Kong Konnect MCP Server

Overview

Kong Konnect MCP bridges the gap between AI assistants and the rich ecosystem of Kong’s API management platform. By exposing a set of declarative tools, it lets an assistant like Claude query analytics data, inspect gateway configurations, and manipulate control planes—all through natural‑language prompts. This eliminates the need for developers to manually run commands or navigate Kong’s web UI, enabling rapid troubleshooting, performance monitoring, and policy enforcement within a single conversational workflow.

The server solves the common pain point of “context switching” that developers face when they need to understand why an API is underperforming or why a consumer request failed. Instead of opening multiple tabs, they can ask the assistant to pull traffic statistics or list active services, and receive structured JSON responses that are ready for further analysis or automated actions. This real‑time insight is especially valuable in production environments where latency and uptime are critical.

Key capabilities include:

• Analytics Retrieval: Query request logs with fine‑grained filters—time ranges, HTTP status codes, methods, consumer IDs, and service or route identifiers. The assistant can also isolate successful or failed requests for a specific consumer.
• Configuration Exploration: Enumerate services, routes, consumers, and plugins tied to a control plane. Pagination support allows handling large deployments without overwhelming the assistant.
• Control Plane Management: List, create, and modify control planes and their groups, giving developers a programmatic handle on the underlying infrastructure that hosts their APIs.
• Natural‑Language Integration: All tools are described in plain language prompts, enabling the assistant to translate user intent into precise API calls without exposing raw endpoints.

Typical use cases span from performance diagnostics—asking “What’s the error rate for Service X in the last 24 hours?”—to policy enforcement such as “Show me all routes that use the JWT plugin.” In continuous‑integration pipelines, a developer can trigger the MCP to verify that new services are correctly registered before merging code. For security audits, the assistant can enumerate all consumers and their associated plugins to ensure compliance with internal policies.

By integrating directly into AI workflows, Kong Konnect MCP empowers developers to treat API management as a first‑class citizen in their conversational tooling. The server’s modular design means that new analytics or configuration endpoints can be added incrementally, keeping pace with Kong’s evolving feature set while maintaining a consistent experience for AI assistants.