Discover our curated collection of MCP servers for deployment & devops. Browse 2219servers and find the perfect MCPs for your needs.
Provides a TypeScript template for developing remote Model Context Protocol (MCP) servers.
Manages Kubernetes clusters through a natural language interface, leveraging an AI agent for real-time operations and conversational control.
Translates natural language commands into kubectl operations for simplified Kubernetes cluster management with AI assistance.
Provides secure, auditable remote access to a system shell for executing commands and streaming output.
Enables Large Language Models to execute shell commands securely and with comprehensive logging.
Provides a complete DevOps platform for managing version control, issue tracking, and CI/CD pipelines via the GitLab API.
Integrates with the Sentry API to track errors, monitor performance, manage releases, and debug application issues.
Provides a secure and sandboxed gateway for AI agents to introspect and perform actions on local UNIX and GNU/Linux systems.
Exposes financial market data endpoints for LLMs and other clients, enabling fetching of OHLCV, option chains, Greeks, and corporate events, and facilitating training dataset assembly.
Facilitates seamless, production-ready blockchain interactions with BNB Chain via the Model Context Protocol.
Automates real-time enforcement of TBC Bank development standards with integrated compliance checking and AI-powered code generation.
Provides an agentic interface for diagnosing Kubernetes cluster issues using natural language queries.
Integrates Jira and GitLab to enable AI agents to manage issues and branches across both platforms.
Deploys an unauthenticated Model Context Protocol server on Cloudflare Workers for remote AI tool execution.
Provides a production-grade TypeScript template for building Model Context Protocol (MCP) servers with robust features and edge runtime support.
Integrates a Digital Service Provider (DSP) booking flow as a Proof of Concept with an MCP server.
Provides a self-hosted server for integrating with the Europarcel API, supporting both stdio and HTTP transport modes.
Provides a self-hosted execution environment enabling large language models to interact with code, files, and dependencies.
Manage Kubernetes clusters and resources by connecting to the Model Context Protocol (MCP) server.
Enables AI assistants to manage tasks through a standardized interface using the Model Context Protocol (MCP).
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