Cloud Infrastructure MCP Servers
Discover our curated collection of MCP servers for cloud infrastructure. Browse 1157servers and find the perfect MCPs for your needs.
K8s Connector
Enables interaction with Kubernetes clusters through Model Control Protocol (MCP) tools.
BigQuery
Enables Large Language Models to securely query and analyze BigQuery datasets through a standardized Model Context Protocol interface.
AWS Cost Explorer
Enables analysis and visualization of AWS cloud spending data using Anthropic's Claude model as an interactive interface.
AWS
Enables operations on AWS resources, including S3 and DynamoDB, through the Model Context Protocol.
K8s
Provides a standardized interface to interact with and manage Kubernetes clusters.
Confluent
Enables AI assistants to interact with Confluent Cloud REST APIs for managing Kafka topics, connectors, and Flink SQL statements.
BigQuery
Enables Large Language Models to inspect BigQuery database schemas and execute queries.
Terraform Registry
Enables AI agents to interact with the Terraform Registry API for provider, resource, and module information.
Demo Mcp On Amazon Bedrock
Demonstrates how to enhance ChatBot applications using Amazon Bedrock with the Model Context Protocol (MCP) to enable seamless integration with external systems and data sources.
Remote Functions
Deploys a custom remote server to the cloud using Azure Functions for use with the Model Context Protocol.
MCP2Lambda
Enables Large Language Models to execute AWS Lambda functions as tools via Anthropic's Model Control Protocol (MCP) without code modifications.
Remote Functions
Deploys a custom remote Model Context Protocol (MCP) server to the cloud using Azure Functions with Python.
NetBox
Enables interaction with NetBox data via Large Language Models (LLMs) using the Model Context Protocol (MCP).
AKS
Enables AI assistants to interact with and manage Azure Kubernetes Service (AKS) clusters.
Memory
Enables MCP clients to remember information about users across conversations, leveraging vector search for relevant memory retrieval.
Self-Hosted Supabase
Enables database introspection, management, and interaction with self-hosted Supabase instances from development environments using the Model Context Protocol.
Agentic AI Demos
Provides example implementations for building agentic AI solutions with AWS, utilizing the Model Context Protocol.
Create Server
Dynamically creates and manages Model Context Protocol (MCP) servers as child processes, enabling a flexible MCP ecosystem.
SAP OData for BTP
Transforms SAP S/4HANA and ECC OData services into dynamic conversational AI interfaces by exposing them as MCP tools.
Railway
Manages Railway account resources and automates workflows through a local Model Context Protocol server.
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