Perspectives MCP server

Polydev - Multi-Model AI Perspectives

Get unstuck faster. Query GPT 5.2, Claude Opus 4.5, Gemini 3, and Grok 4.1 simultaneously — one API call, four expert opinions.

Why Polydev?

Stop copy-pasting between ChatGPT, Claude, and Gemini. Get all their perspectives in your IDE with one request.

"Different models have different blind spots. Combining their perspectives eliminates yours."

Supported Models

Quick Start

1. Get your free API token

polydev.ai/dashboard/mcp-tokens

2. Install in your IDE

Claude Code

claude mcp add polydev -- npx -y polydev-ai@latest

Then set your token:

export POLYDEV_USER_TOKEN="pd_your_token_here"

Or add to ~/.claude.json:

{
  "mcpServers": {
    "polydev": {
      "command": "npx",
      "args": ["-y", "polydev-ai@latest"],
      "env": {
        "POLYDEV_USER_TOKEN": "pd_your_token_here"
      }
    }
  }
}

Cursor

Add to ~/.cursor/mcp.json:

{
  "mcpServers": {
    "polydev": {
      "command": "npx",
      "args": ["-y", "polydev-ai@latest"],
      "env": {
        "POLYDEV_USER_TOKEN": "pd_your_token_here"
      }
    }
  }
}

Windsurf

Add to your MCP configuration:

{
  "mcpServers": {
    "polydev": {
      "command": "npx",
      "args": ["-y", "polydev-ai@latest"],
      "env": {
        "POLYDEV_USER_TOKEN": "pd_your_token_here"
      }
    }
  }
}

Cline (VS Code)

1. Open Cline settings (gear icon)
2. Go to "MCP Servers" → "Configure"
3. Add the same JSON config as above

OpenAI Codex CLI

Add to ~/.codex/config.toml:

[mcp_servers.polydev]
command = "npx"
args = ["-y", "polydev-ai@latest"]

[mcp_servers.polydev.env]
POLYDEV_USER_TOKEN = "pd_your_token_here"

[mcp_servers.polydev.timeouts]
tool_timeout = 180
session_timeout = 600

Usage

Natural Language

Just mention "polydev" or "perspectives" in your prompt:

"Use polydev to debug this infinite loop"

"Get perspectives on: Should I use Redis or PostgreSQL for caching?"

"Use polydev to review this API for security issues"

MCP Tool

Call the get_perspectives tool directly:

{
  "tool": "get_perspectives",
  "arguments": {
    "prompt": "How should I optimize this database query?",
    "user_token": "pd_your_token_here"
  }
}

Example Response

🤖 Multi-Model Analysis

┌─ GPT 5.2 ────────────────────────────────────────
│ The N+1 query pattern is causing performance issues.
│ Consider using eager loading or batch queries...
└──────────────────────────────────────────────────

┌─ Claude Opus 4.5 ────────────────────────────────
│ Looking at the execution plan, the table scan on
│ `users` suggests a missing index on `email`...
└──────────────────────────────────────────────────

┌─ Gemini 3 ───────────────────────────────────────
│ The query could benefit from denormalization for
│ this read-heavy access pattern...
└──────────────────────────────────────────────────

Shortened. The full README is on GitHub.