[AISTATS2021] Official implementation of "Sample Elicitation"
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Updated
Apr 12, 2021 - Python
[AISTATS2021] Official implementation of "Sample Elicitation"
Running UK AISI's Inspect in the Cloud
MCP as a Judge is a behavioral MCP that strengthens AI coding assistants by requiring explicit LLM evaluations
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.
REST bridge to the MCP ecosystem, powered by mcp-use
Live requirements-elicitation assistant for client meetings. Detects ambiguity as it is spoken and surfaces the right follow-up question inside the conversational window — by pre-reasoning a question bank offline, so the fast path makes no model call at all. Rust + Tauri desktop, Python FastAPI service.
Enhanced FastMCP server with real-time progress reporting, Pydantic elicitation, context logging & Claude Sonnet 4.5 integration — file operations with BASE_DIR security
This is official repository for LadderTeam: Dual-Agent Laddering Elicitation Framework. The repository houses laddering conversations and related codes
Let existing MCP servers ask for missing required tool arguments through MCP elicitation, without changing the upstream server.
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.
Transparent MCP proxy that gates destructive tool calls behind human approval — elicitation, webhooks, WhatsApp. Drop-in for any MCP server.
A meeting becomes a scope tree a build can run against. Agent skills for Claude Code and Codex.
To associate your repository with the elicitation topic, visit your repo's landing page and select "manage topics."