"Construction cost estimate information" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
MCP facade over the Nebelus Construction API. ~48 tools give full agent build parity: create/update/probe agents, edit graphs, attach knowledge and vector stores, wire connectors, set governance policies and locked guardrails, enable grounding-trace, and read deployment wiring. Purpose-built for regulated industries: data residency is enforced per region (EU / GCC-KSA), with PII controls and an audit trail. Agents are created as drafts — no deploy tool is exposed over MCP by design; publishing happens in the Nebelus console.
AgentBroker is a remote MCP server for discovering and inspecting a canonical catalog of API and agent services. It exposes structured service metadata, input/output schemas, provider information, and current pricing through MCP tools such as search_services and get_service.
AI agent infrastructure: dedup, cost prediction, validation, governance, failure intelligence.
Agent cost, latency and quality analysis, report delivery and order status. Crypto payments paused.
Pay-per-call ($0.01 USDC) model-routing for AI coding agents: which LLM to call, cost vs. quality.
Plan agent workload routes from evaluation and cost data. $1 USDC per plan; modeled savings only.
Read-only MCP tools for AI agent discovery, structured resources, and NIULAI information.
Google Web Search: Google Web Search API. Search the world’s information, including webpages.
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.
See, price, and control every tool call your AI agents make: policy checks, cost, and audit tools.
Agent personas for Claude. 16 tools, 13 personas, 3 workflows. Zero extra API cost. Free.
Budget & cost control for AI agents — per-agent spend caps + rate limits before each call.
Compare, estimate, and deploy cloud infrastructure across AWS, GCP, and Azure for AI agents.
