AI Delivery MCP
Related Servers
Alternatives to AI Delivery MCP
No user-submitted related servers found.
Related Servers
- FlicenseAqualityCmaintenanceEnables inspecting local Git repositories and automating delivery tasks such as status checks, diffs, commits, pull requests, and deployments using git and GitHub CLI.6-
- AlicenseNot gradedqualityDmaintenanceAutomates routine DevOps tasks like Jenkins builds and GitLab merge requests through the MCP protocol, simplifying daily operations.4 npm1MIT
- FlicenseCqualityDmaintenanceProvides automated Git workflow tools for committing, creating pull requests, and merging with proper GitHub authentication handling. Supports complete Git workflows from commit to merge with dry run capabilities and conventional commit formatting.41-
- FlicenseNot gradedqualityCmaintenanceAutomates CI/CD pipeline control, PR review, Git operations, and monitoring/alerting with role-based access control.-
- AlicenseNot gradedqualityDmaintenanceEnables end-to-end automation of developer workflows from Jira issue tracking to GitHub pull requests through natural language, allowing developers to search issues, create branches, commit changes, and manage PRs directly from their IDE.2MIT
- AlicenseNot gradedqualityBmaintenanceEnables software delivery as a sequence of named, gated workflow steps, from discovery and planning through build, review, and handoff, with verifiable gates and resumable state outside the chat.3 npmMIT
TDQS
Scored across 3 tools
Each tool targets a distinct phase of the delivery workflow: prepare creates a preview without side effects, compose generates a Jira update after a merge, and finalize persists results. There is no overlap in their purposes or expected inputs.
All tool names follow a consistent verb_noun pattern (prepare, compose, finalize) with clear action-first naming. The style is uniform and predictable.
With three tools, the server is slightly lean but well-scoped to the core delivery lifecycle. Each tool is necessary and the count feels reasonable for the narrow, focused purpose.
The workflow covers prepare, compose, and finalize, which form a complete pipeline from preview to persistence. Minor gaps like status checks or cancellation are absent but not critical to the primary delivery flow.