Discover our curated collection of MCP servers for deployment & devops. Browse 2219servers and find the perfect MCPs for your needs.
Establishes a centralized server for integrating n8n workflows with Claude Desktop applications.
Deploys an unauthenticated remote AI Model Context Protocol server on Cloudflare Workers for custom tool integration.
Provides a foundational server implementation for the Anthropic Model Context Protocol, enabling debate search and citation functionalities.
Integrates OXII smart home devices and controls into the Model Context Protocol (MCP) for programmatic access.
Integrate Jenkins CI/CD workflows and management directly into AI assistants via the Model Context Protocol.
Simplifies Kubernetes management with natural language commands and AI-powered insights for seamless integration with AWS Bedrock.
Aggregates multiple MCP servers (stdio and HTTP) into a single HTTP endpoint.
Provides a production-ready server for Pokémon Model Context Protocol (MCP) tools, featuring secure deployment, authentication, and comprehensive monitoring.
Automates the creation and management of posts for an Astro blog deployed on Vercel via a REST API.
Streamlines the management and monitoring of diverse homelab infrastructure components, including containers, AI models, DNS, and networks, with integrated security and automation.
Facilitates AI model interaction with the Terraform IBM Modules ecosystem, enabling intelligent discovery and utilization of IBM Cloud infrastructure resources.
Exposes the VaultMesh-Architect skill as explicit, auditable tools, supporting subsystem spawning, multi-chain anchoring, governance entries, and capability issuance.
Provides a minimal server template for deploying Model Context Protocol (MCP) applications with streamable HTTP transport.
Fetch and analyze Jenkins build logs, supporting multiple instances and automatic detection from job URLs.
Provides a foundational Model Context Protocol server for demonstrating custom tools, resources, and prompts.
Monitors and logs running processes, making their output and status accessible to AI agents through the Model Context Protocol.
Unifies multiple backend MCP servers into a single interface, simplifying client interaction and routing requests transparently.
Manages PostgreSQL clusters via the CloudNativePG operator within Kubernetes environments.
Establishes a WebSocket endpoint for streamlined server-side operations, facilitating message echoing and secure, parameterized database queries.
Integrate Azure DevOps with AI assistants like VS Code/GitHub Copilot to manage work items directly from your chat interface.
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