A Model Context Protocol (MCP) server that provides comprehensive tools for connecting LLMs to Itential Platform. Enable AI assistants to manage network automations, orchestrate workflows, monitor platform health, and perform advanced network operations.
Manage infrastructure, monitor system health, configure devices, and orchestrate network operations through AI-powered automation.
Build automation workflows, integrate with external systems, manage application lifecycles, and extend platform capabilities.
- Advanced Tool Selection: Filter and control available tools using flexible tagging system
- Multiple Transport Methods: stdio, SSE, and HTTP transports for different deployment scenarios
- Dynamic Tool Discovery: Automatically discovers and registers tools without code modifications
- Flexible Authentication: Supports both basic authentication and OAuth 2.0 for Itential Platform
- Comprehensive Configuration: CLI parameters, environment variables, or configuration files
- Device Management: Configure, backup, and monitor network devices
- Command Execution: Run commands and templates across device groups
- Compliance Management: Automated compliance checking and reporting
- Golden Configuration: Template-based configuration management
- Workflow Execution: Trigger and monitor automation workflows
- Operations Management: Job tracking and lifecycle management
- Lifecycle Manager: CRUD operations for stateful products with state tracking
- Service Integration: Connect with external systems and APIs
- Health Monitoring: Real-time platform and component health metrics
- Resource Management: Adapter and application lifecycle control
- Gateway Services: External service management and orchestration
- Python 3.10 or higher
- Access to an Itential Platform Instance
- For development -
uv
andmake
This project is automatically tested against the following Python versions:
- Python 3.10
- Python 3.11
- Python 3.12
- Python 3.13
The itential-mcp
application can be installed using either PyPI or it can be
run directly from source.
To install it from PyPI, simply use pip
:
pip install itential-mcp
The repository can also be clone the repository to your local environment to
work with the MCP server. The project uses uv
and make
so both tools
would need to be installed and available in your environment.
The following commands can be used to get started.
git clone https://github.com/itential/itential-mcp
cd itential-mcp
make build
For development, you can run the server directly using uv
:
# Run with stdio transport (default)
uv run itential-mcp run
# Run with SSE transport
uv run itential-mcp run --transport sse --host 0.0.0.0 --port 8000
# Run with specific configuration
uv run itential-mcp run --include-tags "system,devices" --exclude-tags "experimental"
Build and run as a container:
# Build the container image
make container
# Run the container with environment variables
docker run -p 8000:8000 \
--env ITENTIAL_MCP_SERVER_TRANSPORT=sse \
--env ITENTIAL_MCP_SERVER_HOST=0.0.0.0 \
--env ITENTIAL_MCP_SERVER_PORT=8000 \
--env ITENTIAL_MCP_PLATFORM_HOST=URL \
--env ITENTIAL_MCP_PLATFORM_CLIENT_ID=CLIENT_ID \
--env ITENTIAL_MCP_PLATFORM_CLIENT_SECRET=CLIENT_SECRET \
itential-mcp:devel
pip install itential-mcp
Set your Itential Platform credentials:
export ITENTIAL_MCP_PLATFORM_HOST="your-platform.example.com"
export ITENTIAL_MCP_PLATFORM_USER="your-username"
export ITENTIAL_MCP_PLATFORM_PASSWORD="your-password"
# Basic stdio transport (default)
itential-mcp run
# Or with SSE transport for web clients
itential-mcp run --transport sse --host 0.0.0.0 --port 8000
Follow the integration guide to connect Claude, Continue.dev, or other MCP clients.
Start the MCP server with default settings (stdio transport):
itential-mcp run
Start with SSE transport:
itential-mcp run --transport sse --host 0.0.0.0 --port 8000
Option | Description | Default |
---|---|---|
--config |
Path to the config file | none |
Option | Description | Default |
---|---|---|
--transport |
Transport protocol (stdio, sse, http) | stdio |
--host |
Host address to listen on | localhost |
--port |
Port to listen on | 8000 |
--path |
The streamable HTTP path to use | /mcp |
--log-level |
Log level (DEBUG, INFO, WARNING, ERROR, CRITICAL) | INFO |
--include-tags |
Tags to include registered tools | none |
--exclude-tags |
Tags to exclude registered tools | experimental,beta |
Option | Description | Default |
---|---|---|
--platform-host |
Itential Platform hostname | localhost |
--platform-port |
Platform port (0 = auto-detect) | 0 |
--platform-disable-tls |
Disable TLS for platform connection | false |
--platform-disable-verify |
Disable certificate verification | false |
--platform-timeout |
Connection timeout | 30 |
--platform-user |
Username for authentication | admin |
--platform-password |
Password for authentication | admin |
--platform-client-id |
OAuth client ID | none |
--platform-client-secret |
OAuth client secret | none |
All command line options can also be set using environment variables prefixed with ITENTIAL_MCP_SERVER_
. For example:
export ITENTIAL_MCP_SERVER_TRANSPORT=sse
export ITENTIAL_MCP_PLATFORM_HOST=platform.example.com
itential-mcp run # Will use the environment variables
The server configuration can also be specified using a configuration file. The
configuration file can be used to pass in all the configuration parameters. To
use a configuration file, simply pass in the --config <path>
command line
argument where <path>
points to the configuration file to load.
