"Five9: Cloud Contact Center Software" matching MCP servers:

This MCP server enables agents to administer a self-hosted AI control plane for users, organizations, subscriptions, API keys, model providers, and service health, with local-first model routing and cloud failover.

An MCP server that provides persistent, governed memory for Claude Code, enabling local storage and retrieval of decisions, architecture, and context across sessions with audit trails and hybrid semantic recall.

Open-source AWS security scanner with Attack Chains, Breach Cost Estimation, and MCP Server. 47 checks across 15 AWS services. Every finding includes copy-paste remediation (CLI + Terraform) and a dollar-risk estimate with verified source. First free standalone AWS security MCP server - Prowler and Wiz require paid SaaS.

Generates, validates, and manages Cloud Custodian policies across AWS, GCP, and Azure using natural language prompts.

Multi-cloud MCP server that exposes cloud AI models as tools for AI CLI agents, supporting streaming, conversation history, parallel multi-model queries, and dynamic model discovery.

Enables MCP-compatible AI clients to retrieve FinOps-aligned knowledge and runbooks on demand, covering cloud cost optimization across AWS, Azure, GCP, and OCI, AI inference economics, Kubernetes, data platforms, allocation, chargeback, anomaly management, and waste detection.

Enables AI assistants and MCP clients to launch and manage Cursor Cloud Agents on repositories or without one, select models, follow up mid-run, retrieve or cancel results, and check usage and cost.

Enables AI agents to query Lambda Cloud GPU pricing, live capacity, and instance details, and optionally launch, restart, or terminate instances with a hard hourly price cap.

Enables local MCP clients to control a remote single-GPU ComfyUI instance over SSH port forwarding, check backend readiness, submit MiniMax H3 audio-video generation jobs, monitor job status, and download completed MP4 outputs.

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 access to cloud spot, on-demand, reserved, GPU rental, LLM token, and capacity pricing data with daily index fixings, using free tools and paid per-call payments over x402 or prepaid keys.

Exposes multiple LLM providers (AWS Bedrock, OpenAI, Google Gemini, local Ollama) as MCP tools with automatic routing by task type and Prometheus metrics, enabling any MCP-compatible client to generate text, route prompts, and list providers.

An MCP server deployed on Cloud Run that enables reading Cloud Storage and leveraging Vertex AI models via natural language.

Enables AI assistants to interact with IBM ODM Decision Center for managing business rules, decision tables, ruleflows, and project generation.

MCP bridge for Distill — let Claude, Cursor, or any MCP client rename files based on AI content analysis. 9 tools for renaming, suggestions (preview), folder watching, history, and rule management. Five AI providers: Claude, OpenAI GPT-4o, Gemini, Ollama (local), Apple Intelligence. Bridge open-source (MIT), Distill app is commercial (pay-per-use, no subscription).

Enables AI-powered interaction with Salesforce, providing opportunity intelligence, engagement analysis, business case generation, and standard CRUD operations through natural language.

Enables AI assistants to provision and manage cloud infrastructure and AI/ML workloads—such as GPUs, nodes, storage, networking, databases, Kubernetes, and training/inference resources—through natural language. It also provides a universal REST tool for authenticated access to the underlying cloud API.

Enables Claude to analyze sentiment, extract entities, classify content, and analyze syntax via Google Cloud Natural Language API.

A remote, OAuth-protected server that lets MCP clients list workspaces, inspect concise review findings and hosted run summaries, and prepare or, after explicit confirmation, start and rerun existing hosted reviews without exposing raw diffs or full reports.

Enables authenticated MCP clients to browse their Juror workspaces, inspect workspace-scoped review findings, and summarize open P0/P1 issues. It can also prepare and, after explicit user confirmation, start or rerun an existing hosted Juror Cloud review, without exposing raw diffs, reports, or credentials.

Enables an OAuth-signed-in user to list their workspaces and inspect concise, workspace-scoped review findings and hosted run summaries. It can also prepare a pull request review and start or rerun an existing hosted review once the user explicitly confirms.

Enables AI agents to respond to users with live, persistent, interactive web apps served at a single URL that evolve in place as the conversation continues. It exposes UI generation and evolution tools over MCP so agent responses can include clickable buttons and streaming interfaces alongside chat replies.

Enables inspecting workspace-scoped review findings and hosted runs, and preparing or, after explicit confirmation, starting or rerunning existing hosted reviews without accessing arbitrary local repositories or exposing raw artifacts.

Enables MCP-compatible clients to sign in, inspect workspace-scoped findings and hosted runs, and prepare or start/rerun existing hosted reviews after explicit user confirmation.

Lets MCP-compatible clients authenticate through OAuth, list workspaces, inspect concise review findings and hosted runs, and prepare or, after explicit user confirmation, start or rerun an existing hosted review without exposing raw diffs, full reports, artifacts, screenshots, credentials, or prompt text.

Enables users to list workspaces, inspect concise review summaries and findings, and prepare or, after explicit confirmation, start or rerun an existing hosted review. It does not expose raw diffs, full reports, artifacts, screenshots, credentials, or prompt text.

Enables users to inspect workspace-scoped findings and hosted runs, list workspaces, and prepare or, after explicit confirmation, start or rerun existing hosted reviews without exposing raw diffs, full reports, artifacts, screenshots, credentials, or prompt text.

Atlas Cloud MCP Server enables developers to access state-of-the-art AI models for image generation, video generation, and LLMs through a unified MCP interface. Fast, scalable, and cost-efficient alternative to traditional AI providers.

Enables MCP-compatible agents to access KaiRouter's video generation API, providing tools to list available video models, generate videos (text-to-video or image-to-video) asynchronously, check job status, and list recent jobs.