"Assistance with Cyber Security Investigations" matching MCP connectors:
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Build personal interactive apps with real URLs and persistent storage, using any AI.
AI infrastructure design agent. Describe your app in plain English; Riley designs, prices, and deploys AWS or GCP infrastructure with generated Terraform.
Video generation cost estimates across providers, with provenance, freshness, and confidence.
Unlock the power of DNS lookups with our DNS Lookup service using Google DNS-over-HTTPS. Whether
Publish the website you built with AI to a live public URL — straight from chat, no setup.
Free browser-based calculators and analyzers for cloud cost, DevOps, security, and data governance.
TitanStore provides AI agents with programmatic access to compute credits, API keys, cloud storage, and GPU capacity. Search products, manage cart, and complete purchases in a single agentic workflow. No authentication required.
Read-only Mac mini AI operator setup offer with queue, pricing, and buyer-route tools.
An MCP server that let you interact with Cycloid.io Internal Development Portal and Platform
EU-native PaaS for AI agents — deploy web apps with one sentence, managed Postgres, GDPR by default.
MCP server: solver auction across io.net / Akash / Render with signed receipts · Hive Civilization
Debug, build, and manage Power Automate cloud flows with AI agents
Interact with your Google Cloud Datastream resources using natural language commands.
Interact with your Google Bigtable resources using natural language commands.
AWS cloud security scanners for AI agents — S3, IAM, EC2, EKS, RDS, CloudTrail, CloudWatch Logs
Interact with your Google Cloud Firestore resources using natural language commands.
MCP Gateway: wrap any MCP server with cold-start retries, uptime SLA, and per-execution MPP billing.
The Telnyx MCP server is an official implementation of the Model Context Protocol that enables AI clients (like Claude Desktop, Cursor, and OpenAI Agents) to interact with Telnyx's telephony, messaging, and AI assistant APIs. It provides comprehensive capabilities including making and managing phone calls, sending SMS/MMS messages, purchasing and configuring phone numbers, creating AI assistants with custom instructions, managing cloud storage buckets, scraping and embedding website content, and handling integration secrets. The server exists as both a local implementation and a remotely hosted version, allowing developers to integrate real-world communication infrastructure directly into AI applications.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
The Google Compute Engine MCP server is a fully-managed Model Context Protocol server that provides tools to manage Google Compute Engine resources through AI agents. It enables capabilities including instance management (creating, starting, stopping, resetting, listing), disk management, handling instance templates and group managers, viewing machine and accelerator types, managing images, and accessing reservation and commitment information. The server operates as a zero-deployment, enterprise-grade endpoint at https://compute.googleapis.com/mcp with built-in IAM-based security.