Dell Isilon (PowerScale) MCP Server
Enables AI assistants to interact with Dell PowerScale (Isilon) OneFS clusters through over 2,400 tools generated from the REST API specification. It supports managing storage protocols, snapshots, networking, and cluster configurations using natural language.
README
Isilon MCP Server
A professional-grade Model Context Protocol (MCP) server for Dell PowerScale (Isilon) OneFS API integration. This server enables AI assistants like Claude to interact with PowerScale storage clusters through a comprehensive set of tools generated from the OneFS 9.7 REST API specification.
Features
- š Complete API Coverage: 2,434 operations across 46 categories
- š Secure Authentication: Basic Auth with TLS support
- š¦ Dynamic Tool Generation: Auto-generates MCP tools from OpenAPI spec
- š Multiple Transports: stdio (Claude Desktop) and HTTP/SSE (n8n)
- š Comprehensive Logging: Structured JSON and colored console output
- ā” Async/Await: Built on httpx for high-performance async operations
- š”ļø Credential-Free Mode: Explore available tools without credentials
Supported API Categories
| Category | Operations | Description |
|---|---|---|
| Auth | 373 | Authentication, users, groups, roles, providers |
| Protocols | 351 | SMB, NFS, HDFS, S3, HTTP, FTP, Swift |
| Sync | 185 | SyncIQ replication policies, reports, jobs |
| Cluster | 167 | Cluster management, nodes, configuration |
| Network | 153 | Networking, subnets, pools, interfaces |
| Datamover | 151 | Data migration, accounts, policies |
| Cloud | 136 | CloudPools, tiering, accounts |
| Snapshot | 117 | Snapshot schedules, aliases, locks |
| Upgrade | 85 | Cluster upgrade management |
| Event | 83 | Event channels, alerts, settings |
| Quota | 78 | SmartQuotas management |
| Job | 72 | Job engine, policies, reports |
| ... | ... | And 34 more categories! |
Quick Start
Prerequisites
- Python 3.10 or higher
- Access to a Dell PowerScale cluster with REST API enabled
- API credentials with appropriate permissions
Installation
From PyPI (Recommended)
# Install the package
pip install isilon-mcp-server
# Or install with HTTP server support for n8n
pip install "isilon-mcp-server[http]"
From Source
# Clone the repository
git clone https://github.com/sachdev27/isilon-mcp-server.git
cd isilon-mcp-server
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install the package
pip install -e .
# Or install with HTTP server support for n8n
pip install -e ".[http]"
Configuration
- Copy the example environment file:
cp .env.example .env
- Edit
.envwith your PowerScale credentials:
ISILON_HOST=your-powerscale-host
ISILON_USERNAME=admin
ISILON_PASSWORD=your-secure-password
ISILON_PORT=8080
ISILON_TLS_VERIFY=true
Running the Server
stdio Transport (for Claude Desktop)
# Using the CLI
isilon-mcp
# Or using Python module
python -m isilon_mcp.main
HTTP/SSE Transport (for n8n or web clients)
# Start HTTP server
python -m isilon_mcp.http_server
# With custom host/port
python -m isilon_mcp.http_server --host 0.0.0.0 --port 8000
Claude Desktop Integration
Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"isilon": {
"command": "/path/to/venv/bin/python",
"args": ["-m", "isilon_mcp.main"],
"cwd": "/path/to/isilon-mcp-server",
"env": {
"ISILON_HOST": "your-powerscale-host",
"ISILON_USERNAME": "admin",
"ISILON_PASSWORD": "your-password"
}
}
}
}
n8n Integration
- Start the HTTP server:
python -m isilon_mcp.http_server --host 0.0.0.0 --port 8000
- In n8n, add an MCP Client node pointing to:
http://localhost:8000/sse
Example Usage
Once connected, you can ask Claude to:
- "List all SMB shares on the cluster"
- "Show me the cluster health status"
- "Create a new NFS export for /ifs/data/project1"
- "Get all snapshots older than 30 days"
- "Show active SyncIQ policies"
- "List users in the local provider"
Project Structure
isilon-mcp-server/
āāā isilon_mcp/
ā āāā __init__.py # Package exports
ā āāā api_client.py # Async HTTP client with Basic Auth
ā āāā config.py # Pydantic configuration models
ā āāā exceptions.py # Exception hierarchy
ā āāā http_server.py # HTTP/SSE transport for n8n
ā āāā logging_config.py # Structured logging
ā āāā main.py # CLI entry point (stdio)
ā āāā server.py # Core MCP server
ā āāā tool_generator.py # OpenAPI to MCP tool generator
āāā powerscale_9.7_comprehensive_openapi.json # Full API spec
āāā pyproject.toml # Package configuration
āāā requirements-mcp.txt # Dependencies
āāā .env.example # Configuration template
āāā README.md # This file
Development
Running Tests
# Install dev dependencies
pip install -e ".[dev]"
# Run tests
pytest
# With coverage
pytest --cov=isilon_mcp --cov-report=html
Code Quality
# Format code
black isilon_mcp/
isort isilon_mcp/
# Lint
ruff check isilon_mcp/
# Type checking
mypy isilon_mcp/
API Reference
Tool Naming Convention
Tools are named using the pattern:
{category}_{operationId}
Examples:
auth_list_providers- List authentication providersprotocols_list_smb_shares- List SMB sharessnapshot_create_snapshot- Create a new snapshotcluster_get_cluster_config- Get cluster configuration
Authentication
The server uses HTTP Basic Authentication with your PowerScale credentials. All requests are made over HTTPS by default.
Error Handling
The server provides detailed error messages for:
- Authentication failures
- Connection errors
- Rate limiting
- API validation errors
Security Considerations
- Never commit
.envfiles - They contain sensitive credentials - Use TLS verification - Set
ISILON_TLS_VERIFY=truein production - Principle of least privilege - Use API users with minimal required permissions
- Read-only mode - Set
READ_ONLY_MODE=truefor monitoring-only access
Troubleshooting
Connection Issues
# Test connection manually
curl -k -u username:password https://your-host:8080/platform/18/cluster/config
Certificate Errors
If using self-signed certificates:
ISILON_TLS_VERIFY=false # Only for testing!
Debug Mode
Enable detailed logging:
LOG_LEVEL=DEBUG
DEBUG_HTTP=true
License
MIT License - see LICENSE for details.
Contributing
Contributions are welcome! Please read our contributing guidelines and submit pull requests.
Acknowledgments
- Dell PowerScale for the comprehensive REST API
- Model Context Protocol for the MCP specification
- Anthropic Claude for AI assistant integration
Recommended Servers
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.
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.
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.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
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.
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.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.