Rootly Mcp Server

Cos'è Rootly MCP Server?

Rootly MCP Server è una piattaforma innovativa progettata per semplificare e migliorare la gestione delle risorse e dei servizi cloud. Fornisce un hub centralizzato per sviluppatori e team IT per monitorare, controllare e ottimizzare la propria infrastruttura cloud in modo efficiente. Con la sua interfaccia user-friendly e funzionalità robuste, Rootly MCP Server semplifica operazioni cloud complesse, rendendole accessibili a team di tutte le dimensioni.

Caratteristiche di Rootly MCP Server

• Gestione Centralizzata: Gestisci tutte le tue risorse cloud da un'unica dashboard, consentendo una supervisione e un controllo più facili.
• Monitoraggio in Tempo Reale: Ricevi aggiornamenti istantanei sulle prestazioni e sulla salute dei tuoi servizi cloud, consentendo una gestione proattiva.
• Avvisi Automatici: Imposta notifiche per eventi critici, assicurando che il tuo team sia sempre informato su cambiamenti o problemi importanti.
• Scalabilità: Scala facilmente le tue risorse cloud su o giù in base alle esigenze del tuo progetto, ottimizzando costi e prestazioni.
• Interfaccia User-Friendly: Progettata tenendo presente l'usabilità, la piattaforma consente agli utenti di navigare e gestire le risorse senza sforzo.
• Capacità di Integrazione: Integra senza problemi con vari strumenti e servizi di terze parti per migliorare la funzionalità e semplificare i flussi di lavoro.

Come Utilizzare Rootly MCP Server

1. Registrati: Crea un account sulla piattaforma Rootly MCP Server.
2. Collega i Tuoi Servizi Cloud: Collega i tuoi account cloud esistenti a Rootly MCP Server per una gestione centralizzata.
3. Configura le Impostazioni: Personalizza la tua dashboard e imposta avvisi in base alle esigenze del tuo team.
4. Monitora le Prestazioni: Usa gli strumenti di monitoraggio in tempo reale per tenere traccia delle tue risorse cloud e dei metriche di prestazione.
5. Ottimizza le Risorse: Analizza i modelli di utilizzo e regola le tue risorse per garantire prestazioni ottimali e costi efficaci.

Domande Frequenti

D: Quali tipi di servizi cloud posso gestire con Rootly MCP Server?

R: Rootly MCP Server supporta un'ampia gamma di servizi cloud, tra cui AWS, Azure e Google Cloud, consentendoti di gestire varie risorse da diversi fornitori in un unico posto.

D: È disponibile una prova gratuita?

R: Sì, Rootly MCP Server offre una prova gratuita per i nuovi utenti per esplorare le sue funzionalità e capacità prima di impegnarsi in un abbonamento.

D: Posso integrare Rootly MCP Server con altri strumenti?

R: Assolutamente! Rootly MCP Server supporta l'integrazione con numerose applicazioni di terze parti, migliorando la sua funzionalità e consentendo un flusso di lavoro più semplificato.

D: Come garantisce Rootly MCP Server la sicurezza dei dati?

R: Rootly MCP Server adotta misure di sicurezza standard del settore, tra cui crittografia e protocolli di accesso sicuro, per proteggere i tuoi dati e garantire la conformità alle normative.

D: Quali opzioni di supporto sono disponibili?

R: Rootly MCP Server fornisce varie opzioni di supporto, tra cui documentazione, forum della comunità e supporto clienti diretto per qualsiasi domanda o problema.

Rootly MCP Server

An MCP server for the Rootly API that integrates seamlessly with MCP-compatible editors like Cursor, Windsurf, and Claude. Resolve production incidents in under a minute without leaving your IDE.

Prerequisites

• Python 3.12 or higher
• uv package manager

  curl -LsSf https://astral.sh/uv/install.sh | sh
  

• Rootly API token

Installation

Configure your MCP-compatible editor (tested with Cursor) with one of the configurations below. The package will be automatically downloaded and installed when you first open your editor.

With uv

{
  "mcpServers": {
    "rootly": {
      "command": "uv",
      "args": [
        "tool",
        "run",
        "--from",
        "rootly-mcp-server",
        "rootly-mcp-server",
      ],      
      "env": {
        "ROOTLY_API_TOKEN": "<YOUR_ROOTLY_API_TOKEN>"
      }
    }
  }
}

With uvx

{
  "mcpServers": {
    "rootly": {
      "command": "uvx",
      "args": [
        "--from",
        "rootly-mcp-server",
        "rootly-mcp-server",
      ],      
      "env": {
        "ROOTLY_API_TOKEN": "<YOUR_ROOTLY_API_TOKEN>"
      }
    }
  }
}

To customize allowed_paths and access additional Rootly API paths, clone the repository and use this configuration:

{
  "mcpServers": {
    "rootly": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/path/to/rootly-mcp-server",
        "rootly-mcp-server"
      ],
      "env": {
        "ROOTLY_API_TOKEN": "<YOUR_ROOTLY_API_TOKEN>"
      }
    }
  }
}

