MCP Security Consulting for AI Tooling
Design and review Model Context Protocol tool exposure so AI agents can use useful capabilities without unnecessary risk.
Who it is for
Builders exposing local tools, internal APIs, security utilities, or business workflows to AI agents.
Pricing starting point
MCP consulting is scoped by tool count, action risk, and whether implementation support is included.
Problems this solves
- Overbroad tool permissions
- No approval layer for sensitive actions
- Weak audit trail for agent-triggered operations
Deliverables
- Tool exposure review
- Approval and audit recommendations
- Safer tool boundary design
- Implementation support for MCP-related systems
Tools and stack
- MCP
- TypeScript
- Python
- policy gates
- audit logs
- local-first agent runtimes
Example use cases
- Review an MCP server before production use
- Add approval gates for sensitive tools
- Segment safe read-only tools from write actions
FAQ
Is MCP safe by default?
MCP is a protocol. Safety depends on the tools exposed, permissions, approvals, and logs.
Can you review an existing MCP server?
Yes. The review focuses on boundaries, prompts, credentials, and side effects.
Need this scoped for your site or system?
Send the target, the concern, and what outcome would make the work useful.