MCP Konnect is a Model Context Protocol (MCP) server implementation that enables AI assistants and agents to interact with Kong Konnect, the API management and gateway platform from Kong. This server exposes Kong Konnect’s APIs through standardized MCP interfaces so that tools like conversational AI or agent systems can query analytics, inspect configuration, and manage Kong Gateway resources using natural language or programmable agents. By bridging MCP clients to Kong’s control plane, the project allows autonomous agents to retrieve data on traffic metrics, route definitions, services, plugins, and consumer settings without writing custom API integration code. It also groups tools into categories—such as analytics, configuration, and control plane management—to organize capabilities logically for AI workflows.
Features
- MCP server that interfaces with Kong Konnect APIs
- Enables AI assistants to query traffic and analytics
- Inspect and manage gateway configuration and resources
- Categorizes tools by analytics, configuration, and control plane
- Configurable via environment for flexible deployment
- Designed for use with MCP-aware AI clients