AI Agent for MCP Nomad
Integrate your HashiCorp Nomad environment with a powerful Golang-based MCP server for streamlined job, deployment, namespace, and cluster management. Automate complex workflows, enforce security policies, and manage resources with ease using the advanced Model Context Protocol integration.
Unified Job & Deployment Management
Control your Nomad jobs and deployments from a single MCP interface. Monitor job statuses, automate scaling, dispatch parameterized jobs, and revert or update deployments efficiently. Save time, reduce human error, and keep your infrastructure running optimally.
- Comprehensive Job Control.
- List, update, revert, and dispatch jobs directly, including parameterized and periodic jobs.
- Automated Deployment Management.
- Effortlessly monitor, update, and scale deployments, ensuring high availability and reliability.
- Real-time Monitoring.
- Quickly access job summaries, allocation details, and deployment statuses for instant insight.
- Seamless Integration.
- Integrate with MCP for a unified, secure, and automated control layer over your Nomad infrastructure.
Advanced Namespace, Node & Variable Management
Easily manage namespaces, nodes, and cluster-wide variables with robust filtering, CAS support, and namespace-scoped operations. Optimize your environment for security, scalability, and compliance.
- Namespace Operations.
- List, create, and delete namespaces to organize and secure workloads.
- Node Management.
- List, drain, and update node eligibility for maintenance and scaling.
- Variable Management.
- Securely manage variables with filtering, pagination, and namespace support.
Security, ACL, and Cluster Policy Automation
Strengthen your Nomad clusters with integrated ACL token and policy management, Sentinel policy support, and cluster-wide visibility. Automate governance, enforce compliance, and bootstrap secure access in one place.
- ACL Automation.
- List, create, and manage ACL tokens, policies, and roles; bootstrap ACL system securely.
- Sentinel Policy Management.
- Manage Sentinel policies to enforce compliance and governance across workloads.
- Cluster Insights.
- Monitor cluster leader, peers, and regions for complete operational visibility.
MCP INTEGRATION
Available Nomad MCP Integration Tools
The following tools are available as part of the Nomad MCP integration:
- list_jobs
List all jobs managed by the Nomad cluster.
- get_job
Retrieve detailed information about a specific job.
- run_job
Run or submit a new job definition to the Nomad cluster.
- stop_job
Stop a running job in the Nomad environment.
- get_job_versions
Retrieve all available versions of a given job.
- get_job_submission
Get the submission details for a specific job.
- list_job_allocations
List all allocations associated with a job.
- list_job_evaluations
List all evaluations related to a job.
- list_job_deployments
List all deployments for a given job.
- get_job_deployment
Retrieve details about a specific job deployment.
- get_job_summary
Get a summary of the job’s current status and statistics.
- update_job
Update an existing job with new parameters or configuration.
- dispatch_job
Dispatch a parameterized job for ad-hoc execution.
- revert_job
Revert a job to a previous version.
- set_job_stability
Set or change the stability status of a job.
- create_job_evaluation
Manually trigger a new evaluation for a job.
- create_job_plan
Create a plan for a job to preview changes before applying.
- force_new_periodic_instance
Force the creation of a new instance for periodic jobs.
- get_job_scale_status
Get scaling status and information for job task groups.
- scale_task_group
Scale a task group up or down within a job.
- list_job_services
List all services associated with a job.
- list_deployments
List all active or historical deployments in the cluster.
- get_deployment
Get detailed information about a deployment.
- list_namespaces
List all namespaces configured in the Nomad cluster.
- create_namespace
Create a new namespace for isolating workloads.
- delete_namespace
Delete an existing namespace from the cluster.
- list_nodes
List all nodes registered in the cluster.
- get_node
Get detailed information about a specific node.
- drain_node
Drain a node to safely migrate workloads before maintenance.
- set_node_eligibility
Set or update a node’s eligibility for scheduling.
- list_allocations
List all allocations currently managed by the cluster.
- get_allocation
Retrieve details about a specific allocation.
