Notifications
Clear all
Topic starter
20/08/2026 5:53 pm
TL;DR: IBM ContextForge is positioned as a flexible open-source MCP gateway, but the article argues that many teams outgrow it when they need unified AI and MCP governance, enterprise identity controls, and managed deployment, according to TruFoundry. The real issue is not gateway choice alone, but whether access, auditability, and operating model can keep pace with AI agent sprawl.
NHIMG editorial — based on content published by TruFoundry: IBM ContextForge alternatives in 2026
By the numbers:
- 96% of technology professionals identify AI agents as a growing security threat, and 66% believe this risk is immediate.
- 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 design MCP server access for AI agents?
A: Security teams should design MCP access around a small set of agent goals, not a mirrored list of REST endpoints.
Q: Why do separate model and tool control planes create risk?
A: Separate control planes create policy drift, duplicated logging, and inconsistent revocation because the model path and the tool path are governed differently.
Q: When is self-hosted MCP infrastructure a bad fit?
A: Self-hosted MCP infrastructure becomes a poor fit when the organisation lacks spare platform engineering capacity for patching, scaling, monitoring, and support.
Practitioner guidance
- Map MCP gateways into your identity control plane Classify every gateway, proxy, and agent tool endpoint as part of the access path, then require authentication, authorisation, and audit logging before production use.
- Unify model routing and tool governance Avoid separate policy stacks for LLM traffic and MCP traffic when the same agents use both, because split enforcement creates inconsistent revocation and review workflows.
- Assess your self-hosting burden honestly If your team cannot sustain patching, scaling, and support for another stateful gateway, choose a managed operating model rather than assuming free software lowers total risk.
What's in the full article
TruFoundry's full article covers the operational detail this post intentionally leaves for the source:
- Side-by-side capability tables for each ContextForge alternative, including deployment, authentication, observability, and compliance
- Pricing and packaging detail for the managed platforms, including which tiers support self-hosted MCP servers
- Practical buying guidance on when to choose a gateway, when to choose an AI security platform, and when to stay open source
- Vendor-specific notes on enterprise support, compliance posture, and operating tradeoffs
👉 Read TruFoundry's comparison of IBM ContextForge alternatives for MCP governance →
IBM ContextForge alternatives: are your MCP controls keeping up?
Explore further
20/08/2026 6:32 pm
ContextForge alternatives are really a proxy for the MCP governance maturity gap. The article shows that teams do not leave an MCP gateway because it lacks transport features alone; they leave because transport, identity, logging, and deployment control are no longer separable in production. Once AI agents are operational, a proxy-only model forces security teams to stitch governance together after the fact. The practitioner conclusion is that MCP tooling must be judged as part of the identity control plane, not as an isolated integration 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: What should organisations do about shadow AI in MCP environments?
A: Organisations should discover unmanaged agents before expanding gateway policy. If an agent is not registered, no amount of RBAC at the gateway will fully govern it. Discovery, registration, and enforcement need to be part of the same operating process so hidden access paths do not bypass the control plane.
👉 Read our full editorial: IBM ContextForge alternatives expose the MCP governance gap
