> ## Documentation Index > Fetch the complete documentation index at: https://docs.contexaai.com/llms.txt > Use this file to discover all available pages before exploring further. # Welcome to ContexaAI > The Firebase for MCP servers. Build, test, deploy and monetize your servers! ContexaAI is the **“Firebase for MCP servers”**—a full-stack developer platform to **build, test, debug, deploy, and manage** Model Context Protocol (MCP) servers. Use it to standardize how your agents connect to tools and data so you ship faster, with less glue code. Directoryimage Contexa Sv ## What is ContexaAI? A universal context layer for AI: browse a directory of **thousands** of MCP-powered tools (from Gmail to GitHub), convert your own APIs to MCP, and deploy production-ready servers with observability and scale—**no DevOps required**. > **Why MCP?** It’s an open standard for connecting AI to tools and data—often described as the “USB-C of AI apps”—and it’s now supported across major platforms. ## What you can do here * **Use thousands of tools out of the box.** Discover and deploy MCP context providers from the Directory. * **Convert your APIs to MCP.** Point Contexa at an OpenAPI spec to generate tools and package them as a server. * **Import from GitHub or start from templates.** Deploy a public repo as a server in a few clicks. * **Compose and bundle.** Create custom servers and **bundles** that group tools for specific use cases. * **One-click deploy & scale.** Push to Contexa Cloud and get logging, metrics, and versioning out of the box. * **Test in the built-in Playground.** Chat with your server and compare models. ## Why ContexaAI * **Lightning-fast integration.** Connect tools & APIs to **any agent framework** in minutes via MCP. * **Universal compatibility.** Works with MCP-capable clients (e.g., **OpenAI Responses/Agents**, **Microsoft Copilot Studio**, and **Gemini** tooling). * **Developer-first.** Clean workflows, templates, and docs designed by builders, for builders. ## How ContexaAI fits into your stack 1. **Create** – Upload an OpenAPI spec, import from GitHub, or start from a template to generate an MCP server. 2. **Test** – Use the **Playground** to validate tools, arguments, and responses with your preferred model. 3. **Deploy** – One-click to Contexa Cloud; scale and observe usage. 4. **Integrate** – Point your agent client at the server and go (OpenAI, Copilot Studio, Gemini CLI/SDK, etc.). ## Who is this for? * **Product & engineering teams** shipping AI features fast * **Platform teams** standardizing tool access org-wide * **Indie builders & agencies** who want less plumbing, more shipping