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Safely drive Ansible and Terraform automation in Semaphore with a read-first MCP server.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "semaphore-mcp" yet — see the docs or source repo.
Read the most recent Ansible and Terraform job runs in Semaphore, grouped by project, and list status, start time, end time, and a brief failure summary. Do not execute any changes.
A status overview of recent jobs by project, highlighting failed runs and their causes.
Inspect the production-related Ansible templates and Terraform configuration in Semaphore, then summarize inventories, variables, target hosts, and the latest execution result for a pre-deployment review.
A pre-deployment review summary covering key configuration items and potential risks.
Read logs for failed automation jobs in Semaphore from the past 24 hours, identify the most common error types, separate findings for Ansible and Terraform, and provide troubleshooting suggestions.
A failure analysis report with error categories, affected scope, and troubleshooting recommendations.
Discover, manage, and execute tools across MCP servers with natural language.
Enable AI to understand, navigate, and assist with Terraform codebases.
Safely lets AI agents use threat analysis and security operations tools.
Analyze software dependencies for licenses, vulnerabilities, SBOMs, and policy compliance.
Build, debug, and manage software tasks with natural language across LLMs.
Secure MCP server for authenticated record queries and integration management.