{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_8nev2s4tyvx4","handle":"guru-pk-mcp","url":"https://wellknown.network/agents/guru-pk-mcp","links":{"self":"https://wellknown.network/agents/guru-pk-mcp/record.json","html":"https://wellknown.network/agents/guru-pk-mcp","markdown":"https://wellknown.network/agents/guru-pk-mcp/record.md","api":"https://wellknown.network/api/v1/agents/guru-pk-mcp","status":"https://wellknown.network/api/v1/agents/guru-pk-mcp/status","claim":"https://wellknown.network/agents/guru-pk-mcp/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/guru-pk-mcp/claim.json","badge":"https://wellknown.network/agents/guru-pk-mcp/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/guru-pk-mcp/history","tools":"https://wellknown.network/api/v1/agents/guru-pk-mcp/tools"},"ard":{"identifier":"urn:air::server:guru-pk-mcp","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"iflow-mcp_guru-pk-mcp","summary":"MCP server enabling AI expert debates - Dynamic expert generation for personalized multi-round philosophical discussions on any topic","description":"# 📚 Language Versions | 多语言版本 | 言語バージョン\n\n🌐 **[English](README.md)** | 🇨🇳 **[中文](README_zh.md)** | 🇯🇵 **[日本語](README_ja.md)**\n\n---\n\n## Guru-PK MCP Intelligent Expert Debate System\n\nAn AI expert debate system based on local MCP (Model Context Protocol), featuring **dynamic expert generation architecture** that intelligently creates the most suitable expert combinations based on questions for multi-round intellectual confrontation.\n\n## ✨ Core Features\n\n- 🏭 **Dynamic Expert Generation** - Completely question-driven, generating dedicated expert combinations each time\n- 🌟 **Unlimited Expert Pool** - Breaking fixed expert limitations, supporting expert generation in any domain  \n- 🔄 **Multi-Round PK Process** - Independent Thinking → Cross-Debate → Final Positions → Wisdom Synthesis\n- 🎨 **Tufte-Style Infographics** - Transform expert debates into single-page dynamic infographics strictly following data visualization master Edward Tufte's design principles\n- 🤖 **Intelligent Division Architecture** - MCP Host-side LLM handles intelligent analysis, MCP Server-side provides process guidance\n\n## 🌐 Online Demo\n\n**👉 [View Infographic Demo](https://mitsudoai.github.io/guru-pk-mcp/)**\n\nThis webpage displays Tufte-style dynamic infographics created using this MCP tool, intuitively showcasing the powerful capabilities of the expert debate system.\n\n## 🚀 Quick Installation\n\n### 1. Install Dependencies\n\n**Method 1: Using Installation Script (Recommended)**\n\n**macOS/Linux:**\n\n```bash\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n```\n\n**Windows:**\n\n```powershell\npowershell -ExecutionPolicy ByPass -c \"irm https://astral.sh/uv/install.ps1 | iex\"\n```\n\n**Method 2: Install with pip (All Platforms)**\n\n```bash\npip install uv\n```\n\n**Method 3: Download Installation Package**\n\nDownload the installation package for your platform from [UV Releases](https://github.com/astral-sh/uv/releases)\n\n### 2. Configure MCP Client\n\n**Recommended Method: Install from PyPI**\n\n```json\n{\n  \"mcpServer…","publisher":null,"homepage":"https://github.com/MitsudoAI/guru-pk-mcp/blob/main/README.md","repository":"https://github.com/MitsudoAI/guru-pk-mcp/issues","version":"1.2.4","license":"MIT License  Copyright (c) 2025 MitsudoAI Team  Permission is h…","protocols":["mcp"],"tags":["ai","claude-desktop","cursor","dynamic-experts","expert-debate","intelligent-generation","mcp","model-context-protocol","multi-round-debate","philosophy","uvx"],"pricing":null,"endpoints":[{"url":"pypi:guru-pk-mcp","type":"package_pypi","auth":null,"probeable":false},{"url":"pypi:iflow-mcp_guru-pk-mcp","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"dev.package-management","name":"Packages & Dependencies","confidence":1,"provenance":"derived"}],"categories":["dev"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; no network endpoint to check.","lastOkAt":null,"lastProbedAt":null,"statusComputedAt":null,"reliability30d":null,"latestObservations":[],"tools":null,"package":{"name":"iflow-mcp_guru-pk-mcp","registry":"pypi","observedAt":"2026-09-15T18:21:48.842Z","publishedAt":"2025-11-11T06:42:01.818476Z","latestVersion":"1.2.4"},"toolSurface":null,"endpointFacts":[]},"verification":{"claimed":false,"claimedAt":null,"proofs":[]},"provenance":{"sources":[{"source":"pypi","key":"iflow-mcp_guru-pk-mcp","url":"https://pypi.org/project/iflow-mcp_guru-pk-mcp/","firstSeenAt":"2026-09-09T19:23:24.498Z","fetchedAt":"2026-09-15T18:19:54.034Z","normalizedAt":"2026-09-15T18:19:54.034Z"},{"source":"pypi","key":"guru-pk-mcp","url":"https://pypi.org/project/guru-pk-mcp/","firstSeenAt":"2026-09-09T17:20:24.856Z","fetchedAt":"2026-09-15T16:19:59.881Z","normalizedAt":"2026-09-15T16:19:59.881Z"}]},"firstSeenAt":"2026-09-09T17:20:24.856Z","updatedAt":"2026-09-15T18:21:48.842Z"}