Infrastructure MCP Servers

Orchestrate Agora real-time engagement. Manage channels, monitor usage, and handle cloud recording directly from any AI agent.

Orchestrate DJI drones and payloads. Manage flight logs, monitor device health, and handle firmware updates directly from any AI agent.

Manage NetEase Cloud Gaming sessions. Orchestrate server instances, monitor user quotas, and scaling capacity directly from any AI agent.

Orchestrate Qiniu Cloud storage. Manage buckets, handle file uploads, and monitor CDN performance directly from any AI agent.

Orchestrate SenseCore AI services. Manage models, trigger chat completions, and handle compute resources directly from any AI agent.

Orchestrate Tencent START Cloud Gaming (GS). Manage server sessions, monitor workers, and scale capacity directly from any AI agent.

Orchestrate Telekom Malaysia (TM) services. Manage broadband plans, service orders, and network usage directly from any AI agent.

Forces AI agents to reflect on task execution, matching prompt requirements to actual changes, verifying logs, and declaring gaps before claiming completion.

Accessibility Prover is a pre-build validation system that forces WCAG 2.2 AA compliance before code is written. It audits semantic HTML, keyboard navigation, contrast ratios (4.5:1 minimum), screen reader compatibility, and motion safety across 5 structured Decision Pivots. Unlike runtime scanners, it catches div soup, missing focus traps, and inaccessible animations during the design phase. Before they reach production and before they violate the European Accessibility Act (EAA 2025).

An AI agent designed an API with GET /users/create. That single endpoint broke HTTP caching for 200 consumer services. No versioning. No error contract. Raw arrays on one route, wrapped objects on another. This tool forces semantic HTTP verbs, explicit versioning strategy, unified response envelopes, bounded pagination, and RFC 7807 error structures. Before any code is written.

A data team asked an AI to build an ETL pipeline. No schema contract. No idempotency. No freshness SLA. The pipeline ran for 3 months. Silently inserting 2.4 million duplicate records and serving stale data to dashboards nobody questioned. This tool forces schema validation at boundaries, idempotent writes, freshness alerting, and end-to-end lineage tracing.

An AI estimated a database migration at 2 weeks. It took 11 weeks, cost $340K in delayed revenue, and left 3 engineers stuck in feature freeze. The estimate had no scope decomposition, no unknowns identified, no historical precedent, and no buffer. This tool forces granular scope breakdown, explicit unknown quantification, precedent mapping, and realistic buffer calculation before any timeline is committed.

An AI agent committed a Stripe API key to git, built SQL queries with string concatenation, and deployed an admin endpoint with no authentication. All in 4 minutes. The key was scraped from GitHub within 90 seconds. This tool forces input sanitization validation, secret management auditing, authentication enforcement, injection prevention, and dependency supply chain checks against OWASP Top 10.

Block engineering waste. This gatekeeper demands hard data, behavioral segments, and proven willingness-to-pay before a single line of code is written.

A warehouse system hit 3x its tested throughput on a Tuesday morning. Sorting stations jammed in 12 minutes. 4 hours of standstill. $180K in delayed shipments. The operations manual said 'should handle expected growth.' Nobody tested what 'expected' meant. Or when it stopped being true. Brunel specified Box Tunnel's gradient to exactly 1 in 100. Every brick course counted. This tool forces that rigor: analyze what breaks at 10x/100x, map integration interfaces, specify exact tolerances, quantify risks with probability and blast radius, and challenge precedent at your scale.

An operations plan said 'we will scale' without modeling arrival rates. It claims 'economies of scale' without a single cost data point. It writes SLAs that say 'best effort.' That is not operations. That is hope. This tool forces five COO-level operational axes: capacity modeling, failure isolation, cost leverage, process discipline, and accountability mechanisms.

An AI generated Kubernetes manifests for a payment service. No resource requests or limits. No PodSecurityStandards. Single replica, no PDB. Zero NetworkPolicies. Every pod could reach every other pod. The payment pod got OOM-killed at 3 AM by a logging sidecar with no memory ceiling. This tool forces resource governance, security hardening, reliability design, observability instrumentation, and network restriction on every workload.