guru-pk-mcp
An MCP server that enables multi-round AI expert debates with dynamic expert generation, cross-debate, and Tufte-style infographic export.
README
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Guru-PK MCP Intelligent Expert Debate System
An 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.
β¨ Core Features
- π Dynamic Expert Generation - Completely question-driven, generating dedicated expert combinations each time
- π Unlimited Expert Pool - Breaking fixed expert limitations, supporting expert generation in any domain
- π Multi-Round PK Process - Independent Thinking β Cross-Debate β Final Positions β Wisdom Synthesis
- π¨ Tufte-Style Infographics - Transform expert debates into single-page dynamic infographics strictly following data visualization master Edward Tufte's design principles
- π€ Intelligent Division Architecture - MCP Host-side LLM handles intelligent analysis, MCP Server-side provides process guidance
π Online Demo
This webpage displays Tufte-style dynamic infographics created using this MCP tool, intuitively showcasing the powerful capabilities of the expert debate system.
π Quick Installation
1. Install Dependencies
Method 1: Using Installation Script (Recommended)
macOS/Linux:
curl -LsSf https://astral.sh/uv/install.sh | sh
Windows:
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
Method 2: Install with pip (All Platforms)
pip install uv
Method 3: Download Installation Package
Download the installation package for your platform from UV Releases
2. Configure MCP Client
Recommended Method: Install from PyPI
{
"mcpServers": {
"guru-pk": {
"command": "uvx",
"args": ["--from", "guru-pk-mcp", "guru-pk-mcp-server"],
"env": {
"DATA_DIR": "~/.guru-pk-data" // macOS/Linux: ~ directory, Windows: %USERPROFILE% directory
}
}
}
}
Update Instructions:
When you need to update
guru-pk-mcpto the latest version, run:uvx pip install --upgrade guru-pk-mcpThis command fetches and installs the latest released version from PyPI
If you encounter cache issues, you can force refresh:
uvx --refresh-package guru-pk-mcp --from guru-pk-mcp python -c "print('β UVX cache refreshed')"Notes:
- macOS users might need to use the full path:
/Users/{username}/.local/bin/uvx- Windows users:
~automatically resolves to user home directory (e.g.,C:\\Users\\{username}), no manual modification needed
Development Method: Install from Source
{
"mcpServers": {
"guru-pk": {
"command": "uvx",
"args": ["--from", "/path/to/guru-pk-mcp", "guru-pk-mcp-server"],
"env": {
"DATA_DIR": "~/.guru-pk-data" // macOS/Linux: ~ directory, Windows: %USERPROFILE% directory
}
}
}
}
Local Development Instructions:
- For local development scenarios, if you need to refresh uvx cache, use
make refresh-uvx- This command forces UVX to reinstall the local package, ensuring the use of latest code changes
π― For Claude Code Users (Recommended)
Using Custom Slash Command (More Elegant)
If you're using Claude Code, we recommend this simpler approach:
- Copy
.claude/commands/guru-pk.mdto your global~/.claude/commands/directory - Use directly in any project:
/guru-pk your question
Advantages:
- β No MCP server configuration needed
- β Start expert debates with one command
- β Cleaner, more elegant experience
Getting Started
Restart your MCP client, enter guru_pk_help to get help, or directly ask questions to start expert debates!
// 1. Natural language questions (most recommended usage)
Are there any directions in the field of generative AI that are particularly suitable for individual entrepreneurship? Please have three experts PK
// 2. Intelligent candidate expert generation (system automatic execution)
start_pk_session: Are there any directions in the field of generative AI that are particularly suitable for individual entrepreneurship?
// 3. Intelligent candidate expert generation (user limits expected expert scope)
start_pk_session: Are there any directions in the field of generative AI that are particularly suitable for individual entrepreneurship? Find two AI field experts and one famous individual entrepreneur to debate
π‘ Usage Tips
Starting Debates:
- π€
start_pk_session: direct question- Default high-efficiency batch processing mode (recommended) - π
start_stepwise_pk_session: direct question- Traditional step-by-step dialogue mode
Tool Functions:
- π
guru_pk_help- Get system introduction and detailed help - π
export_session- Export session as Markdown file - π¨
export_session_as_infographic- Export session as Tufte-style single-page dynamic infographic - π
export_enhanced_session- Export enhanced analysis report - π
set_language- Set expert reply language
π± Compatibility
Supports all MCP-compatible applications: Claude Desktop, Cursor, TRAE, DeepChat, Cherry Studio, etc.
π― Recommended Configuration
Most Recommended MCP Hosts:
- π° Subscription-based MCP Hosts calculated by user requests - Such as Cursor and overseas TRAE
- π Advantages:
- Significant cost advantages: subscription billing calculated by user requests, not API call counts or token billing
- Claude models have the best MCP support with excellent instruction-following capabilities
β οΈ Not Recommended Configuration
- π« TRAE Domestic Version - Built-in domestic models have sensitive word censorship issues that may interrupt expert debate processes, affecting user experience
π οΈ Technical Architecture
Intelligent Division Principles:
- π§ MCP Host-side LLM: Responsible for complex semantic analysis and intelligent generation
- π§ MCP Server-side: Provides concise process control and data management
Dynamic Expert Generation Flow
flowchart TD
A[π€ Raise Question] --> B[π§ Intelligent Analysis]
B --> C[π₯ Generate Candidates]
C --> D[π Start Debate]
A1[Ask system directly about any topic]
B1[MCP Host-side LLM deeply analyzes question characteristics]
C1[Dynamically create 3 most relevant experts]
D1[Launch multi-round PK process]
A -.-> A1
B -.-> B1
C -.-> C1
D -.-> D1
style A fill:#e1f5fe
style B fill:#f3e5f5
style C fill:#e8f5e8
style D fill:#fff3e0
π Debate Flow
Two Debate Modes:
π Batch Processing Mode (start_pk_session) - Default Recommended
- β‘ High Efficiency: Generate all expert answers in one round, saving about 60% time
- π― Use Cases: Rapidly obtain multi-perspective analysis, efficient decision support
π Stepwise Mode (start_stepwise_pk_session) - Traditional Experience
- π Interactive: Experts speak sequentially, allowing real-time adjustment and deep exploration
- π― Use Cases: Deep contemplation, enjoying the complete debate process
4-Round Debate Flow:
flowchart TD
A[π€ Independent Thinking] --> B[βοΈ Cross-Debate]
B --> C[π― Final Positions]
C --> D[π§ Wisdom Synthesis]
A1[Each expert independently analyzes the problem]
B1[Experts mutually question and learn from each other]
C1[Form their respective refined solutions]
D1[Ultimate answer integrating all perspectives]
A -.-> A1
B -.-> B1
C -.-> C1
D -.-> D1
B --> B2[Multi-round Interaction]
B2 --> B
style A fill:#e3f2fd
style B fill:#fce4ec
style C fill:#e8f5e8
style D fill:#fff8e1
style B2 fill:#f3e5f5
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