KrakenD MCP Server

Let AI agents trigger real workflows and decisions based on your existing data and services. For example:

A bank has APIs for account balances, transactions, and card management. With KrakenD MCP, they expose these APIs as AI skills so a virtual assistant can securely handle real customer requests like Freeze my lost card or Send me my last 3 statements.

All policies, rate limits, and authentication remain enforced by KrakenD. no new backend changes or deployments needed.

Apply the same policies, quotas, and security you already use in KrakenD.

An HR system connects its APIs for users, permissions, and tools through KrakenD MCP. When an AI assistant receives a command like Onboard a new engineer in Barcelona, it creates accounts, assigns permissions, and sends welcome messages, all through secure API actions.

A full onboarding process happens in seconds, not hours.

Ensure every action taken by an AI agent is authorized, validated, and traceable. For example:

A hospital connects its patient record and scheduling APIs through KrakenD MCP. When an AI assistant requests information like “show upcoming appointments for Dr. Lee’s patients”, KrakenD validates user roles, enforces privacy rules, and redacts sensitive data before forwarding the call.

Every AI interaction is authorized, compliant, and fully traceable, ensuring patient confidentiality and regulatory integrity.

Connect multiple AI providers and internal systems under a single governance layer, all managed declaratively through KrakenD. For example:

A telecom operator runs on-prem models for privacy and cloud-based models for scalability. Using KrakenD MCP, they unify both under a single control plane, enforcing the same policies whether requests go to internal inference clusters or public AI APIs.

This hybrid setup scales globally without policy drift or vendor lock-in.

Route and orchestrate API calls, prompts, completions, tool calls, and agent actions through a single gateway. KrakenD connects edge services, cloud LLMs, backend APIs, and private models under one consistent, secure layer.

Apply rate limits, policies, auth, and quotas uniformly to APIs, AI requests, and agent workflows. Ensure your entire stack follows the same standards your organization already trusts KrakenD for.

Dynamically select which API, LLM, or agent should handle each request based on user, payload, policy, cost, or latency. Optimize performance across mixed workloads.

Inspect, sanitize, and validate prompts, API inputs, and agent outputs before they reach sensitive systems. Stop prompt injections, enforce data policies, and keep agents from over-stepping boundaries.

Get full visibility into API traffic, AI latency, agent decisions, and model performance through KrakenD’s built-in analytics and logging stack. Monitor usage and outcomes across your entire ecosystem.

Manage API definitions, LLM routing rules, and agent orchestration as code. Version-controlled, reproducible, and deployable across environments.

Leverage KrakenD’s stateless, ultra-fast core to scale API calls, LLM workloads, and agent operations with no added overhead. One gateway for everything, built for extreme throughput.

Integrate with any API backend, AI provider, vector store, or agent framework using open standards. Keep your architecture portable and future-proof, independent of model or vendor changes.