Deployment & DevOps MCP Servers
Discover our curated collection of MCP servers for deployment & devops. Browse 1579servers and find the perfect MCPs for your needs.
Trigger.dev
Facilitates building and deploying fully-managed AI agents and long-running workflows with built-in durability and observability.
Claude-Flow
Orchestrates intelligent multi-agent swarms and autonomous workflows to build advanced AI systems.
OpenMetadata
Unifies metadata for data discovery, observability, and governance through a central repository, in-depth column-level lineage, and seamless team collaboration.
Xiaozhi ESP32
Provides a backend service for ESP32 devices, enabling rapid deployment of custom intelligent control servers.
Higress
Provides an AI-native API gateway for cloud-native applications, extending Envoy and Istio with Wasm plugins.
AWS
Bring AWS best practices directly into development workflows with a suite of specialized Model Context Protocol (MCP) servers.
AI Companion App
Create and host AI companions with personalized personalities and conversational memory, accessible via browser or SMS.
Serge
Provides a self-hosted web interface and API for interacting with large language models via llama.cpp.
Pezzo
Provides an open-source, cloud-native LLMOps platform for designing, deploying, observing, and managing AI applications.
Container Use
Provides containerized development environments, enabling multiple coding agents to work safely and independently with diverse tech stacks.
Cloudflare
Manages Cloudflare resources using natural language commands via the Model Context Protocol (MCP).
Sourcebot
Index and search code across multiple repositories and branches from various code hosting platforms.
Dev Container CLI
Create and configure development containers from devcontainer.json files, providing isolated development environments.
Supergateway
Exposes MCP stdio-based servers over SSE or WebSockets, enabling remote access and integration.
Unla
Transforms existing API servers and services into Model Context Protocol (MCP) compliant endpoints with zero code changes.
Mcp Proxy
Facilitates communication between MCP clients and servers by bridging different transport protocols like stdio and SSE.
Grafana
Provides a Model Context Protocol (MCP) server for accessing and interacting with Grafana instances and their surrounding ecosystem.
UltraRAG
Accelerate the development and research of complex Retrieval-Augmented Generation (RAG) systems with a low-code, modular framework.
Installer
Install other MCP servers via Claude by specifying their npm or PyPi package names or local paths.
AutoPR
Automates AI-powered workflows directly within your codebase.
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