polydev-ai
Queries multiple AI models simultaneously (GPT 5.2, Claude Opus 4.5, Gemini 3, Grok 4.1) via a single API call to provide diverse expert perspectives and consensus recommendations.
README
Polydev - Multi-Model AI Perspectives
Get unstuck faster. Query GPT 5.2, Claude Opus 4.5, Gemini 3, and Grok 4.1 simultaneously ā 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.
| Metric | Result |
|---|---|
| SWE-bench Verified | 74.6% Resolve@2 |
| Cost vs Claude Opus | 62% lower |
| Response time | 10-40 seconds |
"Different models have different blind spots. Combining their perspectives eliminates yours."
Supported Models
| Model | Provider | Strengths |
|---|---|---|
| GPT 5.2 | OpenAI | Reasoning, code generation |
| Claude Opus 4.5 | Anthropic | Analysis, nuanced thinking |
| Gemini 3 Pro | Multimodal, large context | |
| Grok 4.1 | xAI | Real-time knowledge, directness |
Quick Start
1. Get your free API token
polydev.ai/dashboard/mcp-tokens
| Tier | Messages/Month | Price |
|---|---|---|
| Free | 1,000 | $0 |
| Pro | 10,000 | $19/mo |
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)
- Open Cline settings (gear icon)
- Go to "MCP Servers" ā "Configure"
- 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
š¤ Multi-Model Analysis
āā GPT 5.2 āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā The N+1 query pattern is causing performance issues.
ā Consider using eager loading or batch queries...
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
āā Claude Opus 4.5 āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā Looking at the execution plan, the table scan on
ā `users` suggests a missing index on `email`...
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
āā Gemini 3 āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā The query could benefit from denormalization for
ā this read-heavy access pattern...
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
āā Grok 4.1 āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā Just add an index. The real problem is you're
ā querying in a loop - fix that first.
āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
ā
Consensus: Add index on users.email, fix N+1 query
š” Recommendation: Use eager loading with proper indexing
Research
Our approach achieves 74.6% on SWE-bench Verified (Resolve@2), matching Claude Opus at 62% lower cost.
| Approach | Resolution Rate | Cost/Instance |
|---|---|---|
| Claude Haiku (baseline) | 64.6% | $0.18 |
| + Polydev consultation | 66.6% | $0.24 |
| Resolve@2 (best of both) | 74.6% | $0.37 |
| Claude Opus (reference) | 74.4% | $0.97 |
Available Tools
| Tool | Description |
|---|---|
get_perspectives |
Query multiple AI models simultaneously |
get_cli_status |
Check status of local CLI tools |
force_cli_detection |
Re-detect installed CLI tools |
send_cli_prompt |
Send prompts to local CLIs with fallback |
Links
- Website: polydev.ai
- Dashboard: polydev.ai/dashboard
- npm: npmjs.com/package/polydev-ai
- Research: SWE-bench Paper
IDE Guides
License
MIT License - see LICENSE for details.
<p align="center"> <b>Built by <a href="https://polydev.ai">Polydev AI</a></b><br> <i>Multi-model consultation for better code</i> </p>
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.