Connect to Hosted MCP Server

Alternatively, connect directly to our hosted MCP server:

{
  "mcpServers": {
    "rootly": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.rootly.com/sse",
        "--header",
        "Authorization:${ROOTLY_AUTH_HEADER}"
      ],
      "env": {
        "ROOTLY_AUTH_HEADER": "Bearer <YOUR_ROOTLY_API_TOKEN>"
      }
    }
  }
}

Features

• Dynamic Tool Generation: Automatically creates MCP resources from Rootly's OpenAPI (Swagger) specification
• Smart Pagination: Defaults to 10 items per request for incident endpoints to prevent context window overflow
• API Filtering: Limits exposed API endpoints for security and performance
• AI-Powered Incident Analysis: Smart tools that learn from historical incident data
  • find_related_incidents: Uses TF-IDF similarity analysis to find historically similar incidents
  • suggest_solutions: Mines past incident resolutions to recommend actionable solutions
• MCP Resources: Exposes incident and team data as structured resources for easy AI reference
• Intelligent Pattern Recognition: Automatically identifies services, error types, and resolution patterns

Whitelisted Endpoints

By default, the following Rootly API endpoints are exposed to the AI agent (see allowed_paths in src/rootly_mcp_server/server.py):

/v1/incidents
/v1/incidents/{incident_id}/alerts
/v1/alerts
/v1/alerts/{alert_id}
/v1/severities
/v1/severities/{severity_id}
/v1/teams
/v1/teams/{team_id}
/v1/services
/v1/services/{service_id}
/v1/functionalities
/v1/functionalities/{functionality_id}
/v1/incident_types
/v1/incident_types/{incident_type_id}
/v1/incident_action_items
/v1/incident_action_items/{incident_action_item_id}
/v1/incidents/{incident_id}/action_items
/v1/workflows
/v1/workflows/{workflow_id}
/v1/workflow_runs
/v1/workflow_runs/{workflow_run_id}
/v1/environments
/v1/environments/{environment_id}
/v1/users
/v1/users/{user_id}
/v1/users/me
/v1/status_pages
/v1/status_pages/{status_page_id}

Why Path Limiting?

We limit exposed API paths for two key reasons:

1. Context Management: Rootly's comprehensive API can overwhelm AI agents, affecting their ability to perform simple tasks effectively
2. Security: Controls which information and actions are accessible through the MCP server

To expose additional paths, modify the allowed_paths variable in src/rootly_mcp_server/server.py.

AI-Powered Smart Tools

The MCP server includes intelligent tools that analyze historical incident data to provide actionable insights:

find_related_incidents

Finds historically similar incidents using machine learning text analysis:

find_related_incidents(incident_id="12345", similarity_threshold=0.3, max_results=5)

• Input: Incident ID, similarity threshold (0.0-1.0), max results
• Output: Similar incidents with confidence scores, matched services, and resolution times
• Use Case: Get context from past incidents to understand patterns and solutions

suggest_solutions

Recommends solutions by analyzing how similar incidents were resolved:

suggest_solutions(incident_id="12345", max_solutions=3)
### OR for new incidents:
suggest_solutions(incident_title="Payment API errors", incident_description="Users getting 500 errors during checkout")

• Input: Either incident ID OR title/description text
• Output: Actionable solution recommendations with confidence scores and time estimates
• Use Case: Get AI-powered suggestions based on successful past resolutions

How It Works

• Text Similarity: Uses TF-IDF vectorization and cosine similarity (scikit-learn)
• Service Detection: Automatically identifies affected services from incident text
• Pattern Recognition: Finds common error types, resolution patterns, and time estimates
• Fallback Mode: Works without ML libraries using keyword-based similarity
• Solution Mining: Extracts actionable steps from resolution summaries

Data Requirements

For optimal results, ensure your Rootly incidents have descriptive:

• Titles: Clear, specific incident descriptions
• Summaries: Detailed resolution steps when closing incidents
• Service Tags: Proper service identification

Example good resolution summary: "Restarted auth-service, cleared Redis cache, and increased connection pool from 10 to 50"

About Rootly AI Labs

This project was developed by Rootly AI Labs, where we're building the future of system reliability and operational excellence. As an open-source incubator, we share ideas, experiment, and rapidly prototype solutions that benefit the entire community.

Developer Setup & Troubleshooting

Prerequisites

• Python 3.12 or higher
• uv for dependency management

1. Set Up Virtual Environment

Create and activate a virtual environment:

uv venv .venv
source .venv/bin/activate  # Always activate before running scripts

2. Install Dependencies

Install all project dependencies:

uv pip install .

To add new dependencies during development:

uv pip install <package>

3. Verify Installation

The server should now be ready to use with your MCP-compatible editor.

For developers: Additional testing tools are available in the tests/ directory.