Discover our curated collection of MCP servers for deployment & devops. Browse 3296 servers and find the perfect MCPs for your needs.
Provides an MCP server for OpenShift must-gather operations.
Builds networks of intelligent agents that securely discover, share, and adapt their capabilities at scale.
Provides a standardized interface for AI models to access a variety of jokes, including Chuck Norris and Dad jokes.
Reranks documents based on relevance to a given query using the ZeroEntropy Zerank API.
Provides a quickstart template for building and deploying secure, custom remote servers to the cloud using Azure Functions.
Provides an auto-generated Multi-Agent Conversation Protocol (MCP) server for the Google Custom Search API.
Integrates comprehensive Azure AI services with enterprise-grade reliability, observability, and chaos engineering for mission-critical applications.
Transforms a Zuora OpenAPI specification into a Model Context Protocol (MCP) server for streamlined API interaction.
Integrates Hotels.com search and booking capabilities into a secure, type-safe API via Cloudflare Workers for Claude Desktop.
Deploy a remote Model Context Protocol server without authentication on Cloudflare Workers.
Queries Kubernetes to retrieve GPU node information and cluster topologies for Azure HPC/AI clusters.
Provides a Model Context Protocol (MCP) server implementation to facilitate interactions between AI agents.
Optimizes Jenkins interactions for AI coding assistants, providing token-aware formatting, smart log handling, and automated failure triage.
Aggregates, secures, and orchestrates multiple Model Context Protocol (MCP) servers, acting as a central API gateway for LLM applications.
Provides a high-performance Model Context Protocol (MCP) server equipping AI agents with deterministic solvers for a wide range of operations research problems.
Manages SSH-based remote sandboxes, providing multi-server orchestration, persistent sessions, background task execution, and resource monitoring.
Connects Claude to SAP Cloud Platform Integration (CPI) to enable AI-driven management and monitoring of integration processes.
Provides a DataOps-focused interface for ClickHouse, offering query optimization, pipeline latency analysis, and data quality monitoring capabilities.
Aggregates, routes, caches, monitors, and controls access to multiple upstream MCP servers through a single endpoint.
Integrate comprehensive Git version control capabilities directly into any Model Context Protocol (MCP) compatible AI client.
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