Toolhouse is a platform for building, integrating, and deploying AI agents from simple prompts, with built-in support for web scraping, RAG, MCP, and production shipping.
Toolhouse is a platform for building, testing, and deploying AI agents from a simple natural-language prompt, with a direct path to production in a single click. It is designed to abstract away infrastructure, orchestration, and integrations so teams can focus on defining agent logic and behavior rather than managing complex backend systems. The primary purpose of Toolhouse is to make production-grade AI agents accessible to engineering and product teams without requiring extensive ML or DevOps expertise.
Under the hood, Toolhouse provides pre-integrated connectors for web scrapers, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and other common data and tool interfaces. It supports robust tool-calling, enabling agents to interact with APIs, internal systems, and external services in a controlled, observable way. Built-in monitoring, logging, and evaluation help teams understand agent performance and iterate safely. The platform is designed for reliability and scale, which is why it is used in production by organizations such as Cloudflare, NVIDIA, Groq, and Snowflake.
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