This MCP server enables AI agents to extract, verify, and cache factual claims from text using Claude Haiku and semantic fingerprinting, with tools for content verification, signal verification, and fact memory search.
An MCP server that verifies whether a claim is actually supported by the source text at a given citation — independent of what the calling LLM asserts.
A multi-agent verification MCP server that uses cross-family LLM critics, NLI, and consistency checks to minimize hallucinations and false claims in LLM outputs.
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.