Cloud Infrastructure MCP 服务器
发现我们为 cloud infrastructure 精心策划的 MCP 服务器集合。浏览 908 个服务器,找到满足您需求的完美 MCP。
Upstash
Enables natural language control of Upstash resources through the Model Context Protocol.
Containerd Manager
Manages containerd CRI interfaces using the Rust Model Context Protocol (RMCP) library.
Coolify
Enables AI assistants to interact with Coolify instances through natural language.
Adx
Enables AI assistants to query and analyze Azure Data Explorer databases through standardized interfaces.
Supabase
Enables programmatic management of Supabase projects and organizations through a standardized interface.
ROADrecon
Provides AI assistants like Claude with access to ROADRecon Azure AD data for security analysis.
Supabase
Enables seamless integration between MCP clients and Supabase services such as databases, storage, and edge functions.
Snowflake Integration
Enables Claude to execute SQL queries and interact with Snowflake databases.
Metoro
Enables interaction with Kubernetes clusters via the Claude Desktop App by exposing Metoro APIs to LLMs.
Tailscale
Automates Tailscale network management and monitoring through a standardized Model Context Protocol interface.
Scaled
Implements a horizontally scalable Message Context Protocol (MCP) server for AI applications.
Databricks
Enables interaction with Databricks clusters, jobs, and notebooks via the Model Completion Protocol.
Databricks Connector
Connects LLMs to Databricks, enabling natural language interaction with SQL warehouses and job management.
DigitalOcean Integration
Manages DigitalOcean resources and performs actions using the DigitalOcean API.
LocaLLama
Dynamically routes coding tasks between local LLMs, free APIs, and paid APIs to optimize costs.
Netbird
Provides contextual information about a Netbird network to applications supporting the Model Context Protocol (MCP).
Remote Functions
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol (MCP).
RabbitMQ
Enables Model Context Protocol (MCP) clients to interact with RabbitMQ queues and topics.
Nomad Go
Connects to Nomad to provide a Model Context Protocol (MCP) server.
Databricks
Enables LLMs to interact with Databricks clusters, jobs, notebooks, and more via the Model Completion Protocol (MCP).
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