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Perspective MCP Server

Perspective MCP Server

Local
github.com/FiveOhhWonAI & Agents2Updated 72w ago

About Perspective MCP Server

Perspective MCP Server helps AI assistants examine problems through professional viewpoints and run structured debates. It is intended for product, architecture, and business discussions, with analyses that build on prior insights and debates that can incorporate new constraints.

Key features

  1. 01Configure multiple professional perspectives
  2. 02Build analysis across viewpoints
  3. 03Run structured three-round debates
  4. 04Add constraints during debates
  5. 05Summarize analyses and debates

Use cases

  1. 01Assess product decisions from varied roles
  2. 02Compare technical architecture options
  3. 03Discuss business strategies and trade-offs
  4. 04Add requirements mid-discussion and summarize outcomes

MCP support

The MCP server exposes tools for defining perspectives, conducting analysis, starting debates, adding constraints, and generating summaries.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"perspective": {
"command": "npx",
"args": [
"-y",
"perspective-mcp"
]
}
}
}
Run commandnpx -y perspective-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmperspective-mcp

Tools

6

Saved tool list · updated 3w ago

ParameterTypeRequiredDescription
perspectivesarrayYesArray of perspective objects

Details

From the project README

Perspective MCP Server

🤖 Co-created with Claude Code - Because even AI needs multiple perspectives!

A Model Context Protocol (MCP) server that enables AI assistants to analyze problems through multiple professional perspectives and facilitate structured debates between viewpoints.

MCP Compatible License: MIT

Overview

The Perspective MCP Server transforms how AI assistants approach complex problems by providing structured multi-stakeholder analysis. Whether you're making product decisions, evaluating technical architectures, or exploring business strategies, this server enables comprehensive analysis through diverse professional lenses.

Key Features
  • 🎭 Multi-Perspective Analysis: Analyze topics through various professional roles (PM, EM, Designer, etc.)
  • 💬 Structured Debates: Facilitate 3-round debates between perspectives for deeper insights
  • 🔄 Dynamic Constraints: Inject new considerations mid-analysis to explore scenarios
  • 📊 Comprehensive Summaries: Generate detailed summaries of analyses and debates
  • 🔗 Context Awareness: Each perspective builds upon previous insights

Installation

Using npx (recommended)
npx perspective-mcp
From Source
git clone https://github.com/FiveOhhWon/perspective-mcp.git
cd perspective-mcp
npm install
npm run build
Development Mode
npm run dev

Configuration

Claude Desktop

Add this configuration to your Claude Desktop config file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\\Claude\\claude_desktop_config.json

{
  "mcpServers": {
    "perspectives": {
      "command": "node",
      "args": ["/absolute/path/to/perspective-mcp/dist/index.js"]
    }
  }
}

Or using npx:

{
  "mcpServers": {
    "perspectives": {
      "command": "npx",
      "args": ["perspective-mcp"]
    }
  }
}

Usage

Standard Analysis Mode
  1. Set up perspectives for your analysis:
Use the set_perspectives tool to define roles:
- Product Manager: focuses on user needs, market fit, roadmap
- Engineering Manager: focuses on technical feasibility, resources
- UX Designer: focuses on user experience, accessibility
- Business Analyst: focuses on ROI, metrics, market trends
  1. Analyze through each perspective:
Use the perspective tool to analyze the problem from each viewpoint.
Each perspective will build on previous insights.
Debate Mode

After initial analysis, engage selected perspectives in structured debate:

  1. Start a debate between 2-4 perspectives
  2. Round 1: Each participant states their position
  3. Round 2: Participants respond to conflicting viewpoints
  4. Round 3: Synthesis and compromise proposals
  5. Generate summary of key points and outcomes

Available Tools

set_perspectives

Define the professional roles/personas for analysis.

Parameters:

  • perspectives (array, required): Array of perspective objects
    • role (string): Professional role name
    • focusAreas (string[]): Primary areas of focus
    • personality (string): Approach and traits

Example:

{
  "perspectives": [
    {
      "role": "Product Manager",
      "focusAreas": ["user needs", "market fit", "roadmap"],
      "personality": "Strategic, user-centric, data-driven"
    }
  ]
}
perspective

Perform analysis from the current perspective.

Parameters:

  • analysis (string, required): The analysis from current perspective
  • nextPerspectiveNeeded (boolean, required): Whether to advance to next perspective

Returns: Confirmation with progress tracking and next perspective details

start_debate

Initiate a structured debate between selected perspectives.

Parameters:

  • topic (string, required): The question or problem to debate
  • participants (string[], required): 2-4 role names to participate

Returns: Debate initialization with round and speaker information

debate_turn

Submit a statement in the ongoing debate.

Parameters:

  • statement (string, required): The participant's statement
  • nextTurnNeeded (boolean, required): Whether to proceed to next turn

Returns: Turn confirmation with round progression details

inject_constraint

Add new constraints or considerations during debate.

Parameters:

  • constraint (string, required): New constraint to consider

Returns: Confirmation with total constraints

debate_summary

Generate comprehensive summary of the debate.

Parameters: None

Returns: Formatted summary with topic, participants, key points, and constraints

Examples

Product Decision Analysis
// 1. Set up diverse perspectives
perspectives: [
  { role: "Product Manager", focusAreas: ["user value", "market fit"], personality: "Strategic" },
  { role: "Engineering Manager", focusAreas: ["feasibility", "technical debt"], personality: "Pragmatic" },
  { role: "UX Designer", focusAreas: ["usability", "accessibility"], personality: "User-advocate" },
  { role: "Data Analyst", focusAreas: ["metrics", "user behavior"], personality: "Evidence-based" }
]

// 2. Analyze feature proposal through each lens
// 3. Start debate on implementation approach
// 4. Inject constraint: "Timeline reduced by 1 month"
// 5. Generate summary with recommendations
Technical Architecture Review
// Set up technical perspectives (Architect, Security, DevOps, QA)
// Analyze proposed architecture
// Debate trade-offs between different approaches
// Consider new requirements mid-debate
// Synthesize optimal solution

Project Structure

perspective-mcp/
├── src/
│   └── index.ts          # Main server implementation
├── examples/
│   ├── product-analysis.json    # Example perspective sets
│   └── debate-example.json      # Debate configuration example
├── dist/                 # Compiled JavaScript
├── package.json
├── tsconfig.json
└── README.md

Development

Prerequisites
  • Node.js 18 or higher
  • npm or yarn
Building
npm run build
Testing
npm test
Contributing

We welcome contributions! Please see our Contributing Guidelines for details.

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Troubleshooting

Common Issues

Perspectives not advancing:

  • Ensure nextPerspectiveNeeded is passed as boolean true, not string
  • Check server logs for debug output

Debate not starting:

  • Verify all participant roles exist in your perspectives
  • Ensure 2-4 participants are selected

Configuration not working:

  • Use absolute paths in configuration
  • Restart Claude Desktop after config changes
  • Check file permissions

Security Considerations

This server operates with standard MCP permissions:

  • No file system access required
  • No network requests made
  • All data processed locally
  • Stateless between sessions (unless explicitly maintaining context)

Related Projects

License

MIT License - see LICENSE file for details.

Acknowledgments

Built with the Model Context Protocol SDK by Anthropic.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.