Deployment & DevOps MCP Servers
Discover our curated collection of MCP servers for deployment & devops. Browse 1227servers and find the perfect MCPs for your needs.
Kubernetes Connector
Enables management of Kubernetes clusters through an MCP Server interface.
Github
Integrates with GitHub's API through the Model Context Protocol (MCP).
Ose
Deploys an unauthenticated Model Context Protocol (MCP) server to Cloudflare Workers for remote tool execution.
ChaosPilot
Automatically analyzes error, warning, and critical logs using AI agents to detect patterns, classify incidents, and recommend fixes.
Easegress
Implements a Model Context Protocol server to facilitate operations and management of Easegress gateways.
Quack
Automates code analysis and testing for Python projects by performing linting and static type analysis within a continuous integration environment.
Real-Time Bidding
Facilitates real-time bidding functionalities via an auto-generated Multi-Agent Conversation Protocol (MCP) server.
Remote D2W
Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers with OAuth login.
Project Hub
Manages local software projects, tracks changes, and synchronizes with GitHub repositories.
Npm Project
Builds and runs Node.js projects.
Omcp
Deploys an MCP server, similar to Ollama.
Weather
Provides real-time weather alerts and forecasts via the National Weather Service API as a Model Context Protocol server.
Privsim
Categorizes and provides tools for a variety of software development and management purposes.
Mnemosyne
Models software project elements into a real-time, queryable knowledge graph to provide context, insights, and guardrails for developers and AI agents.
System Info
Retrieves real-time hardware and system details for monitoring and diagnostics.
Server Status
Monitors server status by retrieving CPU, memory, and uptime information for local or remote servers.
SOAP
Facilitates access to methods and types exposed by SOAP WSDLs.
Vercel API
Enables Cursor Agents to interact with the Vercel API.
OpenXAI
Provides comprehensive tools for evaluating and benchmarking post hoc explanation methods in AI models through a standard interface.
Env Manager
Manages MCP server environments, configurations, and local package installations.
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