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Security inside the AI coding agent.
Heeler embeds into Claude Code, Cursor, GitHub Copilot, and other coding agents through an MCP server and Agent Skills. Your policies, dependency restrictions, and security context arrive in the agent's reasoning — not as a post-hoc ticket.
AI agents write code faster than humans can review.
The volume of AI-generated code has destroyed the assumption that a human reviewer will catch security mistakes. The economics shifted; the playbook hasn't.
Agents don't know your policies
Coding agents make decisions about dependencies, secrets, and patterns with no view of your org's rules, threat model, or runtime exposure.
Reviewers can't keep up
By the time scanner output reaches a human, the agent has generated five more PRs. Volume defeats triage; the backlog wins.
Legacy tools fire too late
Linters and SAST run when the agent is gone. Findings become tickets. Tickets become backlog. Nothing was prevented.
Three places Heeler shows up inside the agent.
Heeler MCP server
An MCP-compliant server that lets coding agents call Heeler at the moment of decision. Check a dependency before introducing it. Validate that a generated secret is actually a placeholder. Look up the policy for a service. Heeler responds with org-specific context, not generic advice.
- Tool calls including check_dependency, validate_secret, lookup_policy, get_service_context
- Compatible with any MCP-supporting agent
- Org context, threat data, and runtime exposure included in every response
Heeler Agent Skills
Heeler-authored skills that AI coding agents auto-load and reference. Skills encode your security policies, approved dependencies, and remediation patterns — so agents follow them by default, not as an afterthought.
- Skills cover dependency upgrades, secret handling, IAM patterns, and remediation flows
- Org-specific overrides for approved packages and forbidden patterns
- Updated continuously as policies and threats change
Heeler CLI
Local and CI-side checks that run the same logic as the MCP server. Developers and agents can run heeler check before committing — catching what review would have caught, before review starts. Offline secret detection is built in.
- Pre-commit checks for SCA, secrets, and agent-skills inventory
- Same context engine as the MCP server
- Runs offline; source code never leaves the machine for secret detection
Works with the agents your developers already use.
See it run on your repos.
A demo on your own codebase shows what Heeler would have caught — and prevented — in your last week of AI-generated PRs.
