Vivaria is METR's tool for running evaluations and conducting agent elicitation research.
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Updated
May 18, 2026 - TypeScript
Vivaria is METR's tool for running evaluations and conducting agent elicitation research.
Better 'AskUserQuestion' - A lightweight MCP server/OpenCode plugin/Agent Skills + CLI interface which allows parallel AI agents ask questions to you. Be the human in the human-in-the-loop!
[AISTATS2021] Official implementation of "Sample Elicitation"
Running UK AISI's Inspect in the Cloud
TasteRay skills for psychological profiling through natural conversation
MCP as a Judge is a behavioral MCP that strengthens AI coding assistants by requiring explicit LLM evaluations
Security Expert Elicitation of Risks
A modern CLI tool for generating production-ready Model Context Protocol (MCP) servers
Methods for mathematically aggregating expert judgements
A Claude AI skill for asking clarifying questions and resolving ambiguity before starting tasks. Multi-round elicitation, automatic question grouping, and intelligent stopping rules for better first-draft outputs.
elicitr is an R package, used to aggregate elicitation data. The package is in active development and implements functions based on two formal elicitation methods. You provide the data, and elicitr transforms them into easily readable graphics.
REST bridge to the MCP ecosystem, powered by mcp-use
UMLet ISTAR-palette for goal oriented requirements engineering (GORE)
This is a minimal Model Context Protocol (MCP) server that showcases how to build MCP tools with elicitation capabilities
Shiny app visualiser of four point elicitation data
Course-ready CLI reference for the Model Context Protocol. Demonstrates all six MCP primitives (tools, resources, prompts, sampling, elicitation, roots) wired to Anthropic's Claude. Adapted from Anthropic Academy for O'Reilly Live Training.
Enhanced FastMCP server with real-time progress reporting, Pydantic elicitation, context logging & Claude Sonnet 4.5 integration — file operations with BASE_DIR security
MCP server for conversational meal planning with OAuth 2.1 auth, multi-step elicitation, LLM sampling, and background tasks. Built with FastMCP, deployed to GKE.
Let existing MCP servers ask for missing required tool arguments through MCP elicitation, without changing the upstream server.
tPRiors: Bayesian prevalence estimation
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