Discover our curated collection of MCP servers for deployment & devops. Browse 1964servers and find the perfect MCPs for your needs.
Connects AI agents and large language models with diverse scientific computing resources and datasets via a standardized protocol.
Streamlines local AWS cloud development and testing by managing LocalStack containers and related tasks through a Model Context Protocol server.
Enables AI assistants to control Loxone home automation systems through natural language commands.
Interacts with gRPC services using the grpcurl command-line tool via Model Context Protocol.
Automates the deployment and management of n8n workflow automation instances on Kubernetes.
Manages Claude App servers and services by facilitating searching, installation, and uninstallation.
Simplifies the creation, inspection, validation, and integration of HTTP clients from OpenAPI specifications.
Enables AI assistants to interact with Salesforce organizations by providing tools for Apex execution, data querying, metadata management, and code analysis via the Salesforce CLI.
Integrates with KubeSphere APIs to enable resource retrieval.
Enables secure remote execution of Rails console commands over SSH for data wrangling and analysis.
Simplifies Kubernetes management through conversational AI, enabling real-time diagnostics and resource monitoring.
Manages stateful, secure, and scalable conversation contexts for AI applications, overcoming Large Language Model memory limitations by storing individual user dialogue histories.
Manage multiple Kubernetes clusters from a centralized control plane.
Enables real-time communication using Server-Sent Events (SSE) based on the Model Context Protocol (MCP).
Enables AI agents to automate and manage Azure DevOps operations, including boards, repositories, pipelines, artifacts, test plans, and wikis.
Manages feature flags and configurations within ConfigCat through its public management API.
Provides a lightweight foundation for building and deploying intelligent systems that manage and expose AI/LLM capabilities.
Implement B2B feature flagging with a built-in feedback loop using these JavaScript and TypeScript SDKs.
Manages MongoDB Atlas projects, clusters, users, and network access through the Model Context Protocol (MCP).
Provides a Python wrapper for ServiceNow APIs, enabling programmatic interaction and serving as an MCP Server for agentic AI.
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