Use cases / MCP tool-using agents
Give agents powerful tools with clear boundaries.
Govern MCP tools at the operation level, scope capability deliberately, and review tool changes before they become silent new authority.
One governed route
Every call takes a decided path.
The Agent calls its Aethis MCP endpoint. Aethis checks the tool is in the Agent's scope, reads the arguments against policy, and only then forwards, holds or blocks the call.
Why Aethis
Govern capability at the point of use.
MCP lowers the cost of connecting an agent to databases, services, and internal systems. One server can expose dozens of operations, and those operations rarely carry equal consequence.
Visible capability drift
Review a changed tool definition before the governed Connection resumes.
Explicit assignment
Assign only the Connections an agent needs, then use policy to compute its effective access to operations.
Operation-level policy
Treat read, write, export, delete, and other consequential calls according to what they do.
One endpoint per Agent
Point any MCP-compatible agent at its own Aethis URL. Scope, policy and evidence come with it.
Where teams start
Connection is easy. Capability is the real question.
Server review
Start with an approved route and an inspectable catalogue.
The server stays where it is; Aethis governs the route to it.
Effective tool access
Give different agents different scopes on the same server.
Illustrative: one agent can search orders; another can also propose a refund.
Meaningful policy
Judge the operation and its arguments, not the tool name alone.
Illustrative: allow a display-name update; hold an ownership change.
Capability change review
Notice when yesterday’s connection becomes more powerful.
A newly added destructive operation does not enter the governed path silently.
Go deeper
Review MCP tool changes
Learn how tool definitions are fingerprinted, paused, reviewed, and recorded.
Read the guideWorks with your stack
Keep the tools you use.
- Remote MCP servers
- OpenAI direct route
MCP tools through your connected servers. OpenAI for supported direct model requests.
Grow the toolset. Keep trust deliberate.
Bring one MCP workflow through a boundary you can inspect and refine.