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18/08/2026 2:40 pm
TL;DR: As AI agents move into production, MCP gateways are becoming the control layer that decides how tools, data sources, and access policies are governed, according to TruFoundry. The search for alternatives is really about balancing governance, latency, deployment flexibility, and security without treating agent connectivity as a simple integration problem.
NHIMG editorial — based on content published by TruFoundry: 10 Best Mint MCP Alternatives for AI Agent Infrastructure 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: Why do MCP servers change the IAM model for AI access?
A: MCP servers matter because they become the practical boundary between AI intent and enterprise action.
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.
Practitioner guidance
- Map gateway controls to identity governance requirements Define which MCP gateway capabilities must be mandatory for production use, including audit logs, RBAC, OAuth identity injection, and tool schema validation.
- Separate prototype access from production access Use a low-friction path for experimentation, but require a different gateway policy set for production agents, including explicit approval for tool classes, data scopes, and environment boundaries.
- Review where tool credentials are stored and revoked Document whether credentials live in the gateway, the model layer, or the downstream tool, then test revocation paths end to end.
What's in the full article
TruFoundry's full blog covers the operational detail this post intentionally leaves for the source:
- Detailed feature-by-feature comparison of ten MCP gateway options for production AI agent infrastructure
- Implementation-specific notes on protocol support, including STDIO, Streamable HTTP, and SSE compatibility
- Deployment and operating model details for VPC, self-hosted, Kubernetes, and air-gapped environments
- Vendor-specific feature descriptions for governance, observability, and model routing that matter at implementation stage
👉 Read TruFoundry's comparison of the best Mint MCP alternatives for 2026 →
Mint MCP alternatives and the governance gap in AI agent gateways?
Explore further
18/08/2026 3:25 pm
MCP gateways are becoming identity enforcement points, not just integration layers. Once AI agents can reach tools directly, the gateway becomes the place where tool access is translated into identity decisions. That shifts the control problem from connectivity to governance, especially when agents span cloud, on-premises, and hybrid estates. Practitioners should evaluate gateways as part of the identity architecture, not the application stack.
A few things that frame the scale:
- 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, according to the AI Agents: The New Attack Surface report.
- 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.
A question worth separating out:
Q: How do teams decide between managed and self-hosted MCP gateways?
A: Choose based on where you need control over credentials, logs, residency, and revocation. Managed gateways reduce operational burden, but self-hosted or VPC-native options may be necessary when policy, jurisdiction, or containment requirements demand tighter ownership of the runtime.
👉 Read our full editorial: Mint MCP alternatives expose the governance gap in AI agent gateways
