"Building a Real-Time Automated DNS and AI Load Balancing System with AWS Integration" matching MCP servers:

A small AWS MCP for AI assistants: one server, one config entry, SSO re-auth baked in, generic CRUD over hundreds of resource types, live docs lookup, server-side scripting for batched workflows.

Pre-trade risk validation and position sizing for AI trading agents via G-formula and Iron Fist.

MCP server that enumerates DNS records, detects SPF/DMARC/DKIM misconfigurations, and identifies dangling subdomains.

A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.

Connects compatible AI clients to registered Windows or macOS computers, allowing users to inspect systems, work with files, run supported commands, and automate workflows through authorized remote access.

Enables automated evaluation of e-commerce advertising content against compliance policies, detecting prohibited claims and trademarks through an MCP-compatible interface.

Enables automated GDPR/CCPA data subject access request compliance by exporting data subject profiles through OneTrust. Provides deterministic, zero-dependency MCP integration for AI agents and enterprise pipelines.

Provides versioned, structured memory for AI agents, allowing them to store facts, detect conflicts, and track knowledge history via a hosted SaaS platform. It enables efficient hierarchical information retrieval and semantic search while keeping token usage constant as memory scales.

Enables German real-estate appraisal calculations, including property depreciation and purchase-price allocation, through MCP tools backed by AfaMax APIs.

Checks and fixes a domain's email authentication (SPF, DKIM, DMARC), DNS health, propagation, blacklists and domain/SSL expiry, returning copy-paste fix records from a validating engine, never a model guess. Local stdio server (npx -y @dnsdoctor/mcp) with the same 27 tools as the hosted https://dnsdoctor.dev/mcp.

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

MCP server that exposes AWS Health API as tools for checking service health, events, and scheduled maintenance at account or organization level.

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

Enables autonomous financial agents to pool corporate treasury cash, rebalance liquidity, and optimize yield sweeps while enforcing double-entry ledger integrity, HMAC-SHA256 signature verification, and fraud-detection safety buffers that prevent overdrafts. Runs on pure Python standard library and plugs into MCP clients such as Claude Desktop, Cursor, and Windsurf.

A client-side MCP proxy that injects OAuth 2.0 bearer tokens or API keys into MCP requests, enabling MCP clients to connect to OAuth/API-key-protected MCP servers like Amazon Bedrock AgentCore Gateway. It automatically fetches and refreshes credentials using AgentCore Identity or static values.

Provides tools for discovering, building, deploying, and troubleshooting AWS Deep Learning Containers (DLC) images. Supports multiple frameworks and instance recommendations.

Automates the AWS Foundational Technical Review (FTR) partner self-assessment by evaluating SOC 2 and WAFR reports against defined controls, returning structured PASS/FAIL decisions with reasoning.

MCP server for Technical SEO DNS record auditing, SOA expiry health checks, SSL/TLS inspection, and HTTP security header analysis. Enables comprehensive security audits and scoring via 10 tools.

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

Enables automated adversarial safety probing and jailbreak fuzzing of AI systems through MCP, returning structured execution telemetry and output dossiers.

Read your Pyunto Time Management schedule and log time from an AI assistant. E2EE project planning.

Zero-Config, Fully AI-Managed End-to-End Testing for all code gen platforms.

MCP server for Winston AI's detection tools, enabling AI content detection, plagiarism checking, image analysis, and text comparison.

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.

A Model Context Protocol (MCP) server that exposes the EasyDeploy public REST API as tools for Claude, Cursor, Claude Code, and other MCP clients.

Interact with WebScraping.AI API for web data extraction and scraping

Forecast time series in CSV files: deterministic skforecast workflows and the script that ran.

Open-source MCP server for Google Ads (Meta Ads coming soon) that lets AI assistants manage ad campaigns, reporting, keywords, and targeting in plain English from any MCP client, with safety-first creation of paused campaigns.

An AI Concierge replaces static forms with adaptive AI conversations that understand real situations, structure key information automatically, and trigger the right next step. Rigid forms cause drop-off, weaken qualification, and strip away context. Perspective uses adaptive AI to capture structured data and trigger automation, so you understand what truly matters to your customers and can make d

MCP server that provides browser automation capabilities through a Chrome extension, enabling terminal-based agents to interact with any website via a live browser session with optimized context.