Deployment & DevOps MCP Servers
Discover our curated collection of MCP servers for deployment & devops. Browse 362 servers and find the perfect MCPs for your needs.
Laravel Artisan
Enables secure execution of Laravel Artisan commands through Claude and other MCP clients.
Sse
Facilitates Server-Sent Events (SSE) functionality for MCP server applications.
Alpha Server for Pterodactyl
Provides cores for hosting Minecraft Pocket Edition Alpha servers using the Pterodactyl panel.
Azure DevOps
Facilitates management and control plane operations for Azure DevOps.
Github Issue Resolver
Automatically analyzes GitHub issues and suggests resolutions or automated fixes.
Cloudflare GitHub Backup
Backs up Cloudflare projects to a GitHub repository.
Aws Server
Enables Claude to interact with and manage AWS resources such as S3 buckets and DynamoDB tables.
Kubernetes Connector
Enables management of Kubernetes clusters through an MCP Server interface.
Github
Manages and interacts with GitHub repositories through the Model Context Protocol.
Cloud PC Management
Manages Azure Cloud PCs using the Microsoft Graph API.
Clarion Builder
Automates Clarion IDE operations, project compilation, and build management using ClarionCL and MSBuild.
Mymcpserv
Provides a scalable server implementation for managing AI interactions, conversations, and monitoring.
Project Hub
Manages local software projects, tracks changes, and synchronizes with GitHub repositories.
Clarion Builder
Automates Clarion IDE operations, project compilation, and build management.
Modular Server
Enables execution of various tasks on a server through a modular tool interface secured with path restrictions.
Key Server
Securely stores API keys and provides npm package installation.
S3 Tools
Provides tools for interacting with AWS S3 buckets via the Model Context Protocol.
Chatgpt Docker Manager
Enables Docker container management through natural language using a custom GPT interface.
Bitbucket Server
Enables interaction with the Bitbucket Server API for pull request management through the Model Context Protocol.
Bunnyshell
Enables AI assistants to interact with the Bunnyshell platform via natural language commands.
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