Runtime relationships
A registry says what should happen. Runtime evidence shows which client invoked a tool, which server handled it, which system responded, and whether policy applied.
Use case
Build toward evidence-backed MCP data-flow context.
Product direction: map supported agent-to-tool-to-system relationships from the initiating device through downstream systems without retaining sensitive payloads.
Talk to AxLoopWhat to record
Useful evidence preserves relationships while minimizing content.
- Agent, client, user, device, and team identity
- MCP server and tool identity
- Downstream API, database, file, or domain
- Redaction state and policy result
- Timing, status, retries, ownership, and approval state
Redact before persistence
Policy can remove values, retain approved fields, classify parameters, hash identifiers, or drop sensitive events before anything is written to disk.
Detect unexpected paths
New tool-to-system relationships, unmanaged-device access, missing redaction, and unapproved servers can be identified from context rather than payload inspection.
Common questions
Answers, briefly.
- What is MCP data-flow monitoring?
- It is the product direction for connecting supported evidence about an agent, device, MCP tool, and downstream system while minimizing sensitive content. It builds on discovery and interaction correlation.
- How could data flow be monitored without collecting payloads?
- Relationship metadata such as tool identity, destination class, timing, and result can remain useful while content is excluded or redacted. Any richer future trace level would require explicit authorization.
- What unexpected paths could it identify?
- With supported trace evidence, teams could investigate new tool-to-system relationships, access from unexpected devices, and interactions involving unapproved servers or sensitive systems.
- How could it support compliance reviews?
- A future audit layer could provide chronological evidence of supported AI workflows, human involvement, policy decisions, and outcomes. AxLoop does not present this roadmap capability as currently shipped.
AxLoop AI
Start with evidence at the edge.
Discover what exists. Build toward understanding the interaction.