retriEVAL runs on your own machine — the client starts it, so there is no endpoint to ping. Last commit 28 Sep 2026.
LLM evals as MCP tools: score outputs for faithfulness, relevancy, and hallucination.
We read the source, 5 d ago · rules 995398eba69f
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
with open(os.path.join(_WEB, name), encoding="utf-8") as f:
document.getElementById("runsNav").innerHTML = RUNS.map(function(r){
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
Decision lock, anti-hallucination, meta-evolution and provenance for any MCP agent. 55 tools.
Hallucination validator and factual grounding checker for LLM outputs.
MCP server for real-time LLM API documentation — stop hallucinations
Detect fabrication and hallucination in any LLM output. 30+ models supported.
Fact-check and fix AI outputs. Hallucination detection, schema validation, auto-repair.
Wraps the slop-eval CLI as a single generic MCP tool for genericness scoring of AI UI output.
Parse partial / truncated / messy JSON for LLM tool calls and structured outputs.
MCP server for the MST Chain ecosystem providing search and retrieval tools for documentation.
Answers built from our own checks of this server.