Discover our curated collection of MCP servers for deployment & devops. Browse 3086 servers and find the perfect MCPs for your needs.
Manages `.clinerules` files through reusable components and persona templates with version tracking.
Executes command-line operations through the Model Context Protocol (MCP).
Enables querying of AWS resources using boto3 code snippets via a Model Context Protocol (MCP) server.
Integrates AI assistants with the Terraform Cloud API, enabling infrastructure management through natural language.
Facilitates the easy running, deployment, and connection to Model Context Protocol servers.
Executes k6 load tests via the Model Context Protocol (MCP).
Provides a Docker image for mcpo, exposing Model Context Protocol (MCP) servers as OpenAPI endpoints for OpenWebUI.
Manages OPNsense firewalls by enabling natural language interaction through MCP-compatible AI clients via the OPNsense API.
Enables AI agents to query, discover, and analyze Prometheus metrics through natural language interactions via a unified interface.
Scans and remediates hardcoded secrets in codebases using GitGuardian's API, detecting over 500 secret types.
Provides a TCP-based Model Context Protocol server for remotely building, testing, and running .NET Framework projects on Windows.
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 AI assistants to securely access Kernel platform tools and perform low-latency cloud-browser automation.
Enables AI assistants to interact with Salesforce organizations by providing tools for Apex execution, data querying, metadata management, and code analysis via the Salesforce CLI.
Streamlines local AWS cloud development and testing by managing LocalStack containers and related tasks through a Model Context Protocol server.
Spawns ephemeral Linux sandbox containers using Docker to execute commands via an interactive TTY interface, enabling collaborative AI and human interaction.
Provides a command-line interface for interacting with the Horizon3.ai API, enabling automation of autonomous pentesting workflows.
Enables the creation of Model Context Protocol (MCP) servers through simple configuration files, eliminating the need for custom code.
Provides AI-powered monitoring and full operational capabilities for VMware vCenter and ESXi environments.
Provides a zero-dependency Java HTTP/1.1 and Server-Sent Event server for building robust APIs and agentic systems.
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