The format and values for the configuration file are documented here
When configuration options are specified in multiple places the following precedence for determinting the value to be used will be honored from highest to lowest:
- Environment variable
- Command line option
- Configuration file
- Default value
The Itential MCP server provides powerful tool filtering capabilities through a comprehensive tagging system. This allows you to customize which tools are available based on your specific needs and security requirements.
Control tool availability using include and exclude tags:
# Include only system and device management tools
itential-mcp run --include-tags "system,configuration_manager,devices"
# Exclude experimental and beta tools (default behavior)
itential-mcp run --exclude-tags "experimental,beta,lifecycle_manager"
Tag Group | Description | Use Case |
---|---|---|
system |
Platform health and monitoring | Platform administrators |
configuration_manager |
Device and compliance management | Network engineers |
devices |
Device-specific operations | NOC teams |
operations_manager |
Workflow and job management | Automation developers |
adapters |
Adapter lifecycle management | Integration specialists |
applications |
Application lifecycle management | Application owners |
automation_studio |
Command templates and automation | Network operators |
gateway_manager |
External service management | System integrators |
integrations |
External system integrations | API developers |
lifecycle_manager |
Stateful product CRUD operations and state tracking | Product managers |
workflow_engine |
Workflow execution metrics | Performance analysts |
The following role-based configurations provide tailored tool access based on specific job functions and responsibilities:
Platform SRE: Use Cases: Platform & application administration, Adapter management, Integration management, Troubleshooting, Platform overall health and functionality
itential-mcp run --include-tags "system,adapters,applications,integrations"
Available Tools: get_health, restart_application, start_application, stop_application, create_integration_model, get_job_metrics, get_task_metrics, restart_adapter, start_adapter, stop_adapter, get_task_metrics_for_app, get_task_metrics_for_task, get_task_metrics_for_workflow
Platform Builder: Use Cases: Asset development, Asset promotion, Workflow metrics analysis, Resource lifecycle management
itential-mcp run --include-tags "operations_manager,automation_studio,configuration_manager,workflow_engine,lifecycle_manager"
Available Tools: create_resource, get_workflows, describe_command_template, run_command_template, run_command, render_template, create_device_group, get_resources, describe_resource, get_instances, backup_device_configuration, apply_device_configuration, get_compliance_plans, run_compliance_plan, get_adapters, get_applications, get_integration_models, get_job_metrics, get_job_metrics_for_workflow, get_task_metrics, get_task_metrics_for_workflow, get_task_metrics_for_app, get_task_metrics_for_task, describe_instance, run_action
Automation Developer: Use Cases: Asset development, Asset promotion, External service management
itential-mcp run --include-tags "operations_manager,gateway_manager"
Available Tools: create_resource, get_services, get_gateways, run_service
Platform Operator: Use Cases: Execute jobs, Run compliance, Consume data
itential-mcp run --include-tags "operations_manager,devices,configuration_manager,automation_studio"
Available Tools: get_workflows, start_workflow, get_jobs, describe_job, get_devices, get_device_configuration, get_device_groups, get_command_templates, run_command_template, describe_compliance_report
The entire list of available tools can be found in the tools documentation along with detailed tag associations.
- MCP Client Integration - Configure Claude, Continue.dev, and other MCP clients
- Configuration Examples - Complete configuration file reference
- Tagging System - Advanced tagging and filtering guide
- Workflow Execution - Running automation workflows
- Claude Desktop Prompt - Optimized prompt for Claude integration
- GPT Integration Prompt - Optimized prompt for GPT integration
The entire list of available tools can be found in the tools file along with the tag groups associated with those tools.
Adding a new tool is simple:
- Create a new Python file in the
src/itential_mcp/tools/
directory or add a function to an existing file - Define an async function with a
Context
parameter annotation:
from fastmcp import Context
async def my_new_tool(ctx: Context) -> dict:
"""
Description of what the tool does
Args:
ctx (Context): The FastMCP Context object
Returns:
dict: The response data
Raises:
None
"""
# Get the platform client
client = ctx.request_context.lifespan_context.get("client")
# Make API requests
res = await client.get("/your/api/path")
# Return JSON-serializable results
return res.json()
Tools are automatically discovered and registered when the server starts.
Run the test suite with:
make test
For test coverage information:
make coverage
Contributions are welcome! Please read our Code of Conduct before contributing.
- Fork the repository
- Create a feature branch:
git checkout -b feature/my-feature
- Commit your changes:
git commit -am 'Add new feature'
- Push to the branch:
git push origin feature/my-feature
- Submit a pull request
Before submitting:
- Run
make premerge
to ensure tests pass and code style is correct - Add documentation for new features
- Add tests for new functionality
This project is licensed under the GNU General Public License v3.0 - see the LICENSE file for details.
Copyright (c) 2025 Itential, Inc