> ## Documentation Index
> Fetch the complete documentation index at: https://tyk.io/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Tyk MCPs

> A comprehensive guide to Model Context Protocol (MCP) servers in Tyk and how they extend AI capabilities.

## MCP capabilities

[Model Context Protocol (MCP)](https://modelcontextprotocol.io/introduction) servers help AI systems securely interact with external services and tools. They establish structured, governed connections that integrate seamlessly with your Tyk environment.

## What are MCPs?

Model Context Protocol (MCP) servers extend AI systems by exposing external services, tools, and resources in a standardised way. They act as bridges between AI applications and external systems, securely managing authentication, access, and execution.

With Tyk MCPs, your AI agents can:

* Access external data sources and APIs
* Execute specialised tools and functions
* Interact with system resources
* Retrieve contextual information

MCPs use a defined protocol to connect AI agents with external systems, expanding AI capabilities while maintaining governance and control.

## Why standardisation matters

The MCP specification standardises how AI agents discover and interact with external capabilities. This helps:

* **Simplify integration** across diverse systems
* **Enhance security** through consistent architecture
* **Promote interoperability** with different vendor solutions
* **Improve governance** when managing AI systems at scale

## MCP for Enterprise use

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Tyk extends the MCP model for enterprise deployments with the following capabilities:

* **Remote MCP catalogues and server support** – Expose internal APIs and tools to AI assistants securely without requiring local installations.
* **Secure local MCP server deployment** – Deploy MCP servers within controlled environments, integrated with Tyk AI Gateway for monitoring and governance.
* **Standardised protocols** – Maintain interoperability standards for seamless integration into existing workflows.

These features enable enterprises to scale AI integrations securely while ensuring compliance and operational control.

## Ready-to-use MCP options

Tyk offers several ready-to-use MCP integrations:

* **[API to MCP](/5.9/ai-management/mcps/api-to-mcp)** – Convert existing APIs (via OpenAPI/Swagger specs) into MCP-accessible tools.
* **[Dashboard API to MCP](/5.9/ai-management/mcps/dashboard-api-to-mcp)** – Expose the Tyk Dashboard API for management and monitoring.
* **[Tyk Docs MCP](/5.9/ai-management/mcps/tyk-docs-mcp)** – Provide AI access to searchable Tyk documentation.

For more information on implementing MCPs, [contact the Tyk team](https://tyk.io/contact/) do discuss your specific use cases.