Discover our curated collection of MCP servers for deployment & devops. Browse 3556 servers and find the perfect MCPs for your needs.
Provides real-time Brave Search results via Server-Sent Events (SSE).
Enhances Claude AI's capabilities by providing persistent memory storage for Infrastructure-as-Code (IaC) components, focusing on version tracking and relationship mapping for Terraform and Ansible resources.
Facilitates interaction with the Google Traffic Director API using a Multi-Agent Conversation Protocol server.
Builds networks of intelligent agents that securely discover, share, and adapt their capabilities at scale.
Provides an auto-generated Multi-Agent Conversation Protocol (MCP) server for the Google Custom Search API.
Simplifies Terraform on AWS development by providing a Dockerized Model Context Protocol (MCP) server with integrated best practices, infrastructure as code patterns, and security compliance.
Facilitates secure SSH connections, remote command execution, and file management across servers using the Model Context Protocol.
Monitor and manage container security, offering remote container administration, security log analysis, and real-time event surveillance.
Enables natural language interaction with NetBox data via large language models.
Integrates Doppler CLI for seamless secrets management with Model Context Protocol (MCP) clients.
Integrates a local RAG system, MCP server, and visual service management into any development project with a one-command setup.
Provides a high-performance Model Context Protocol (MCP) server equipping AI agents with deterministic solvers for a wide range of operations research problems.
Integrate Openprovider's domain registrar API to manage domains, DNS, SSL, contacts, and billing directly via AI assistants like Claude Code.
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.
Parse, validate, deep merge, convert, and compare configuration files across JSON, YAML, TOML, and INI formats.
Enables AI agents to programmatically manage and control Home Assistant instances, including dashboards, automations, files, apps, and entities.
Inspect .bgeo.sc geometry caches and USD scene files for attributes, geometry types, and metadata without requiring a Houdini installation or loading full geometry into memory.
Integrates the APVISO AI-powered penetration testing platform into MCP-compatible development environments for automated security assessments.
Automates the analysis and transformation required for migrating Nuxt 2/3 applications to Nuxt 3/4.
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