Discover our curated collection of MCP servers for deployment & devops. Browse 2344servers and find the perfect MCPs for your needs.
Accelerates Model Context Protocol (MCP) server development with an out-of-the-box, production-grade scaffold.
Manages OPNsense firewalls by enabling natural language interaction through MCP-compatible AI clients via the OPNsense API.
Enables the use of Alibaba Cloud ESA (Edge Routine) services through the MCP protocol.
Scans and remediates hardcoded secrets in codebases using GitGuardian's API, detecting over 500 secret types.
Empowers AI assistants with specialist DevOps agents to manage infrastructure and services with integrated security and reliability guidance.
Provides a modular Model Context Protocol server to manage OPNsense firewalls through AI assistants.
Enables AI agents to query, discover, and analyze Prometheus metrics through natural language interactions via a unified interface.
Enables AI models to control your PC or server via SSH or terminal.
Provides comprehensive brew support for installing, upgrading, searching, and maintaining macOS packages.
Enables AI assistants to interact with and manage infrastructure-as-code operations for Ansible, Terraform, and LocalStack.
Enables AI assistants to securely access Kernel platform tools and perform low-latency cloud-browser automation.
Executes k6 load tests via the Model Context Protocol (MCP).
Executes command-line operations through the Model Context Protocol (MCP).
Facilitates the easy running, deployment, and connection to Model Context Protocol servers.
Enables AI assistants to interact with Red Hat's automation and infrastructure ecosystem, encompassing Ansible Automation Platform, Event-Driven Ansible, ansible-lint, and official Red Hat documentation.
Enables querying of AWS resources using boto3 code snippets via a Model Context Protocol (MCP) server.
Provides AI models with persistent tool context, ensuring consistency across chat sessions and eliminating the need to re-establish context.
Manages `.clinerules` files through reusable components and persona templates with version tracking.
Enables AI agents to dynamically acquire and control PTY connections for interacting with CLI-based tools.
Provides a Docker image for mcpo, exposing Model Context Protocol (MCP) servers as OpenAPI endpoints for OpenWebUI.
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