invarianteval-mcp
Enables AI agents to run safety-invariant checks on structured outputs, ensuring locked fields are never auto-filled by the model without human confirmation. The server provides two tools: check_invariants and list_invariants for deterministic eval of high-stakes extractions.
- Score
- 22.5571 signal
- Evidence
- 1 star
- Last commit
- as last read from GitHub; most reads are from 2 Sep 2026 or later
- Listed
Install
No one-command install. Set it up from its source.
What it is
Enables AI agents to run safety-invariant checks on structured outputs, ensuring locked fields are never auto-filled by the model without human confirmation. The server provides two tools: check_invariants and list_invariants for deterministic eval of high-stakes extractions.
When to use it
Enables AI agents to run safety-invariant checks on structured outputs, ensuring locked fields are never auto-filled by the model without human confirmation. The server provides two tools: check_invariants and list_invariants for deterministic eval of high-stakes extractions.
How to install / invoke
See Glama for the install config.
Notes
Listed from the Glama MCP registry.