"How to Create Projects in Jira" matching MCP servers:

Provides MCP tools to create, run commands in, checkpoint, and delete durable cloud environments, giving coding agents persistent state between calls.

Enables Claude to discover and understand infrastructure-as-code drift by listing projects with drift, analyzing Terraform plan outputs, and providing remediation information.

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

Enables AI agents to deploy, manage, and configure web applications on sota.io, including project creation, deployment, environment variables, custom domains, and rollbacks.

A reference MCP server for observing Vercel projects and deployments over stdio. It provides read-only tools to list and fetch details of Vercel projects and deployments.

A simple MCP server that provides a basic greeting tool and serves as a starter template for AWS Lambda deployment. Demonstrates how to build and deploy MCP servers with both local development and cloud deployment capabilities.

An MCP server that scaffolds full-stack projects with consistent structure, Docker setup, CI/CD pipelines, and database configuration.

Enables LLMs to securely query and optionally write to ServiceNow instances with strict allowlist/denylist safety controls.

MCP server for the Partiri Cloud PaaS platform. Enables AI agents to manage workspaces, projects, services, deployments, and metrics.

An MCP server that enables LLMs to search, fetch, and act on Google Workspace (Drive, Gmail, Docs, Sheets, etc.) with rich, one-call results and file deposits to disk, reducing context usage.

A Model Context Protocol (MCP) server for the Atlassian Goals API. Enables AI assistants like Claude to query, search, and update Atlassian Goals and Projects.

MCP server for managing Linode cloud resources via the Linode API, enabling LLMs to create, list, delete, and reboot instances.

Local-first FinOps MCP server. Ask about your AWS, Azure, GCP, and SaaS costs in plain English. Anomaly detection, rightsizing, idle-resource cleanup, and Jira/Linear ticketing. Credentials never leave your machine.

A read-only MCP server that enables AI agents to act as GCP platform engineers, allowing them to investigate incidents, take inventory, and find cost-optimization opportunities in Google Cloud projects without mutating any infrastructure.

Publishes static sites to Drop2Run from an AI agent: hand it files written in the chat or a folder on disk, and it returns a live HTTPS URL. Six tools — publish_files, publish_dir, list_sites, delete_site, and login / login_code — with no git, no build step and no repository.

Integrates Aliyun domain API to allow AI assistants to check domain availability, query domain details, list domains, and create registration orders.

An MCP server for running the Infracost CLI to estimate, compare, and publish infrastructure cost changes from Terraform and other IaC projects.

Enables AI agents to explore and operate OpenShift/Kubernetes clusters, offering read-only tools for projects, pods, logs, and resources, with opt-in higher modes for scaling, restarts, applying manifests, and deletions under safe-by-default guards.

Enables AI assistants to search and create venues and artists, and create events on the BNDY platform via AWS Lambda.

A MCP server do create and deploy backend applications using https://heim.dev