Discover our curated collection of MCP servers for deployment & devops. Browse 3069 servers and find the perfect MCPs for your needs.
Enables natural language interaction with Splunk Enterprise and Cloud for searching data and managing resources.
Enables secure terminal command execution, directory navigation, and file system operations through a standardized interface.
Dynamically creates and manages Model Context Protocol (MCP) servers as child processes, enabling a flexible MCP ecosystem.
Inspects and analyzes running Go processes to provide insights into goroutine states and memory usage.
Provides a CLI and API to manage and execute MCPs locally.
Enables interaction with the Dynatrace observability platform directly within development workflows.
Bridges Jenkins with AI language models, enabling secure and contextual interactions.
Provides tools for accessing and interacting with Alibaba Cloud's observability products like SLS and ARMS.
Manages DigitalOcean resources and performs actions using the DigitalOcean API.
Enhances Proxmox virtualization management with complete OpenAPI integration and advanced VM lifecycle control.
Provides a flexible server and web application for deploying Hugging Face Hub API and search endpoints.
Scans code repositories locally for secrets, Infrastructure as Code misconfigurations, software composition analysis vulnerabilities, and static application security testing issues.
Establishes a foundational server setup for FastMCP applications with integrated development workflows.
Provides a production-ready, OAuth-enabled Model Context Protocol (MCP) server template built in Go for seamless integration with AI providers.
Connects AI assistants to Octopus Deploy instances via the Model Context Protocol (MCP), enabling them to interact with your software delivery systems.
Facilitates the creation of Model Context Protocol (MCP) servers in TypeScript with a minimal and composable framework.
Provides a developer-first framework for building portable, scalable, and secure AI agents with configuration-driven architecture and robust operational features.
Wraps popular developer tools with structured, token-efficient, schema-validated output for AI coding agents.
Automate multi-vendor network infrastructure management using AI-powered insights, natural language commands, and a real-time web dashboard.
Provides persistent, consensus-validated memory infrastructure for AI agents that integrates with any large language model.
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