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
- Create – Upload an OpenAPI spec, import from GitHub, or start from a template to generate an MCP server.
- Test – Use the Playground to validate tools, arguments, and responses with your preferred model.
- Deploy – One-click to Contexa Cloud; scale and observe usage.
- 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