Discover our curated collection of MCP servers for deployment & devops. Browse 3069 servers and find the perfect MCPs for your needs.
Manages Git operations on local repositories through an MCP server.
Integrates AI assistants with Azure DevOps for managing work items, pull requests, and wikis.
Manages unikernels using the nanos/ops toolchain through an mcp server.
Provides daily Wordle solutions by integrating with the official Wordle API.
Provides AI-driven insights and automation for DevOps, SRE, cloud architecture, and platform engineering professionals.
Enables AI-assisted, human-in-the-loop screen interaction capabilities through a streamlined, containerized infrastructure.
Provides a robust backend playground for building and experimenting with a Todo API using NestJS, MongoDB, and Redis, complete with authentication, DTO validation, and Docker support.
Integrates ChatGPT with Index Network's discovery protocol via a Model Context Protocol server.
Integrates the Xray Cloud GraphQL API with Model Context Protocol (MCP) clients like Claude Code.
Integrate Garmin Connect fitness and health data with AI clients and other MCP-compatible applications.
Provides comprehensive filesystem operations accessible via the Streamable HTTP Model Context Protocol.
Empowers LLM coding assistants to accelerate development of Cortex XSIAM/XSOAR content by providing semantic search, SDK operations, and remote tenant management.
Manages remote Linux servers through an AI assistant, enabling command execution, file transfers, and automation via a natural chat interface.
Manages Proxmox Virtual Environment VMs, containers, storage, and cluster resources via a Model Context Protocol (MCP) interface.
Provides core tool implementations and shared helper code for the PlanetScale Model Context Protocol server.
Securely share self-destructing secrets using zero-knowledge encryption and client-side processing.
Enables AI agents to manage Dokploy instances for app deployment, database configuration, domain management, and backups.
Enhances AI coding assistants with a persistent code knowledge graph, offering structural understanding, hybrid retrieval, agent memory, and multi-agent coordination capabilities.
Enables human confirmation requests via Telegram for automated agents.
Establishes a robust governance layer for AI agents, enforcing policies, managing credentials, and auditing interactions with external tools.
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