Cloud Infrastructure MCP Servers

Steampipe

15

Connect AI assistants to cloud infrastructure data for natural language exploration and analysis.

New Relic

14

Queries New Relic logs using NRQL, enabling LLMs like Claude to interact with your New Relic data.

EMQX

14

Enables interaction with EMQX MQTT brokers through the Model Context Protocol (MCP).

Azure

13

Enables Claude to interact with and manage Azure services through natural language.

Qiniu

13

Provides an S3-compatible interface for accessing and managing Qiniu Cloud Kodo storage.

Grpc

13

Proxies to a gRPC backend using a descriptors file or server reflection.

Terminal

13

Enables AI models to control your PC or server via SSH or terminal.

Okta

12

Enables Claude to interact with Okta for user and group management.

Aws Resources

12

Enables querying of AWS resources using boto3 code snippets via a Model Context Protocol (MCP) server.

Alibaba Cloud Observability

12

Provides tools for accessing and interacting with Alibaba Cloud's observability products like SLS and ARMS.

OpenAI Agent

11

Builds an AI Agent using OpenAI models with any Model Context Protocol (MCP) server running on Azure Container Apps.

Vercel API

11

Connects a Cursor Agent or Windsurf to the Vercel API.

Nuxt Vercel

11

Deploys a Model Context Protocol (MCP) server on Vercel using Nuxt.js.

Coolify

11

Enables AI assistants to interact with Coolify instances through natural language.

Storacha

Enables AI applications to interact with decentralized storage through a standardized interface.

StreamNative

Bridges Apache Kafka and Apache Pulsar protocols to enable AI agents to interact with streaming data.

Self-Hosted Supabase

Enables database introspection, management, and interaction with self-hosted Supabase instances from development environments using the Model Context Protocol.

Cos

Enables large language models to quickly access Tencent Cloud Storage (COS) and Data Processing (CI) capabilities without coding via the MCP protocol.

K8s Pilot

Manage multiple Kubernetes clusters from a centralized control plane.

DevOps Servers

Enables Large Language Models to interact with DevOps systems, providing a standardized way to automate and control infrastructure, deployment pipelines, monitoring, and other DevOps operations.