default: 20)RESPONA_MAX_PAGE_SIZE: Maximum allowed page size (default: 100)
Usage
Running the Server
# Run directly
python -m respona_mcp_server
# Or using the installed script
respona-mcp-serverMCP Client Configuration
Add this server to your MCP client configuration. For example, in Claude Desktop, add to your claude_desktop_config.json:
{
"mcpServers": {
"respona-dashboard": {
"command": "python",
"args": ["-m", "respona_mcp_server"],
"env": {
"RESPONA_API_BASE_URL": "http://10.250.201.107:3001"
}
}
}
}Or if you have the package installed globally:
{
"mcpServers": {
"respona-dashboard": {
"command": "respona-mcp-server",
"env": {
"RESPONA_API_BASE_URL": "http://10.250.201.107:3001"
}
}
}
}Tool Usage Examples
Get All Tickets
Get me all tickets with high priority from the last weekGet Ticket Statistics
Show me the current ticket statisticsGet Specific Ticket
Show me details for ticket ID 12345Get Analytics
What's the distribution of ticket priorities?Filter Tickets
Show me all tickets assigned to John Doe with status "open"Get AI Analysis
Get the AI analysis for ticket 67890API Endpoints Mapping
Tool Name | API Endpoint | Description |
get_tickets | GET /api/tickets | Retrieve tickets with filtering |
get_ticket_stats | GET /api/tickets/stats | Get ticket statistics |
get_ticket_by_id | GET /api/tickets/{id} | Get specific ticket |
get_ticket_ai_analysis | GET /api/tickets/{id}/ai-analysis | Get AI analysis |
get_ai_flags_distribution | GET /api/analytics/ai-flags | Get AI flags distribution |
get_similar_incidents | GET /api/analytics/similar-incidents | Get similar incidents count |
get_source_channels_distribution | GET /api/analytics/source-channels | Get source channels distribution |
get_priority_distribution | GET /api/analytics/priority-distribution | Get priority distribution |
get_status_distribution | GET /api/analytics/status-distribution | Get status distribution |
get_dashboard_analytics | GET /api/analytics/dashboard | Get all analytics |
get_analysis_flags | GET /api/ai-flags/analysis/{analysisId}/flags | Get analysis flags |
get_analysis_flag_stats | GET /api/ai-flags/analysis/{analysisId}/flags/stats | Get flag statistics |
get_all_flags | GET /api/ai-flags/flags | Get all flags (admin) |
Error Handling
The server includes comprehensive error handling:
Network Errors: Automatic retries with exponential backoff
API Errors: Proper HTTP status code handling
Parameter Validation: Input validation with helpful error messages
Connection Issues: Graceful handling of API server downtime
Development
Running Tests
pytestCode Formatting
ruff format .
ruff check .Type Checking
mypy respona_mcp_server/Troubleshooting
Common Issues
Connection Refused
Check if the Respona API server is running
Verify the
RESPONA_API_BASE_URLconfigurationCheck network connectivity
Authentication Errors
Verify API key configuration if required
Check if the API key has proper permissions
Timeout Errors
Increase
RESPONA_REQUEST_TIMEOUTCheck network latency to the API server
Logging
The server uses Python's standard logging. Set the log level:
export PYTHONPATH=.
python -m respona_mcp_server --log-level DEBUGContributing
Fork the repository
Create a feature branch
Make your changes
Add tests
Run the test suite
Submit a pull request
License
MIT License - see LICENSE file for details.
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