Discover our curated collection of MCP servers for deployment & devops. Browse 2341servers and find the perfect MCPs for your needs.
Provides a clean foundation for creating custom Model Context Protocol (MCP) servers to integrate with various AI assistants.
Enables remote execution of shell commands and access to documentation via a Model Context Protocol server.
Provides tools related to Minecraft Pixelmon server management.
Provides production-ready, self-hosted AI infrastructure, enabling the deployment of autonomous AI agents through a Model Context Protocol.
Integrates AI code review capabilities for GitHub and GitLab pull and merge requests.
Provides virtual try-on capabilities via a FastMCP server that integrates with the Replicate API.
Facilitates multi-agent conversations with the OpenStates API by exposing its functionalities as an auto-generated MCP server.
Serves as an MCP server specifically tailored for OpenShift environments.
Manage Docker containers on multiple hosts with this TypeScript-based server implementation.
Orchestrates remote tasks and server management through SSH and SFTP connections, offering hybrid synchronous/asynchronous execution and persistent task queuing.
Facilitates the installation and execution of an MCP server.
Manages dental appointments, availability, and scheduling through Google Calendar via an MCP server.
Manages secure tunnels to expose local servers to the internet via an AI assistant.
Provides a secure server for remote SSH command execution, strictly enforcing read-only operations.
Establishes a Model Context Protocol server on Cloudflare Workers, providing secure OAuth-enabled access for AI clients to custom tools.
Integrates AI assistants with MikroTik RouterOS devices, enabling natural language command execution for network configuration and management.
Provides comprehensive access to the Terraform public registry, enabling AI assistants to search and retrieve information about providers, modules, and documentation.
Deploys a Model Context Protocol (MCP) server for integration with AI models like Microsoft Copilot Studio.
Unifies multiple backend MCP servers into a single interface, simplifying client interaction and routing requests transparently.
Generates a Multi-Agent Conversation Protocol (MCP) server from an OpenAPI specification.
Scroll for more results...