Harness MCP Server
Automate CI/CD and DevOps workflows via Harness — manage pipelines, executions, and secrets directly from any AI agent.
Vinkius AI Gateway prend en charge le streamable HTTP et le SSE.
Fonctionne avec tous les agents IA que vous utilisez déjà
…et tout client compatible MCP
Harness MCP Server : voyez votre AI Agent en action
Capacités intégrées (11)
execute_pipeline
Trigger the execution of a pipeline
get_audit_logs
Retrieve platform audit logs
get_execution_status
Get status and step details for a specific pipeline execution
get_pipeline
Get details and YAML for a specific pipeline
list_connectors
List infrastructure connectors (Git, Docker, K8s, etc.)
list_environments
List environments defined in a project
list_executions
List executions for a specific pipeline
list_pipelines
List pipelines within a specific project
list_projects
List all projects in the configured Harness organization
list_secrets
List secrets configured in a project
list_services
List services (microservices) defined in a project
Ce que ce connecteur débloque
Connect your Harness.io platform to any AI agent and take full control of your software delivery and CI/CD pipelines through natural conversation.
What you can do
- Pipeline Management — List, inspect, and trigger pipeline executions across your projects.
- Execution Monitoring — Get real-time status updates and step details for active deployments.
- Project Oversight — Browse your organizational structure and list projects within specific organizations.
- Secrets & Infrastructure — Access lists of secrets, connectors, and environments to ensure your infrastructure is correctly configured.
- Audit & Compliance — Retrieve platform audit logs to monitor changes and ensure security standards.
- Service Insights — List microservices and environments defined in your DevOps ecosystem.
How it works
1. Subscribe to this server
2. Enter your Harness API Key, Account ID, and Organization ID
3. Start managing your CI/CD pipelines from Claude, Cursor, or any MCP-compatible client
No more manual navigating through complex DevOps dashboards. Your AI assistant acts as a dedicated Release Engineer or DevOps Coordinator.
Who is this for?
- DevOps Engineers — instantly retrieve pipeline statuses and trigger deployments without leaving the IDE.
- SREs — monitor execution failures and audit logs to maintain platform stability.
- Release Managers — automate the oversight of multiple projects and delivery pipelines.
Questions fréquemment posées
Donnez à vos agents IA la puissance de Harness
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