QVeris

AI agent infrastructure for MCP, Skills, and real-world tool and data source search and execution

QVeris is an AI agent infrastructure for developers, designed for MCP and Skills-based agents. It provides a unified API to discover, access, and execute 10,000+ real-world tools, APIs, and data sources—enabling LLMs and AI agents to reason, retrieve data, and take real-world actions at scale.
Keywords
AI Agents; AI Agent Infrastructure; MCP; Model Context Protocol; Skills; AI Skills; Tools API; Data Sources; LLM Tools; Agent Data Integration; AI Action Layer; Developer Platform
Core Features AI agent infrastructure compatible with MCP and Skills-based architectures. Unified API for tools, data sources, and external services Discover, retrieve, and execute 10,000+ real-world tools and APIs Standardized skill, tool, and data source execution layer Permission control, usage tracking, and cost management Built for scalable, production-ready AI automation Use Cases. Building MCP-compatible AI agents with access to real-world data and tools Enabling LLMs to retrieve external data and execute actions via Skills AI-driven workflows combining data ingestion, reasoning, and execution Rapid development of agent products without managing multiple APIs or data sources Enterprise AI agents with centralized tool and data governance. AI导航网站-CN