Discover our curated collection of MCP servers for deployment & devops. Browse 3446 servers and find the perfect MCPs for your needs.
Manages `.clinerules` files through reusable components and persona templates with version tracking.
Provides PostgreSQL database management capabilities, assisting with analysis, guidance, and debugging.
Provides sophisticated tools for interacting with PocketBase databases, enabling advanced database operations, schema management, and data manipulation.
Deploys a Model Context Protocol Server-Sent Events (SSE) deployment on Google Cloud Run with IAM authentication.
Integrates AI assistants with the Terraform Cloud API, enabling infrastructure management through natural language.
Enables remote execution of Linux commands using the Model Context Protocol.
Enables configuration and management of Higress through a Model Context Protocol (MCP) server implementation.
Enables local development environments to create, execute, and manage end-to-end tests using Octomind tools and resources.
Provides an MCP interface to access repository information, issues, pull requests, and more from GitHub Enterprise.
Integrates with Microsoft Security Copilot and Sentinel to enhance development, testing, and deployment of security artifacts.
Enables interaction with GrowthBook directly from LLM clients for managing feature flags and experiments.
Enables AI assistants to interact with Helm repositories and charts by providing a standardized way to access chart information and values.
Enables AI assistants to discover and provision Model Context Protocol servers.
Provides a TCP-based Model Context Protocol server for remotely building, testing, and running .NET Framework projects on Windows.
Provides a self-hostable server for automatic license plate recognition via REST and Model Context Protocol APIs.
Streamlines local AWS cloud development and testing by managing LocalStack containers and related tasks through a Model Context Protocol server.
Automate professional OpenStack cluster management, monitoring, and resource operations through an AI-integrated server.
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.
Orchestrates multiple AI models for automated code review, security analysis, and multi-agent consensus within development workflows.
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