Tyk

Manage APIs across protocols and deployment environments while improving security, delivery, visibility, and control.

Secure, govern, and observe AI traffic while controlling costs and connecting applications to models and providers.

Centralize AI governance, model routing, cost controls, and access to agents, MCP tools, and RAG workloads.

Apply access controls, tool-level limits, and observability to MCP traffic alongside existing APIs.

Capabilities for API gateway, lifecycle governance, publication, cataloging and developer onboarding to expose, secure and govern APIs across environments.

Products: Tyk API management platform

Managed API gateways and model access layers that provide unified, secure, and cost-controlled access to multiple third-party AI models with live deployment and centralized management.

Products: Tyk AI Gateway, Tyk AI Studio

Runtime access governance for agent-to-tool interactions, including MCP server registration, identity-based authorization, argument-level policies, session routing, and guardrails.

Products: Tyk MCP Gateway, Tyk AI Studio, Tyk AI Gateway

Tyk API management platform

Tyk is a universal API management platform for designing, operating, governing, and publishing APIs across REST, GraphQL, gRPC, asynchronous APIs, and other protocols. It combines gateway capabilities, lifecycle management, security controls, automation, analytics, and a developer portal. The platform supports cloud, hybrid, multi-cloud, and self-managed deployments, including on-premises and air-gapped environments. Tyk Gateway provides API traffic management, and Tyk Streams adds event-driven API management within the Gateway. The platform also includes API analytics, developer access, configuration automation, and centralized management across regions. Tyk Cloud offers a managed deployment, while Tyk Hybrid and Tyk Self-managed support customer-controlled infrastructure.

• Manage APIs Across Protocols
  Use one platform to manage APIs built on different protocols, reducing the need for separate tools and approaches.
• Control And Protect API Traffic
  Apply access and traffic policies at the gateway to manage API usage and protect backend services from misuse and traffic spikes.
• Deploy Tyk Where You Need
  Match deployment to infrastructure, data residency, and compliance requirements, with managed cloud, hybrid, multi-cloud, and self-managed options.
• Secure APIs With Flexible Access Controls
  Control who can access services and data, define permissions, and extend security to fit organizational requirements.
• Manage The Full API Lifecycle
  Support API teams from design and testing through deployment and publication, including versioning and different API implementations.
• Automate API Workflows And Deployments
  Reduce manual deployment work, coordinate API configuration across environments, and support consistent releases through automated and declarative workflows.
• Enforce Consistent API Governance
  Apply and audit governance policies across APIs and teams to support compliance and coordinated work across regions.
• Observe API Usage And Performance
  Use API telemetry to investigate issues, understand usage patterns, monitor performance, and inform operational and business decisions.
• Scale APIs Across Regions
  Expand API infrastructure across regions and data centers, place gateways near users and workloads, and maintain traffic service during control-plane outages.
• Manage And Deliver Real-Time Events
  Expose and manage event streams alongside APIs, connecting brokers to applications and partners through supported protocols, policies, and delivery patterns.
• Manage Gateways Across Environments
  Centralize API management across regions and providers while placing gateways where infrastructure, data residency, and latency requirements dictate.
• Enable API Discovery And Access
  Give internal and external developers a self-service place to discover APIs, review documentation, and obtain access to API products.
• Create And Monetize API Products
  Offer APIs through subscription plans, manage consumer access and usage limits, and connect payment and analytics tools.
• Extend Tyk And Integrate Systems
  Adapt gateway behavior with plugins and middleware, and connect Tyk to existing infrastructure and tools using integrations and open standards.
• Transform And Compose API Data
  Compose API capabilities and expose REST data through GraphQL to support unified data access and API integration.

Tyk AI Gateway

Tyk AI Gateway is a centralized control plane for managing AI traffic across models, LLM providers, applications, and AI agents. It applies authentication, access policies, prompt guardrails, rate limits, token quotas, and routing, while providing request-level analytics, observability, and audit trails. Teams can connect commercial, open-source, and self-hosted models, route requests by cost, performance, availability, or policy, and fail over to alternative models. Deployment options include self-managed, hybrid, and cloud environments.

• Manage APIs And AI Together
  Apply consistent policies and simplify operations by managing APIs and AI endpoints through one control plane.
• Connect To Models Without Lock-In
  Give teams a consistent way to use commercial, open-source, and self-hosted models while retaining flexibility to change providers.
• Route Requests And Fail Over
  Direct requests according to operational or policy criteria and switch to another model when a service becomes unavailable.
• Control Access To AI Models
  Apply authentication and authorization at the gateway to govern who and what can access AI services.
• Apply Guardrails And Redact PII
  Enforce prompt and policy controls on AI interactions and remove PII from prompts or responses before sensitive data is sent onward.
• Control AI Usage And Spending
  Allocate token limits and enforce request rates across teams, applications, and models to manage AI consumption and spending.
• Trace AI Usage And Costs
  Gain visibility into requests, tokens, costs, and performance, and use request-level records to investigate activity and support compliance.
• Govern AI Agent Traffic
  Apply centralized controls to AI agent interactions alongside model and API traffic.
• Deploy Where Your Data Belongs
  Choose self-hosted, hybrid, or cloud deployment to align the gateway with infrastructure and compliance requirements.
• Cache Similar Prompts
  Reuse cached responses for similar prompts to reduce token consumption, improve response times, and lower demand on upstream models.

Tyk AI Studio

Tyk AI Studio is an open-source AI governance solution built on Tyk API Gateway. It provides a central control plane for routing, governing, and securing AI traffic across LLMs, agents, MCP tool chains, and RAG workloads. Capabilities include policy enforcement, model routing, data governance, cost attribution, and extensible plugins. The Community Edition is free and self-hosted; the Enterprise Edition adds advanced budget enforcement, fine-grained policies, enterprise identity controls, observability, private plugin marketplaces, and support.

Category: AI Governance Software

• Govern Every AI Interaction
  Apply consistent controls to AI requests and keep traceable records of prompts, responses, and tool calls. Redaction, content filtering, and scoped tool access support risk management and compliance.
• Route Requests By Policy
  Select models according to use case, budget, latency, or risk tier, and fail over automatically when needed.
• Track And Enforce AI Spend
  See token-level usage and costs attributed to teams, projects, and applications. Hard caps and quotas help prevent cost overruns.
• Control Agent And MCP Access
  Make existing APIs available as MCP tools and connect agents to remote or local MCP servers, with scoped policies for agent-initiated calls.
• Govern Data Used By AI
  Apply access controls to vector data sources by model and team, and trace how data is used in AI interactions.
• Extend The AI Control Plane
  Adapt the platform with custom processing, guardrails, caching, observability, policy integrations, and routing behavior.
• Control Access By Role
  Use enterprise SSO, RBAC, and fine-grained policies to manage access to AI services and tools across teams.
• Deploy AI Studio Yourself
  Self-host AI Studio to keep deployment under your organization's control.
• Provide Governed AI Access
  Offer teams a single, governed access point for AI services with self-service access and built-in guardrails.

Tyk MCP Gateway

Tyk MCP Gateway governs remote MCP servers alongside existing APIs. It proxies MCP traffic and applies authentication, per-consumer access policies, rate limits, traffic controls, and observability to JSON-RPC requests. MCP proxies are managed in the Tyk Dashboard using the same policies and keys as REST and GraphQL APIs. The gateway supports the MCP 2025-11-25 specification from Tyk Gateway v5.13 and can generate MCP proxies from Tyk-managed REST APIs. It can run in cloud, self-hosted, or hybrid environments.

• Govern MCP Requests
  Apply gateway policies to MCP requests rather than treating MCP traffic as an opaque HTTP stream.
• Restrict Agent Access
  Give each consumer access only to permitted MCP primitives and hide unauthorized tools, resources, and prompts from discovery responses.
• Centralize Credential Controls
  Verify credentials and manage key lifecycles at the gateway, without requiring upstream MCP servers to implement their own authentication.
• Control MCP Traffic
  Set distinct limits for MCP operations and configure traffic controls for requests and individual primitives.
• Trace MCP Activity
  See which agents call MCP primitives, how often calls succeed or fail, and where latency occurs.
• Manage Proxies Centrally
  Configure and catalogue MCP proxies through the existing Tyk management layer and manage configurations through Kubernetes and GitOps workflows.
• Validate Origins And Enable Discovery
  Help compliant clients discover authentication requirements and block requests from untrusted origins.
• Choose Your Deployment
  Run the gateway in an environment suited to organizational data and infrastructure requirements.