Kong Context Management for AI Agents
Blog post from Kong
Kong has announced the general availability of Context Management within Kong AI Management to help enterprises give AI agents efficient access to APIs, MCP servers, and data sources without overloading model context windows. The offering addresses the drawbacks of exposing every operation in large enterprise APIs as separate MCP tools, which can increase token costs, latency, and tool-selection difficulty while reducing reasoning quality. Its Code Mode uses a compact “search, understand the schema, execute” interface, allowing agents to discover relevant API operations and retrieve schemas only when needed rather than processing hundreds of tool definitions at once. Code Mode also lets agents compose multi-step API workflows with programming logic, potentially reducing repeated model-to-tool interactions. Building on Kong Context Mesh and AI Gateway, Context Management aims to centralize how organizations curate, control, and expose enterprise capabilities so agents can access relevant information and actions efficiently as MCP adoption expands.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.