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Version: Release SaaS

Release MCP Server Overview

Digital.ai Release SaaS includes a built-in Model Context Protocol (MCP) server through the bundled Release MCP Tools Plugin. This built-in MCP server powers Ask Release and supports AI-driven automation and orchestration across release pipelines.

For plugin details and the complete tool list, see Release MCP Tools Plugin.

Support and Compatibility​

The MCP server is designed and maintained primarily to support Ask Release. The following guidelines apply:

  • The available tools are tailored to Ask Release functionality and evolve as requirements change.
  • Tools may be added, modified, or removed without prior notice.
  • Custom integrations built directly on the MCP Server tools are not officially supported and may break due to changes in the tool surface.

Key Capabilities​

  • Release Management: Create, search, count, and manage releases using natural language and AI-driven filtering.
  • Template Operations: Design, review, and optimize deployment templates with AI guidance, including support for complex deployment patterns.
  • Task & Phase Management: Add, update, convert, and delete tasks or phases with AI recommendations. Includes support for gate tasks and workflow optimization.
  • Configuration Management: Integrate with external systems (Jenkins, JIRA, Git) and manage configuration objects with AI assistance.
  • Variable Management: Manage variables across global, folder, release, and template scopes in one unified interface.
  • Monitoring & Analysis: Retrieve activity logs, analyze failures, and get AI-powered suggestions for root cause and remediation.
  • Type System Discovery: Explore available types and metadata for tasks, phases, and configurations with AI recommendations.
  • Attachment Handling: Download logs and diagnostic files, with AI able to summarize or extract key insights.
  • ReadOnly Mode: Safely explore and analyze your environment with AI, without making changes.