Deployment & DevOps Servidores MCP
Descubre nuestra colección curada de servidores MCP para deployment & devops. Explora 2597 servidores y encuentra los MCP perfectos para tus necesidades.
Vercel Integration
Integrates Vercel's REST API as tools within an MCP server, providing programmatic access to deployment management.
Ssh
Enables secure remote command execution and file operations via SSH protocol.
Vercel
Provides full administrative control over Vercel deployments through Cursor's Composer and Codeium's Cascade.
Podman
Facilitates Model Context Protocol (MCP) communication for container runtimes such as Podman and Docker.
Datadog
Enables interaction with the Datadog API using the Model Context Protocol for accessing monitoring data, dashboards, metrics, events, logs, and incidents.
Config
Simplifies the installation and configuration of servers for MCP clients through a command-line interface.
Yamcp
Organizes MCP servers in local workspaces and shares them through a single command.
AI Federation Network
Enables federated connections between AI systems and various data sources through a standardized architecture.
MCPShell
Safely executes command-line tools through the Model Context Protocol (MCP).
Yunxiao DevOps
Enables AI assistants to interact with the Alibaba Cloud Yunxiao DevOps platform.
MKP
Enables LLM-powered applications to interact with Kubernetes clusters by providing a Model Context Protocol server.
Tavily Load Balancer
Manages and load-balances multiple Tavily API keys to enhance availability and increase request throughput for Tavily services.
SSH Manager
Facilitates seamless management of multiple SSH connections, remote command execution, and file transfers directly from Claude Code.
QuantConnect
Enables AI agents to programmatically interact with the QuantConnect cloud platform for algorithmic trading tasks.
Server Template
Provides a minimal FastMCP server template optimized for Render deployment with streamable HTTP transport.
Perforce P4
Exposes safe, structured read/write tools for Perforce P4 version control system assets like changelists, files, and workspaces via the Model Context Protocol.
Skilder
Provides an infrastructure layer for AI agents to connect and manage tools across various environments.
Ruchy
Provides a modern, systems-oriented scripting language that transpiles to Rust, optimized for data science and scientific computing.
Skill Vision Control
Manages MCP skill versions, detecting updates, facilitating A/B testing, and intelligently merging custom changes with integrated security scanning.
Pare
Wraps popular developer tools with structured, token-efficient, schema-validated output for AI coding agents.
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