"Understanding Batch Processing in Computing or Operations" matching MCP servers:

Enables users to describe their LLM fine-tuning job once and get the cheapest, fastest, and most balanced GPU options across a dozen cloud providers in seconds.

A read-only MCP server that lets an AI assistant inspect a single AWS lab instance's EC2 health, recent system/nginx errors from CloudWatch, and nginx service status via SSM, with strict allowlisting and no generic shell access.

An MCP server for Amazon Q CLI that supports operations on Alibaba Cloud services including ECS, VPC, RDS, OSS, CloudMonitor, and OOS.

Provides a secure gateway to the Dynamics 365 F\&O OData API, enabling LLMs and MCP clients to query and manage entities such as customers, system users, and more.

An unofficial MCP server for Percona Everest that enables AI-powered interaction with database clusters, including listing, retrieving details, credentials, and components.

A cooperative guardrail for AI agents that blocks destructive shell commands, SQL statements, or cloud operations until a human approves them out-of-band, with a tamper-evident local ledger.

AI infrastructure design agent. Describe your app in plain English; Riley designs, prices, and deploys AWS or GCP infrastructure with generated Terraform.

Enables querying live AWS spot price arbitrage signals and suppression logs directly in Claude Code or any MCP-compatible AI tool.

Exposes Adobe's User Management API (UMAPI) as MCP tools for listing users, managing product profiles, and assigning or removing Acrobat/PDF licenses in Enterprise organizations.

A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.

MCP server for Azure Service Bus that enables sending messages, inspecting queues and subscriptions, and purging test data. Complements the built-in Azure MCP server by adding write operations.

MCP server that lets Claude (or any MCP-compatible client) compare on-demand compute + storage pricing across AWS, Azure, and GCP in real time.

Bridges a local AI agent to a Colab session in the browser, enabling code execution and file operations through the Model Context Protocol.

A PUT-only MCP server for MinIO that enables file, batch, and streaming uploads with automatic date/machine/file path organization and metadata generation for data archiving.

Jungle Grid MCP Server lets AI agents submit, estimate, monitor, and retrieve logs for GPU workloads through Jungle Grid. It enables agentic execution for inference, training, fine-tuning, and batch jobs without manually choosing GPU providers or infrastructure.

Enables AI assistants to inspect and manage OpenStack clouds, including listing instances, checking quotas, and retrieving console logs. It supports opt-in write operations for creating and deleting servers, with a read-only default.

Enables AI assistants to interact with and manage Kubernetes clusters, supporting operations on pods, deployments, services, configmaps, secrets, namespaces, metrics, and events with built-in safety features for destructive actions.

Enables AI assistants to interact with both local SQL Server and Azure SQL Database through natural language, supporting queries, data manipulation, and schema operations with built-in security features.

Manages Cloudflare KV namespaces and automates email processing from ProtonMail Bridge to structured KV storage with folder mapping.

Enables AI assistants to manage Google Cloud Dataproc clusters and jobs through a standardized interface. Supports cluster creation/deletion, job submission (Spark, PySpark, Hive, etc.), and serverless batch operations.