MCP Integrationsfor AI Applications

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.

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.

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.

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.