klavisKlavis AI (YC X25): Open Source MCP integration for AI applications

What is MCP?

When building AI applications/agents, Model Context Protocols(MCP) enables tools to be added dynamically at runtime in a standardized way, eliminating the need for preconfigured integrations during design-time. Without MCP, tool integration requires manual database design&updates and custom formatting for each model, leading to significant complexity.

Asked by Vincenzo Greco · Jun 11, 2026

What is Klavis AI?

Klavis AI is building open-source infrastructure designed to make MCP easy for everyone to use, build, and scale. We provide Slack/Discord(and more!) clients, hosted MCP servers, and simple web UI to lower the barrier to entry for MCPs.

Asked by Bianca Ferreira · May 5, 2026

Is Klavis AI secure?

Klavis AI includes security features as part of its solution. Specifically, we offer Secure Integration with built-in OAuth support. This is designed to enable secure access to user resources when required by an MCP.

Asked by Camille Laurent · Apr 18, 2026

How does the Klavis AI API work?

The Klavis AI API provides a standardized RESTful interface to interact with MCP servers. Developers can easily integrate MCP functionality into their applications by making simple API calls, abstracting away the complexity of individual MCP implementations.

Asked by Stella Papadopoulos · Apr 6, 2026

What kind of MCPs can I access through Klavis AI?

You can access popular MCPs as well as in-house MCPs developed by Klavis AI, such as tools for report generation, YouTube utilities, and document/markdown conversion. You can configure these via the web UI.

Asked by Henrik Dahl · Mar 9, 2026