"Terraform Cloud - Managing Cost and Performance" matching MCP servers:

The Terraform MCP Server is a Model Context Protocol (MCP) server that integrates seamlessly with Terraform Registry and HCP Terraform APIs, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.

Performance AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

A comprehensive, AI-powered performance analysis and monitoring platform for OpenShift/Kubernetes clusters. This project provides Model Context Protocol (MCP) servers for analyzing etcd, network, and OVN-Kubernetes components with deep performance insights, automated root cause analysis, and actionable recommendations.

Enables reading, converting, and managing email messages, calendars, and contacts, along with mail account folder/thread operations and personal name parsing/formatting, via typed MCP tools.

Enables AI agents to process Excel workbooks through Aspose.Cells Cloud, including converting, creating, merging, splitting, replacing text, and reading workbook properties and worksheets, with bundled storage operations for a complete upload-process-download workflow.

Enables AI agents to process Word documents through Aspose.Words Cloud, supporting conversion, creation, comparison, text replacement, and retrieval of properties, statistics, and bookmarks, plus bundled storage file operations for a full upload-process-download workflow.

Enables AI agents to create, convert, split, inspect, and edit PowerPoint and ODP presentations through typed MCP tools, including bundled cloud storage upload/download operations for a complete workflow.

Plan AWS disaster recovery budgets conversationally, comparing backup/restore, pilot light, warm standby, and active/active strategies using live Cost Explorer data.

Enables generating 3D models, slicing them with Polar Cloud defaults, and queuing prints from MCP clients.

Enables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.

Inspect and manage IONOS CLOUD infrastructure via MCP

Automates Microsoft Excel spreadsheet creation and editing via MCP tools for any MCP-compatible client.

Enables analyzing AWS cloud spending and Bedrock usage through natural language queries using Claude.

Provides AI agents and teams with self-hosted adaptive memory, combining hybrid search and a self-improving neural memory graph to enable precise recall and serendipitous discovery across MCP-compatible clients.

MCP server for Aspose PDF Cloud, enabling PDF storage, conversion, and extraction operations (merge, split, text/table/image extraction) via CLI and MCP.

The agent-native cloud: provision Postgres-compatible databases, deploy services and functions in isolated microVMs, manage storage, auth and AI inference, and read logs and billing — 50 tools behind one API key. Hosted remote server; this repository carries the connection docs.

A hosted Model Context Protocol server that connects AI agents to a project-scoped growth workspace, exposing tools for project knowledge, analytics, research, planning, media generation, drama intelligence, and skill sync.

Enables PDF conversion to DOC, merging multiple PDFs, reading document properties, and bundled storage file operations for complete upload-process-download workflows through MCP.

An MCP server providing discovery of x402 paid services, MCP servers, and A2A agents, with safety scanning capabilities.

Enables async-first working practices by providing tools to draft decision docs, convert meetings to async artifacts, score status updates, and triage sync vs async tasks. It also offers reference tools for the Open and Async book's principles and coaching prompts.