Cloud Infrastructure MCP Servers

Harvester

Enables AI assistants to interact with and manage Harvester HCI clusters via natural language.

Timeserver

Deploys a Model Context Protocol (MCP) server on Cloudflare Workers, enabling external AI agents and tools to securely access integrated functionalities.

Amazon Q Python Servers

Provides sample Python servers for extending AI assistant capabilities via the Model Context Protocol.

Tyler

Enables AI assistants like Claude to securely interact with Databricks workspaces by hosting Model Context Protocol (MCP) prompts and tools.

Servers

Provides a modular ecosystem of servers designed for AI-driven extensibility and open-source collaboration.

Datadog

Facilitates the integration of Monitoring Console Protocol (MCP) with Datadog.

Jenkins

Streamline DevOps processes by providing multi-server management, intelligent scenario mapping, and complete CI/CD lifecycle operations for Jenkins.

Openshift

Serves as an MCP server specifically tailored for OpenShift environments.

Edgee

Provides a Model Context Protocol server for the Edgee API, enabling comprehensive management of organizations, projects, components, and user administration.

Remote Authless

Deploys a remote Model Context Protocol (MCP) server on Cloudflare Workers without authentication.

Remote Context

Deploys an unauthenticated Model Context Protocol server on Cloudflare Workers for remote tool integration.

NetBox

Exposes NetBox API functionality to AI systems via a read-only FastMCP server with natural language query support.

Remote Authless

Deploys an unauthenticated Model Context Protocol (MCP) server on Cloudflare Workers for AI agent integration.

Remote Authless

Deploys an unauthenticated Model Context Protocol (MCP) server on Cloudflare Workers, enabling remote tool execution for AI clients.

Remote

Establishes a Model Context Protocol server on Cloudflare Workers, providing secure OAuth-enabled access for AI clients to custom tools.

Cloudflare Remote

Deploys a Model Context Protocol (MCP) server to Cloudflare Workers, providing a customizable backend for AI models.

Prometheus

Provides a Model Context Protocol (MCP) server for accessing and querying Amazon Managed Prometheus workspaces.

IBM Cloud Object Storage by CData

Connects IBM Cloud Object Storage data to AI clients like Claude Desktop, enabling natural language queries through CData JDBC Drivers.

Databricks

Enables large language models to interact with Databricks clusters, jobs, notebooks, and SQL functionalities through the Model Completion Protocol.

Copilot Studio AI Connector

Enables deployment and integration of Model Context Protocol servers with Microsoft Copilot Studio to provide context to large language models.