IBM ContextForge: An Acceptance and Coexistence Matrix

IBM ContextForge combines a registry with protocol federation for MCP and A2A, plus APIs. Its documentation describes discovery and protocol conversion, with authentication and plugins across those interfaces. It also describes observability. Test every surface separately. A registry decision and tool call carry different identities and risks. So do an agent message and LLM request.

I would not buy an MCP gateway from a feature checklist. The acceptance pack should prove which protocols are enabled and how identity survives conversion. It must also show where policy runs and which component owns the evidence for every route.

TL;DR

• Test ContextForge registry, federation, protocol conversion, authentication, plugins, and observability as separate control surfaces.
• Trace identity and authorization through each enabled protocol.
• Use coexistence controls when OpenAI- or Anthropic-compatible LLM traffic also passes through the deployment.
• DeepInspect does not govern MCP tools or STDIO. A2A and generic REST traffic outside its authenticated LLM route also remain outside its control.

ContextForge is a multi-protocol control point

The official ContextForge overview describes an open-source gateway and registry for MCP and A2A. It also covers REST APIs. The IBM repository provides the implementation and release history. It also provides the configuration and issue record.

Start with an interface inventory. Record each listener, transport, upstream, downstream, authentication method, tenant, plugin, and owner. Disable protocols that the deployment does not need. A black terminal with five active listeners already presents a larger boundary than a diagram labeled "MCP gateway."

Map each use case to one path. The caller may be a person or agent. It may also be a workload or gateway. Record the resource reached and credential type, then capture the authorization decision and transformation. Record the evidence location separately.

Test the registry as an approval system

The registry should show which servers and agents are approved. It should also show the approved APIs. Record who added them and which version was reviewed. Approval expiry must also be visible. Test duplicate names and stale endpoints. Test unverified metadata and ownership changes. Test removal too.

Require stable identifiers instead of trusting display names. Preserve registration and approval events alongside change and revocation events. A discovery result should distinguish an approved production server from a similarly named development endpoint.

The best MCP security tools guide places ContextForge among broader tool categories. A dedicated acceptance test needs the actual deployment configuration and enabled functions.

Protocol conversion must preserve security context

Conversion can change fields and streaming behavior. It can also alter error handling or identity propagation. Build one test for every enabled source-to-target pair. Send a known user or workload identity with the tenant and request identifier. Include the authorization context and trace value. Confirm what arrives downstream. Then verify what is recorded.

Reject conversions that collapse several users into one unexplained service credential. If service credentials are required, preserve the initiating identity in a signed context that policy and audit systems can validate.

Test malformed messages and oversized inputs. Cover timeouts and retries. Include partial streams and downstream errors. The acceptance record should show whether a retry can duplicate an action or lose the original authorization decision.

Authentication and plugins need bounded authority

Inventory every credential ContextForge can accept or hold. Identify issuance and storage. Record rotation and audience. Document scope and revocation. Name the owner. Test tenant separation. Also test failure behavior when an identity provider is unavailable.

Plugins run with authority inside the gateway path. Record plugin source and version. Document permissions and configuration. Record review and rollback. A plugin that can rewrite requests or route destinations deserves the same change control as application code.

Keep secrets out of prompts and logs, including registry metadata. Use references and redaction rules. Verify that support bundles and traces do not copy tokens or sensitive payloads.

Observability needs a correlation contract

Define one correlation identifier across registry lookup and gateway handling. Carry it through conversion and the downstream call, including the response. Preserve protocol and caller identity. Record the target and decision. Capture plugin versions and the result. Include the time. An investigator should be able to reconstruct a failed route without reading private message content. Test that outcome directly.

The AI gateway observability guide covers model-request telemetry. ContextForge observability also needs to cover MCP tools and agent messages, along with registry activity and converted APIs under their own schemas.

Set retention and access by record class. Registry changes may need a longer history than debug payloads. Security events need independent custody so the component cannot silently alter the only evidence about itself.

Define coexistence with an LLM policy gateway

Some deployments may send authenticated OpenAI- or Anthropic-compatible model requests through a separate LLM policy gateway. Document the order. Evaluate identity and data classification before the request reaches the model. Confirm the approved model destination and policy decision at the same stage.

Avoid double transformations and conflicting retries. Decide which component owns rate limits and redaction. Assign ownership for destination selection and response inspection. Also assign the final request identifier. Run failure tests with each component unavailable.

MCP tool calls and A2A messages remain outside DeepInspect's product boundary. So do STDIO sessions and registry operations. Generic REST proxying remains outside it too. Coexistence is useful only for the separate HTTP model request.

DeepInspect

DeepInspect can coexist on the HTTP path between authenticated users or agents and LLM endpoints. It evaluates application-supplied identity and role with data classification. The decision also uses the use case and model destination. It records the policy version, then writes a per-decision event.

ContextForge remains responsible for its registry and MCP routes. It also remains responsible for A2A routes. ContextForge owns protocol conversion and plugins. Generic APIs remain there too. Define a clear handoff only where a converted or federated application sends a managed request to an LLM endpoint.

Book a technical deep dive at deepinspect.ai.