Respona Dashboard MCP Server

Respona Dashboard MCP Server

An MCP server that provides tools to interact with the Respona Dashboard backend API. It allows users to query ticket data, analytics, and AI flags through natural language interactions.

Category
Visit Server

README

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

  1. Clone the repository:

    git clone <repository-url>
    cd respona_mcp_server
    
  2. Install dependencies:

    pip install -e .
    

    Or using uv (recommended):

    uv pip install -e .
    
  3. 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-server

MCP 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 week

Get Ticket Statistics

Show me the current ticket statistics

Get Specific Ticket

Show me details for ticket ID 12345

Get 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 67890

API 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

pytest

Code Formatting

ruff format .
ruff check .

Type Checking

mypy respona_mcp_server/

Troubleshooting

Common Issues

  1. Connection Refused

    • Check if the Respona API server is running
    • Verify the RESPONA_API_BASE_URL configuration
    • Check network connectivity
  2. Authentication Errors

    • Verify API key configuration if required
    • Check if the API key has proper permissions
  3. Timeout Errors

    • Increase RESPONA_REQUEST_TIMEOUT
    • Check 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 DEBUG

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests
  5. Run the test suite
  6. Submit a pull request

License

MIT License - see LICENSE file for details.

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured