Compatible with every major AI agent and IDE
What is the Tyk MCP Server?
Connect your Tyk instance to any AI agent to streamline your API management and gateway operations through conversation.
What you can do
- Key Management — Create, retrieve, update, and delete API keys (Session Objects) directly in the Tyk Gateway.
- Security Policies — Define and manage security policies to control access rights and rate limits across your API ecosystem.
- API Definitions — List all active API definitions from your Dashboard and create new ones using the Tyk Classic format.
- Gateway Control — Trigger hot reloads to force the Gateway to refresh its configuration and apply changes instantly.
- Granular Inspection — Fetch detailed metadata for specific keys and policies to audit access and performance metrics.
How it works
- Subscribe to this server
- Provide your Tyk URL and Gateway Secret (or Dashboard Token)
- Start managing your API infrastructure from Claude, Cursor, or any MCP client
Who is this for?
- DevOps Engineers — Automate gateway reloads and policy updates without leaving the terminal or chat interface.
- Backend Developers — Quickly generate API keys and check definition statuses during the development lifecycle.
- Security Teams — Audit existing policies and keys to ensure compliance with organizational access standards.
Built-in capabilities (12)
Requires TYK_DASHBOARD_TOKEN. Create a new API definition
Requires TYK_GATEWAY_SECRET. Create a new API key (Session Object)
Requires TYK_ADMIN_SECRET. Create an organization key
Requires TYK_GATEWAY_SECRET. Create a new security policy
Requires TYK_GATEWAY_SECRET. Delete an API key
Requires TYK_GATEWAY_SECRET. Delete a policy
Requires TYK_GATEWAY_SECRET. Get details for a specific API key
Requires TYK_GATEWAY_SECRET. Get details of a single policy
Requires TYK_GATEWAY_SECRET. Force Gateway hot reload
Requires TYK_DASHBOARD_TOKEN. List all API definitions
Requires TYK_GATEWAY_SECRET. Update an existing API key
Requires TYK_GATEWAY_SECRET. Update an existing policy
Why Vercel AI SDK?
The Vercel AI SDK gives every Tyk tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
- —
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
- —
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Tyk integration everywhere
- —
Built-in streaming UI primitives let you display Tyk tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Tyk in Vercel AI SDK
Tyk and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Tyk to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Tyk in Vercel AI SDK
The Tyk MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Tyk for Vercel AI SDK
Every tool call from Vercel AI SDK to the Tyk MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I apply changes to my Tyk Gateway after updating a policy?
You can use the hot_reload tool. This forces the Tyk Gateway to reload its configuration and API definitions, ensuring all updates are live without a full restart.
Can I list all my existing API definitions from the Dashboard?
Yes! Use the list_apis tool. It returns a paginated list of all API definitions. You can also filter by name using the optional search string.
Is it possible to retrieve the details of a specific API key?
Absolutely. Use the get_key tool with the specific Key ID. The agent will return the session object, including access rights and rate limit configurations.
How does the Vercel AI SDK connect to MCP servers?
Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
Can I use MCP tools in Edge Functions?
Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
Does it support streaming tool results?
Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.
createMCPClient is not a function
Install: npm install @ai-sdk/mcp
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