perspectives
Query GPT 5.2, Claude Opus 4.5, Gemini 3, Grok 4.1 simultaneously for AI perspectives
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"polydev-ai": {
"args": [
"polydev-ai@1.8.70"
],
"command": "npx"
}
}
}
可用工具 (5 个)
该服务在 MCP 协议中暴露的工具,AI 可按需调用
tavily_search 14 个参数 需填 1 项
Search the web for current information on any topic. Use for news, facts, or data beyond your knowledge cutoff. Returns snippets and source URLs.
必填参数:query
tavily_extract 6 个参数 需填 1 项
Extract content from URLs. Returns raw page content in markdown or text format.
必填参数:urls
tavily_crawl 11 个参数 需填 1 项
Crawl a website starting from a URL. Extracts content from pages with configurable depth and breadth.
必填参数:url
tavily_map 8 个参数 需填 1 项
Map a website's structure. Returns a list of URLs found starting from the base URL.
必填参数:url
tavily_research 2 个参数 需填 1 项
Perform comprehensive research on a given topic or question. Use this tool when you need to gather information from multiple sources to answer a question or complete a task. Returns a detailed response based on the research findings.
必填参数:input
服务介绍
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.
| 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 | Google | 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" → "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
🤖 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...
└──────────────────────────────────────────────────
┌─ Grok 4.1 ───────────────────────────────────────
│ Just add an index. The real problem is you're
│ querying in a loop - fix that first.
└──────────────────────────────────────────────────
✅ Consensus: Add index on users.email, fix N+1 query
💡 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.