TL;DR: MCP gateways are emerging as the control plane for AI agent interactions with tools, APIs, and enterprise systems, according to TruFoundry’s review of the 10 best options in 2026. The core issue is not only routing, but enforcing authentication, observability, rate limits, and governance before agent-to-tool access becomes unmanageable.
NHIMG editorial — based on content published by TruFoundry: 10 Best MCP Gateways in 2026
By the numbers:
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems, inappropriately sharing sensitive data, and revealing access credentials.
Questions worth separating out
Q: How should security teams govern managed MCP access for AI clients?
A: Security teams should treat managed MCP as a federated resource server and issue identity-bound tokens for each delegated task.
Q: What breaks when AI agents connect directly to tools without a gateway?
A: Direct connections create fragmented secrets, inconsistent policies, and limited visibility into what the agent actually did.
Q: Why do NHIs complicate zero trust and least privilege efforts?
A: NHIs complicate zero trust because they are numerous, persistent, and often tightly integrated into applications and pipelines.
Practitioner guidance
- Define the gateway as the policy choke point Place authentication, authorisation, rate limiting, and audit logging in the gateway rather than in individual MCP servers or downstream tools.
- Inventory every agent-to-tool credential path Document which agents can reach which tools, what secrets they use, where those secrets are stored, and who owns revocation.
- Require session-level telemetry for agent actions Capture tool name, request identity, policy decision, and result for every call so investigations can reconstruct behaviour after the fact.
What's in the full article
TruFoundry's full blog post covers the operational detail this post intentionally leaves for the source:
- Side-by-side feature breakdowns for the 10 gateways, including latency, concurrency, memory usage, and management overhead.
- Per-product implementation notes on authentication, access control, observability, and deployment models for each gateway.
- Pros and cons for enterprise deployment decisions, including where governance-heavy platforms differ from lightweight integration options.
- Workflow and connector specifics that matter once a team moves from evaluation to implementation.
👉 Read TruFoundry’s full comparison of the 10 best MCP gateways in 2026 →
MCP gateways and AI agent access control: are your controls keeping up?
Explore further
MCP gateway governance is now an identity problem, not just an infrastructure problem. The article makes clear that gateways are increasingly used to centralise authentication, authorisation, observability, and policy enforcement for agent-to-tool access. That places them squarely inside NHI governance because every tool call is still an identity event, even when the caller is an AI system. Practitioners should treat gateway design as a control decision for machine and agent identities, not as a convenience layer.
A few things that frame the scale:
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems, inappropriately sharing sensitive data, and revealing access credentials, according to AI Agents: The New Attack Surface report.
- Only 52% of companies can track and audit the data their AI agents access, leaving 48% with a complete blind spot for compliance and breach investigation.
A question worth separating out:
Q: How can organisations tell whether MCP access is actually being governed?
A: A governed MCP deployment can answer who requested access, what scope was granted, when the token expires, and which tool calls were made under that token. If logs only show a shared credential or generic server activity, the organisation does not have effective identity governance for the protocol.
👉 Read our full editorial: MCP gateways are becoming the control plane for AI agent access