- get_allocation_logs
Get logs for a specific allocation.
- get_task_logs
Retrieve logs for a given task within an allocation.
- list_variables
List variables with support for filtering and pagination.
- get_variable
Get detailed information about a specific variable.
- create_variable
Create a new variable with namespace support.
- delete_variable
Delete a variable with optional CAS support.
- list_volumes
List all volumes available to the Nomad cluster.
- get_volume
Get details about a specific volume.
- delete_volume
Delete a volume from the cluster.
- list_volume_claims
List all volume claims in the cluster.
- delete_volume_claim
Delete a specific volume claim.
- list_acl_tokens
List all ACL tokens configured in the system.
- get_acl_token
Get details about a specific ACL token.
- create_acl_token
Create a new ACL token for access control.
- delete_acl_token
Delete an ACL token from the system.
- list_acl_policies
List all ACL policies available in the cluster.
- get_acl_policy
Get details about a particular ACL policy.
- create_acl_policy
Create a new ACL policy for fine-grained access control.
- delete_acl_policy
Delete an ACL policy from the cluster.
- list_acl_roles
List all ACL roles defined in the system.
- get_acl_role
Get information about a specific ACL role.
- create_acl_role
Create a new ACL role for authorization management.
- delete_acl_role
Delete an ACL role from the system.
- bootstrap_acl
Bootstrap the ACL system for the Nomad cluster.
- list_sentinel_policies
List all Sentinel policies present in the cluster.
- get_sentinel_policy
Get details about a specific Sentinel policy.
- create_sentinel_policy
Create a new Sentinel policy.
- delete_sentinel_policy
Delete a Sentinel policy from the system.
- get_cluster_leader
Retrieve the current leader of the Nomad cluster.
- list_cluster_peers
List all peers participating in the Nomad cluster.
- list_regions
List all regions configured in the Nomad deployment.
Manage Nomad Clusters Effortlessly with MCP Nomad Go
Unlock powerful job, deployment, and cluster management for HashiCorp Nomad with this feature-rich Golang-based MCP server. Integrate easily with your tools, automate workflows, and streamline infrastructure operations—get started now!
What is MCP Nomad
MCP Nomad is an open-source server implementation for the Model Context Protocol (MCP), designed to interface with HashiCorp Nomad, a flexible, enterprise-grade workload orchestrator. Developed in Golang, MCP Nomad enables seamless integration of AI-driven workflows with Nomad clusters, allowing users to manage, automate, and scale containerized and non-containerized workloads. The server facilitates communication between AI agents and the Nomad platform, making it easier to deploy, monitor, and control computing jobs programmatically. Its extensible architecture supports advanced orchestration scenarios, event-driven automation, and integration with modern CI/CD pipelines, making it ideal for both developers and organizations aiming to leverage the power of AI and automation in infrastructure management.
Capabilities
What we can do with MCP Nomad
MCP Nomad empowers users to automate, orchestrate, and optimize workloads on Nomad clusters by exposing a programmable interface for AI agents and developers. Here are key capabilities:
- Automated Job Deployment
- Easily deploy and manage workloads on Nomad clusters via AI-driven commands.
- Event-Driven Automation
- Trigger jobs and scale resources automatically based on real-time events or policies.
- Seamless Infrastructure Integration
- Integrate with CI/CD pipelines and DevOps workflows for continuous deployment and monitoring.
- Resource Optimization
- Dynamically allocate resources and balance workloads to maximize cluster efficiency.
- Observability & Monitoring
- Gain deep visibility into job status, cluster health, and workflow execution for troubleshooting and optimization.
How AI Agents Benefit from MCP Nomad
AI agents can leverage MCP Nomad to orchestrate complex infrastructure tasks autonomously, enabling automated job scheduling, resource management, and real-time scaling. By integrating with MCP Nomad, agents gain the ability to provision and monitor compute resources on demand, adapt workflows to system load, and ensure high availability and resilience of services. This translates to reduced operational overhead, faster response to changing requirements, and greater agility in managing cloud-native environments.