Discover our curated collection of MCP servers for deployment & devops. Browse 2223servers and find the perfect MCPs for your needs.
Implements a system-wide Model Context Protocol server offering file operations, HTTP requests, and command execution.
Enables AI assistants to interact with Docker via the Model Context Protocol (MCP).
Executes Kubernetes commands and interprets their output via a given kubeconfig path.
Enables programmatic interaction with the GitHub API for file operations, repository management, search, and more.
Exposes LangChain agent capabilities as a production-ready server via the Model Context Protocol.
Validate molecular poses for physical and chemical plausibility via HTTP or Hugging Face Spaces using the Model Context Protocol (MCP).
Provides intelligent, persistent memory for AI assistants like Claude Code via a self-hosted Model Context Protocol (MCP) server.
Integrates popular web application security scanners into a Model Context Protocol (MCP) server for centralized management and execution.
Integrates with Azure DevOps to manage work items, wiki documentation, sprint planning, and handle attachments and discussions.
Assists students in preparing for any exam or test by serving as an intelligent, AI-powered study companion.
Ensures AI-generated code is production-ready by enforcing quality guardrails and deployability standards.
Orchestrates a collection of MCP servers and tools for enhanced cybersecurity operations, integrating with AI assistants.
Enables interaction with AWS CloudWatch resources, exposing log groups, queries, and alarms via the MCP protocol.
Empower AI agents to safely read, modify, and validate JSON, YAML, and TOML files with a token-efficient and schema-aware interface.
Defines and executes API tools using the Model Context Protocol, offering a lightweight and extensible server.
Provides a low-latency, clustered key-value store with HTTP and WebSocket interfaces, designed for cloud-native deployment.
Monitors worker productivity and automates termination based on predefined criteria.
Integrates TAK Server with AI systems to provide geospatial-aware deep research and analysis capabilities.
Facilitates the generation of valid Terraform code and enforces ephemeral-values compliance for multi-cloud environments.
Manages PostgreSQL backup information, enabling natural language queries through an MCP client.
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