Infrastructure teams placing a control point in front of MCP servers.
Whether Endram provides the runtime control and evidence needed for mcp proxy.
The control gap
A transport proxy can route and observe MCP traffic, but security value depends on whether it understands the action, identity, and resource well enough to make a decision.
The proxy must reconstruct enough context for policy without silently changing protocol behavior. Preserve request IDs, cancellation, progress, errors, and server responses while extracting a normalized tool name and resource selector. Limit logged arguments because MCP payloads may contain credentials, personal data, or proprietary content.
Measure added latency separately for automatic decisions and human approvals. Automatic policy should remain predictable under load, and retries must not create duplicate side effects. Define whether the proxy fails closed when Endram is unreachable and document any narrowly scoped continuity exceptions.
What good looks like
Endram adds semantic authorization and approvals to the MCP request path.
- Protocol-aware request parsing
- Identity propagation
- Semantic policy evaluation
- Decision-bound forwarding
A production workflow
- Receive the MCP request
- Extract tool and arguments
- Evaluate policy
- Forward, deny, or hold for approval
Evidence to require
- Original request hash
- Extracted decision context
- Policy result
- Upstream execution result
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 proxy?
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.