Discover our curated collection of MCP servers for deployment & devops. Browse 2344servers and find the perfect MCPs for your needs.
Manages multi-cloud resources across AWS, Google Cloud, Azure, and DigitalOcean using Model Context Protocol tools.
Provides a core server for managing application components.
Enables programmatic management of Microsoft Dataverse schemas, including tables, columns, relationships, and option sets.
Exposes MCP tools via NATS microservices, functioning either standalone or as a Go library.
Executes terminal commands on local or remote hosts via SSH, featuring session persistence and environment variable support for efficient workflows.
Demonstrates a custom Model Context Protocol (MCP) implementation for basic arithmetic operations.
Executes an agent, potentially for use with CodeQL analysis on local Git repositories within a Docker container.
Enables AI assistants to query and validate vCluster YAML configurations directly from GitHub.
Generates production-ready Apollo GraphQL servers directly from BigQuery SQL queries, incorporating Dataplex lineage tracking for robust data governance.
Provides a framework for building and deploying interactive tools and conversational agents using the Multi-Agent Communication Protocol (MCP).
Exposes the VaultMesh-Architect skill as explicit, auditable tools, supporting subsystem spawning, multi-chain anchoring, governance entries, and capability issuance.
Provides AI agents with a high-performance Model Context Protocol (MCP) server, enabling deterministic solutions for Linear Programming, Scheduling, VRP, and Supply Chain Optimization.
Provides a unified server to check package versions and metadata across various programming language ecosystems.
Offers a unified control plane for 28 static site generators spanning 19 diverse programming languages.
Manages authentication with secure credential management, multi-protocol support, and threat detection.
Empower users to manage and create StreamSets data pipelines comprehensively through conversational AI, integrating seamlessly with StreamSets Control Hub APIs.
Empower AI assistants to manage Docker containers, images, networks, volumes, and registries using natural language interactions.
Manage Docker containers through an HTTP API or MCP server, enabling seamless integration with AI agents for isolated code execution.
Enables interaction with a Python interpreter and file system within a Docker container environment.
Automates Lens Desktop with screenshot capture and console log monitoring.
Scroll for more results...