An MCP server that checks whether the world changed after a tool call by declaring observable outcomes, verifying them with read-only verifiers, and keeping hash-chained receipts.
An MCP server that validates tool calls against JSON Schema, performs deterministic repair, redacts secrets, and maintains a hash-chained audit ledger.
MCP server for verifying AI agent claims vs reality — single-transcript inline grounding-check that flags when an agent's response states facts not in the input context, when its code silently swallows exceptions and substitutes mock data, or when its multi-turn transcript contains contradictions or unverified completion claims. Sub-second, local, free, no API calls.
A standalone MCP server that validates and cleans structured data returned by AI agents, removing invented fields, coercing incorrect types, and ensuring the output matches the expected schema before it enters your pipeline.