"ImageKit image optimization and delivery service" matching MCP servers:

Automates task delivery by providing tools for running delivery workflows, creating merge requests, updating Jira issues, and generating release notes.

Enables querying Azure VM image-baking pipeline runs, build status, and release evidence, and safely queueing pipeline runs with strict confirmation and parameter allow-lists.

Monitor failing GitHub Actions workflows, auto-fix them with OpenCode, and retry the run — driven by a workflow_run webhook, coordinated through an MCP server.

A Model Context Protocol service that wraps Django's migration commands as MCP endpoints, making it easy to manage migrations across multiple services and integrate with CI/CD pipelines.

Provides secure access to containerized build environments for software projects, enabling AI assistants to execute builds, run tests, manage git operations, and inspect build artifacts without requiring local installation of dependencies.

MCP server for Xcode build optimization, providing build-timing analysis, DerivedData/module-cache management, and build-speed config linting for AI coding agents.

Enables AI assistants to set up, run, and manage Ballerina + Salesforce integrations inside a WSO2 Integrator workspace, providing 18 tools for OAuth2 token acquisition, project scaffolding, building, deploying, and stopping the integration service.

Enables AI agents to enforce a software delivery standard by validating artifacts against declarative rules, providing templates, glossary terms, and pass/fail verdicts with actionable blockers.

MCP server that analyzes GitHub Actions workflow performance, audits configuration for optimization, and provides billing and cache usage insights.

MCP server that wraps Docker, Caddy, and GitHub Actions operations on a remote VPS, enabling Claude to take read-then-write-with-confirmation infrastructure actions over SSH with a service allowlist and audit-trail-friendly responses.

Enables AI assistants to query and manage KubeVela application delivery: check application status, trigger deployments, track workflows, manage addons, and more.

Enables MCP-compatible AI agents to deploy and manage applications on Google Cloud Run, including service deployment, listing, logging, and project creation.

Enables inspecting local Git repositories and automating delivery tasks such as status checks, diffs, commits, pull requests, and deployments using git and GitHub CLI.

Enables comprehensive Datadog monitoring capabilities including CI/CD pipeline management, service logs analysis, metrics querying, monitor and SLO management, service definitions retrieval, and team management through Claude and other MCP clients.

MCP server bridging Spinnaker continuous delivery platform to LLMs for application, pipeline, and deployment management

AI-native control plane for Kubernetes and GitOps. Provides 30+ tools for service deployment, database provisioning, and log management via natural language.

Enables interacting with Adios workspaces, previews, builds, logs, and deployments from MCP clients. Hosted service at Adios, no local deployment needed.

Enables AI assistants to interact with Alibaba Cloud Yunxiao DevOps platform for managing projects, code repositories, work items, pipelines, deployments, and testing workflows through comprehensive organization, development, and delivery tools.

Enables deploying and managing infrastructure via natural language, including project/domain management, compute nodes, image deployment, and CI/CD integration.

Enables AI assistants to interact with Alibaba Cloud Yunxiao platform for managing code repositories, work items, pipelines, packages, and application delivery. Supports project collaboration, code reviews, and automated deployment workflows.