Deployment & DevOps MCP Servers
Discover our curated collection of MCP servers for deployment & devops. Browse 1225servers and find the perfect MCPs for your needs.
Remote PostgreSQL Database
Enables conversational interaction with a PostgreSQL database, deployable as a remote MCP server with GitHub OAuth through Cloudflare.
K8s
Securely executes Kubernetes commands from AI assistants like Claude by acting as a Model Context Protocol (MCP) server.
AWS Automation
Enables AI assistants to execute AWS CLI commands in a secure, containerized environment using the Model Context Protocol (MCP).
Goku
Simulates HTTP traffic to benchmark and analyze web service performance.
1Panel
Enables interaction with the 1Panel platform via the Model Context Protocol (MCP).
Proxmox Manager
Manage Proxmox hypervisors through a Model Context Protocol server, providing a clean interface for nodes, VMs, and containers.
Spotinfo
Explore AWS EC2 Spot instance types, savings, prices, and interruption frequencies for optimal cloud resource selection.
GCP
Enables AI assistants to interact with and manage Google Cloud Platform resources using natural language.
AWS
Enables operations on AWS resources, including S3 and DynamoDB, through the Model Context Protocol.
Test Client
Facilitates the development and testing of MCP servers by acting as both a server for Claude and a client for servers under test.
Kom
Simplifies Kubernetes operations by providing an SDK-level abstraction of kubectl and client-go, offering easy resource management and MCP server capabilities.
Terraform Registry
Enables AI agents to interact with the Terraform Registry API for provider, resource, and module information.
Shell Command Executor
Executes whitelisted shell commands remotely with standard input support.
OpenAPI
Generates MCP tool definitions directly from OpenAPI specifications, enabling AI agents to access APIs described by standard specifications.
Cli
Provides fine-grained control over Model Context Protocol (MCP) clients, servers, and tools.
K8s Connector
Enables interaction with Kubernetes clusters through Model Control Protocol (MCP) tools.
Dynatrace
Enables interaction with the Dynatrace observability platform directly within development workflows.
AgentRPC
Connect functions across different languages and network boundaries to AI agents.
MCP2Lambda
Enables Large Language Models to execute AWS Lambda functions as tools via Anthropic's Model Control Protocol (MCP) without code modifications.
JFrog
Enables interaction with JFrog Platform APIs for repository management, build tracking, and more.
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