Make AI Consensus a standing review layer for your coding agent — Claude, GPT and Gemini answer independently, cross-examine each other, and return
Make AI Consensus a standing review layer for your coding agent — Claude, GPT and Gemini answer independently, cross-examine each other, and return one
Make AI Consensus a standing part of your development model. Your coding agent — Claude Code, Cursor, Cline, any MCP client — routes every decision of consequence through three frontier AIs (Claude, GPT, Gemini) that answer independently, then cross-examine each other, and return one recommendation plus the strongest dissent. You keep working inside your agent; the panel reviews as you go.
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Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| consult_ai_consensus | route a decision/task through the panel and wait for the result (a few minutes). |
| check_ai_consensus_connection | zero-cost setup check (reachability, key accepted, provider keys present). |
| cancel_ai_consensus_run | stop a run. |
{
"mcpServers": {
"ai-consensus": {
"command": "npx",
"args": [
"-y",
"ai-consensus-connector"
],
"env": {
"AI_CONSENSUS_API_KEY": "YOUR_AI_CONSENSUS_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| AI_CONSENSUS_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
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