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FREE EBOOK

A practical guide to MCP Governance

Securing AI agents in the enterprise. Learn how to end shadow MCP, prevent unauthorized agent actions, and build the foundation for production-grade agentic AI.

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mcp-policy.yml
# Tyk MCP Gateway — per-tool rate limiting
 
policy:
rate_limit:
per_tool: true
consumer: ${jwt.sub}
limits:
search_files: 100/min
write_file: 10/min
exec_shell: 2/min
 
discovery:
filter: entitlements_only
 
✓ Deployed to Tyk Dashboard
of enterprise API calls now come from AI agents, not human developers
~ 0 %

Most of those agents are talking to MCP servers that nobody on the security team has reviewed. Multiply that pattern across dozens of teams and you don’t have a governed AI platform — you have a sprawling web of unmanaged connections to your most sensitive data.

WATCH FIRST

Building an AI Control Layer with
Tyk MCP Gateway

90% of MCP traffic is ungoverned — and it’s costing enterprises. In this on-demand session, Tyk’s MCP Gateway team shows why traditional API controls fall short for AI agents, and how tool-level rate limiting, per-consumer access control, and unified governance across REST, GraphQL, and MCP can change that.

  • Why API-level rate limiting fails for agentic workloads
  • Tool-level rate limiting and per-consumer role-based access control in practice
  • Unified governance across REST, GraphQL, and MCP in a single platform
  • Live demo: Tyk MCP Gateway in action

Chris Challis, Laurentiu Ghiur & Sedky Haider
Growth PM · Technical Lead · Field CTO

“The organizations getting agentic AI right aren’t the ones moving fastest. They’re the ones that decided early what their agents should and shouldn’t be allowed to do, and built the controls to prove it.”

— Tyk Governance Team

INSIDE THE GUIDE

9 chapters. Zero fluff.

Built for CIOs, CTOs, enterprise architects, and engineering leaders making decisions this quarter about how AI agents will safely interact with the business.

01

Executive summary

02

What is MCP, and why does it change the governance equation?

03

The agentic AI risk landscape

04

Beyond risk reduction: The strategic case for MCP governance

05

Why a traditional API gateway isn’t enough

06

What good looks like: Patterns from early adopters

07

The layered adoption roadmap: Where to start and how to build

08

Getting started: Practical recommendations

09

Conclusion
WHAT YOU’LL WALK AWAY WITH

An MCP governance program lets you:

End shadow MCP

Eliminate the sprawling web of unreviewed AI-to-system connections before they become incidents.

Prevent unauthorized actions

Block agents from taking actions on production systems they were never meant to touch.

Demonstrate compliance

Meet AI and data protection obligations with audit trails and enforceable policy controls.

Build for production scale

Create the infrastructure that lets agentic AI develop faster, more safely, and at greater scale.

FREE DOWNLOAD

Get the guide.
Start governing.

Like any infrastructure decision, MCP governance isn’t all-or-nothing. The first two layers alone — discovery and a central control point — eliminate the most acute risks in your environment. Everything beyond that is incremental improvement on a foundation that’s already paying back

Start for free

Start for free

Get a demo

Get a demo

Prefer to get started right away?

Choose the path that suits your team: dive into a free trial of Tyk Cloud, or talk to a Sales Engineer for a walkthrough of how Tyk enables scalable, secure API governance across distributed teams and systems.