Tool discovery for AI agents In early agent implementations, tools are often statically configured inside the agent. For example: { "mcpServers": { "weatherServer": { "command": "uv", "args": "run", "weather_server.py" ] }, "githubServer": {…
The Shifting Economic Landscape: The AI token economy in 2026 is evolving, and enterprise leaders must distinguish between low-cost input tokens and high-premium output tokens to maintain profitability. Agentic AI Financial Risks: The transition to agentic AI and multi-step reasoning models creates…
Claude Code is Anthropic's agentic coding and agent harness tool. Unlike traditional code-completion assistants that suggest the next line in an editor, Claude Code operates as an autonomous agent that reads entire codebases, edits files across multiple directories, runs terminal commands, executes…
Many companies start with a single payment provider like Stripe because it’s fast and reliable for self-service subscriptions. However, as OpenAI discovered, as your business needs to support a range of freemium accounts, self-service pro plans, and complex enterprise contracts, a…
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In today's digital landscape, APIs are the backbone of modern applications, and AI is the engine of innovation. As organizations increasingly rely on microservices and AI-powered features, the API gateway has become the critical control point for managing traffic. But as LLM/GenAI and MCP requests…
The goal of Integration Platform as a Service (iPaaS) is to simplify how companies connect their applications and data. The promise for the first wave of iPaaS platforms like Mulesoft and Boomi was straightforward: a central platform where APIs, systems, and workflows could be managed together…
MCP servers expose all tools by default. There are two problems with this: security (agents get capabilities they shouldn't have) and performance (too many tools degrade LLM tool selection). The solution? Put a gateway between agents and MCP servers that filters tools based on who's asking. Default…
The Gartner report profiles Kong’s Insomnia as “an API development platform that promotes collaboration during development and testing,” a recognition that reflects our commitment to give development teams of any size a purpose-built environment for every stage of the API lifecycle. Beyond the…
SiliconANGLE Media runs this annual awards program to recognize companies, technologies, and people moving the needle in B2B tech. Winners go through a review process by industry analysts and experts. Kong was recognized as the 2026 AI Innovator of the Year for its role in building the connectivity…
In large organizations, platform architecture tends to be more historical artifact than intentional design. At the foundation of the stack sit monoliths that predate modern API standards; many of them are too risky or too costly to decommission fully. Built on top of them are services that were…
Your dashboards scream 99.9% uptime. Latency stays well under 200ms. Error rates dwell at zero. These operational metrics look perfectly all right. Yet customer complaints continue to hit all-time highs. Your AI assistant prescribes incorrect medical dosages. Your cloud bill tripled overnight.…
Gartner's strategic planning assumption: by 2029, 50% of software application providers will be forced to share their context layer externally for third-party orchestrators to stay relevant. Today, that number is less than 2%. This isn't a gradual evolution. It's a structural shift in where value…
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Gartner's strategic planning assumption stops you in your tracks: by 2029, 50% of software application providers will be forced to share their context layer externally for third-party orchestrators to stay relevant, versus less than 2% today. Let that number sink in. Nearly every enterprise…
Agents are ultimately decision makers. They make those decisions by combining intelligence with context, ultimately meaning they are only ever as useful as the context they can access. An agent that can't check inventory levels, look up customer history, or verify pricing isn't autonomous — it's…
The Kong MCP Registry acts as a central directory for AI agents and clients to access services that provide context or take action. For AI agents, think of it as a combination of a "Service Catalog" and a "Developer Portal." It offers the metadata, API endpoints, and capability definitions that…
The example below shows how an AI agent can be built using Volcano SDK with minimal code, while still interacting with backend services in a controlled way. The agent is created by first configuring an LLM, then defining an MCP (Model Context Protocol) endpoint that represents a promotions service.…
Secure your AI infrastructure with prompt guards, PII sanitization, and centralized governance. Control LLM costs with token-based rate limiting and semantic routing across providers.
