IBM Storage Insights MCP Server

$pip install ibm-storageinsights-mcpserver
README.md

Seamless observability and diagnosis of registered storage assets.

IBM Storage Insights MCP Server

DISCLAIMER: This is a community-maintained project and is not officially affiliated with, endorsed by, or supported by IBM. This MCP server utilizes the IBM Storage Insights External APIs.

This open-sourced Model Context Protocol (MCP) server will help IBM Storage Insights to integrate in the Agentic-AI ecosystem. It will help users to bring their AI-Agents for seamless observability and diagnosis of their Storage Assets registered with IBM Storage Insights .

🚀 Features

  • Observability Tools: Leverage key IBM Storage Insights monitoring capabilities via an MCP interface.
  • Extensible Design: Easily integrate additional Storage Insights APIs for future expansions.
  • Pythonic: Allowing ease of use and extension for AI developers

🛠️ Tools

Listed below are the tools which are presently exposed thought the MCP server:

1. `fetch_tenant_alerts`

  • Description: Retrieve a list of alerts for a tenant.
  • Inputs:
    • tenant_id_input (optional string): Storage Insights Tenant id.
  • Returns: List of alerts present for the tenant.

2. `fetch_tenant_notifications`

  • Description: Retrieve a list of notifications for a tenant.
  • Inputs:
    • tenant_id_input (optional string): Storage Insights Tenant id.
  • Returns: List of notifications present for the tenant.

3. `fetch_storage_systems`

  • Description: Get all storage systems added to the tenant for monitoring tenant.
  • Inputs:
    • tenant_id_input (optional string): Storage Insights Tenant id.
  • Returns: List of storage systems present on the tenant.

4. `fetch_system_notifications`

  • Description: Get notifications of system under the tenant.
  • Inputs:
    • system_id (string): Unique system id for the system.
    • tenant_id_input (optional string): Storage Insights Tenant id.
  • Returns: List of notifications for a system represented by unique system id.

5. `fetch_system_details`

  • Description: Get details for given system present on the tenant.
  • Inputs:
    • system_id (string): Unique system id for the system.
    • tenant_id_input (optional string): Storage Insights Tenant id.
  • Returns: Details of a system represented by unique system id.

6. `fetch_system_io_rate`

  • Description: Get io rate for a system present on the tenant.
  • Inputs:
    • system_id (string): Unique system id for the system.
    • tenant_id_input (optional string): Storage Insights Tenant id.
    • metric_types (optional list of strings): performance metric types
    • duration (optional string): duration for the data fetch (e.g. 20m, 1h, 1d)
  • Returns: Requested IO Rate for the given system represented by unique system id.
  • Supported IO rate metrics
    • volume_overall_read_io_rate
    • volume_overall_write_io_rate
    • volume_overall_total_io_rate

7. `fetch_system_data_rate`

  • Description: Get data rate for a system present on the tenant.
  • Inputs:
    • system_id (string): Unique system id for the system.
    • tenant_id_input (optional string): Storage Insights Tenant id.
    • metric_types (optional list of strings): performance metric types
    • duration (optional string): duration for the data fetch (e.g. 20m, 1h, 1d)
  • Returns: Requested Data Rate for the given system represented by unique system id.
  • Supported IO rate metrics
    • volume_read_data_rate
    • volume_write_data_rate
    • volume_total_data_rate

8. `fetch_system_response_time`

  • Description: Get response time for a system present on the tenant.
  • Inputs:
    • system_id (string): Unique system id for the system.
    • tenant_id_input (optional string): Storage Insights Tenant id.
    • metric_types (optional list of strings): performance metric types
    • duration (optional string): duration for the data fetch (e.g. 20m, 1h, 1d)
  • Returns: Requested Response time for the given system represented by unique system id.
  • Supported IO rate metrics
    • volume_read_response_time
    • volume_write_response_time
    • volume_total_response_time

9. `fetch_system_transfer_size`

  • Description: Get transfer size for a system present on the tenant.
  • Inputs:
    • system_id (string): Unique system id for the system.
    • tenant_id_input (optional string): Storage Insights Tenant id.
    • metric_types (optional list of strings): performance metric types

Tools (9)

fetch_tenant_alertsRetrieve a list of alerts for a tenant.
fetch_tenant_notificationsRetrieve a list of notifications for a tenant.
fetch_storage_systemsGet all storage systems added to the tenant for monitoring tenant.
fetch_system_notificationsGet notifications of system under the tenant.
fetch_system_detailsGet details for given system present on the tenant.
fetch_system_io_rateGet io rate for a system present on the tenant.
fetch_system_data_rateGet data rate for a system present on the tenant.
fetch_system_response_timeGet response time for a system present on the tenant.
fetch_system_transfer_sizeGet transfer size for a system present on the tenant.

Environment Variables

IBM_SI_API_KEYrequiredAPI key for IBM Storage Insights External APIs
IBM_SI_TENANT_IDrequiredDefault Tenant ID for Storage Insights

Configuration

claude_desktop_config.json
{"mcpServers":{"ibm-storage-insights":{"command":"python","args":["-m","ibm_storageinsights_mcpserver"],"env":{"IBM_SI_API_KEY":"your_api_key","IBM_SI_TENANT_ID":"your_tenant_id"}}}}

Try it

List all storage systems currently monitored in my IBM Storage Insights tenant.
Show me the latest alerts and notifications for my storage environment.
What is the volume_overall_total_io_rate for system ID '12345' over the last hour?
Get the response time metrics for my storage system to diagnose performance lag.
Fetch the details and current status for storage system 'sys-789'.

Frequently Asked Questions

What are the key features of IBM Storage Insights?

Observability Tools: Leverage key monitoring capabilities via an MCP interface.. Extensible Design: Easily integrate additional Storage Insights APIs.. Pythonic Implementation: Built for ease of use and extension by AI developers.. Performance Tracking: Retrieve IO rates, data rates, and response times for storage systems..

What can I use IBM Storage Insights for?

Automated storage health monitoring and alert reporting via AI agents.. Real-time performance diagnosis of storage assets using natural language queries.. Inventory management of storage systems registered with IBM Storage Insights.. Integration of storage telemetry into broader Agentic-AI observability workflows..

How do I install IBM Storage Insights?

Install IBM Storage Insights by running: pip install ibm-storageinsights-mcpserver

What MCP clients work with IBM Storage Insights?

IBM Storage Insights works with any MCP-compatible client including Claude Desktop, Claude Code, Cursor, and other editors with MCP support.

Use IBM Storage Insights with Conare

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