Agent control plane

MCP observability with enforcement context

MCP observability with enforcement context with identity-aware policy, human approval, and a verifiable decision record for every sensitive tool call.

Updated July 2026Implementation guidemcp observability
Built for

SRE and security teams diagnosing agent tool behavior.

Decision supported

Whether Endram provides the runtime control and evidence needed for mcp observability.

The control gap

Traces show that a call happened, but often omit why it was permitted, which rule matched, and what delegated authority was used.

MCP traces become substantially more useful when authorization is a span with structured dimensions. Capture server, client, tool, decision, reason, policy version, approval state, and latency while keeping argument content minimized. Correlation IDs should connect the client request, Endram decision, and upstream result.

Operational alerts should distinguish policy health from server health. A spike in denies may be an attack, a new client, or a broken selector; rising decision latency is different from upstream tool latency; expired approvals reveal reviewer capacity. These distinctions allow teams to respond without weakening policy to clear a generic error rate.

What good looks like

Operational telemetry is joined to the authorization decision and policy version that governed each invocation.

  • Decision latency metrics
  • Structured reasons
  • Request and response correlation
  • Policy-version dimensions

A production workflow

  1. Create correlation ID
  2. Evaluate and time policy
  3. Forward allowed request
  4. Attach upstream result

Evidence to require

  • Latency percentiles
  • Decision counts by reason
  • Approval queue health
  • Failed upstream calls

Buyer checklist

  • Can the product enforce a decision before the external tool executes?
  • Can policy distinguish the agent, delegated user, tool, resource, and environment?
  • Can reviewers see the exact requested action and approve it without broadening future access?
  • Does every allow, deny, and approval retain the policy version and reason?

Practical answers

Common implementation questions

What does Endram control for mcp observability?

Endram evaluates the concrete tool call at runtime. It can allow, deny, or pause the call for approval using agent identity, delegated authority, action, resource, environment, and request context.

Does Endram replace the tool's own IAM?

No. Keep native IAM and OAuth scopes as the outer boundary. Endram adds a decision layer for the actions an agent attempts inside those credentials.

Can teams evaluate policies before enforcing them?

Yes. Shadow mode records the decision Endram would make without interrupting the call, so teams can measure impact before switching a policy to enforcement.

Continue the evaluation

Related controls