AI Council for AI Agents
Give your agent access to four AI models that reason independently, then synthesize their answers into one verified response. REST API, MCP server, or framework tool. Integrate in minutes.
Quick Start
One API call, four perspectives
curl -X POST https://synero.ai/api/query \
-H "Authorization: Bearer sk_live_your_key_here" \
-H "Content-Type: application/json" \
-d '{
"prompt": "What conclusions does this research support?",
"context": [{"name": "research.md", "content": "# Findings\n..."}],
"format": "json"
}'How It Works
From question to verified answer
Agent sends a question
Your agent calls the Synero API with a prompt. Works via MCP tool call, REST API, or SDK.
Four models respond independently
GPT, Claude, Gemini, and Grok each reason about your question with unique perspectives.
Synthesis resolves contradictions
A fifth model reads all responses, identifies agreement and disagreement, and produces one unified answer.
Agent receives structured JSON
Your agent gets individual advisor responses plus the synthesized answer, ready to use in its workflow.
Response Format
Structured JSON for agents
{
"queryId": "a1b2c3d4-...",
"advisors": {
"architect": {
"response": "SSE is the right default for server→client...",
"model": "gpt-5.4",
"latencyMs": 1240
},
"philosopher": {
"response": "The question presupposes a binary choice...",
"model": "claude-opus-4-7",
"latencyMs": 1380
},
"explorer": { ... },
"maverick": { ... }
},
"synthesis": "Use SSE as your default for server-to-client...",
"synthesisModel": "claude-sonnet-4-6",
"tokenUsage": { ... }
}Integrations
Works with your stack
Native MCP server for IDEs, custom tools for agent frameworks, HTTP nodes for automation platforms.
MCP (IDE / Terminal)
Native integration with Claude Code, Cursor, and Windsurf
Agent Frameworks
Custom tools for LangChain, CrewAI, AutoGen
Automation & Low-Code
HTTP nodes for n8n and workflow tools
Try It
Test the API live
API Playground
Test the Synero API with your key
Reference
API endpoints
| Endpoint | Method | Description |
|---|---|---|
| /api/query | POST | Query the AI council (SSE stream or JSON) |
| /api/query?format=json | POST | JSON response mode for structured output for agents |
| /openapi.json | GET | OpenAPI 3.1 specification |
| /llms.txt | GET | Plain-text API docs for LLM consumption |
| /.well-known/mcp.json | GET | MCP server discovery |
Give your agent a council
Four AI models. One synthesized answer. Native integration with Claude Code, Cursor, LangChain, and more.