Primary surface
Packages findings, policies, repository structure, and verification hints for agent workflows.
Provide AI agents with scoped SafeVibe findings, policies, repository context, and verification prompts for secure remediation.
Page intent
productMCP security context that helps AI agents work with current product risk and policy boundaries.
MCP security context that helps AI agents work with current product risk and policy boundaries. It is written for AI-native engineering teams, developer platform teams, security engineers, and tooling owners, with the review anchored in the real application paths, roles, data, and evidence that drive the decision.
Packages findings, policies, repository structure, and verification hints for agent workflows.
Keeps agent context scoped to relevant product areas and permissions.
Highlights unresolved risks before agents propose related changes.
Records where AI-assisted remediation still needs human review.
SafeVibe is strongest when security work is tied to real routes, roles, data movement, and release decisions instead of detached scanner output.
Select the product, repositories, policies, and findings agents may use.
Expose scoped security context through the approved MCP workflow.
Use agent output to support fixes, tests, and verification prompts.
Review and retest changes before closing findings.
agent security context pack
policy and finding snapshot
AI-assisted fix review
verification prompt record
Agents suggest code without knowing current security findings.
Generated fixes ignore approved policies or accepted-risk context.
agent security context pack
Repository structure and ownership are unclear to automated workflows.
Agents suggest code without knowing current security findings.
Generated fixes ignore approved policies or accepted-risk context.
Repository structure and ownership are unclear to automated workflows.
Verification prompts drift from the actual product security record.
It gives approved agent workflows the product security context they need to avoid stale or unsafe recommendations.
No. Agent output should support remediation, but closure needs review, product behavior validation, and retest evidence.
Include relevant findings, policy rules, repository structure, owners, fix criteria, and verification prompts.
Teams should scope context to the product, repository, and workflow the agent is allowed to support.
See how MCP security context turns into scans, findings, fixes, and evidence inside a real SafeVibe workspace.