Discover our curated collection of MCP servers for deployment & devops. Browse 2221servers and find the perfect MCPs for your needs.
Enables AI assistants to securely execute OpenStack CLI commands using the Model Context Protocol (MCP).
Facilitates interaction with Azure DevOps services through AI assistants by providing entity-based tools.
Provides a foundational template for building Model Context Protocol (MCP) servers using Nuxt and Nitro.
Verifies that an MCP server is running the intended, untampered code through hardware attestation.
Query real-time AWS EC2 pricing data to find the cheapest instances based on CPU, RAM, and other specifications.
Connects AI coding assistants with the OpenTelemetry ecosystem to deliver real-time documentation, examples, and instrumentation guidance.
Enables interaction with GitLab accounts to manage repositories, merge requests, CI/CD, and project settings.
Retrieves information about Azure resources across subscriptions using Resource Graph queries.
Empowers AI agents to execute, optimize, and manage JavaScript/TypeScript projects using the Bun runtime via Model Context Protocol.
Provides isolated Docker environments for secure code execution and development environment setup.
Transforms traditional software development into an AI-guided natural conversation experience for rapid MVP and POC creation.
Interacts with gRPC services using the grpcurl command-line tool via Model Context Protocol.
Implements Solana blockchain functionality for the LetsBonk launchpad.
Enables AI assistants to interact with Helm repositories and charts by providing a standardized way to access chart information and values.
Enables Claude Code to seamlessly integrate and leverage Google's Gemini AI through an OpenRouter API key.
Exposes Dokploy functionalities as tools consumable via the Model Context Protocol (MCP).
Enables Claude to interact with and manage Azure services through natural language.
Deploys an unauthenticated Model Context Protocol (MCP) server for PortalJS on Cloudflare Workers.
Enables AI agents to interact with HPC resources, scientific data formats, and research datasets for scientific computing.
Debug Kubernetes clusters conversationally using an LLM that executes commands on your behalf via the Model Control Protocol (MCP).
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