Power your agent
คำสั่งของผู้เผยแพร่เอง ไม่ใช่เอนด์พอยต์ของ PlugMCP
Host a copy with our keys and logs.
npx -y [email protected]Claude Code ไม่มีลิงก์ติดตั้งสำหรับคำสั่งแบบโลคัล ให้คัดลอกคำสั่งด้านล่างแล้วรันในเทอร์มินัล
AI_CONSENSUS_API_KEY=<secret> claude mcp add io.github.thestevenjohnstone-ai-consensus -- npx -y ai-consensus-connector@0.12.2รันในเทอร์มินัล
{ "mcpServers": { "io.github.thestevenjohnstone-ai-consensus": { "command": "npx", "args": [ "-y", "[email protected]" ], "env": { "AI_CONSENSUS_API_KEY": "<secret>" } } }}claude_desktop_config.json
URL แบบรีโมตหรือคำสั่งบนเครื่องของคุณ? การติดตั้งสองแบบต่างกันอย่างไร
รันบน PlugMCP
A new server you create. It is not this listing's official endpoint. Use the publisher install when you want their URL and their credentials.
เปิดจากผู้เผยแพร่
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.
Standing review layer for coding agents: Claude, GPT and Gemini debate, return consensus + dissent.
This is not a tool you reach for occasionally. It's a review layer you switch on once, and from then on everything that matters gets debated by three independent models before it ships. (Honest bill: a run takes a few minutes and, on the bring-your-own-keys plan, costs roughly $0.40–$1 of your own provider tokens.)
Get an API key: sign in at https://ai-consensus.ai → Developer API → create a key (copy it; it's shown once).
Add the connector:
claude mcp add ai-consensus --scope user \
--env AI_CONSENSUS_API_KEY=aic_live_your_key_here \
-- npx -y ai-consensus-connector
(Self-hosting? add --env AI_CONSENSUS_API_URL=https://your-instance.)
Verify it's connected (free — no run is started):
"Use the check_ai_consensus_connection tool."
Make it your standing rule — add to your project's CLAUDE.md:
STANDING RULE: This project develops with AI Consensus as its review layer.
Route every decision of consequence — architecture, design, implementation
approach, tricky bugs, anything whose cost of being wrong is real — through
consult_ai_consensus as a matter of course, and weigh its recommendation and
strongest dissent before acting. Purely mechanical edits (formatting, typos,
exact instructed changes) don't need a run. When in doubt, consult.
Teams that want everything routed can use the strict variant instead:
STRICT MODE: Consult consult_ai_consensus before every non-trivial change of
any kind, and weigh the dissent before acting.
Add a stdio MCP server with command npx -y ai-consensus-connector and the
AI_CONSENSUS_API_KEY environment variable. For Cursor, in mcp.json:
{
"mcpServers": {
"ai-consensus": {
"command": "npx",
"args": ["-y", "ai-consensus-connector"],
"env": { "AI_CONSENSUS_API_KEY": "aic_live_your_key_here" }
}
}
}
Then put the standing rule in your project's agent rules file (.cursorrules,
.clinerules, etc.).
consult_ai_consensus — route a decision/task through the panel and wait for the result (a few minutes).start_ai_consensus / get_ai_consensus_result — fire-and-forget + collect later.check_ai_consensus_connection — zero-cost setup check (reachability, key accepted, provider keys present).cancel_ai_consensus_run — stop a run.Your key authenticates to your account and bills your plan (unlimited on your
own keys, or prepaid credits). Keep it secret — and note that pasting the
--env form above stores the key in your shell history; use your client's
config file if that concerns you.
This connector is open source under the MIT license. It is a thin client for the paid, hosted AI Consensus service — you bring your own AI Consensus API key; the deliberation engine itself runs on our servers and is not part of this repository. The MIT license covers this connector's code only and grants no rights to the AI Consensus name or branding.
Support boundary: connector bugs and setup issues → GitHub issues; account, API-key or billing questions → [email protected].
Standing review layer for coding agents: Claude, GPT and Gemini debate, return consensus + dissent.
{ "mcpServers": { "io.github.thestevenjohnstone-ai-consensus": { "command": "npx", "args": [ "-y", "[email protected]" ], "env": { "AI_CONSENSUS_API_KEY": "<secret>" } } }}เครื่องมือ
ยังไม่มีรายการเครื่องมือ เซิร์ฟเวอร์แบบรีโมตจะได้รายการหลังการตรวจสอบสถานะครั้งแรก
FAQ
คัดลอกคอนฟิก stdio สำหรับ Cursor, Claude Desktop, Claude Code หรือ VS Code ได้ในหน้านี้ คอนฟิกนี้ใช้การติดตั้งของผู้เผยแพร่ ไม่ใช่พร็อกซีของ PlugMCP
ผู้เผยแพร่ระบุตัวแปรสภาพแวดล้อมเหล่านี้: AI_CONSENSUS_API_KEY
Ai Consensus ทำงานแบบโลคัลผ่าน stdio
ตรวจสอบล่าสุดเมื่อ 2026-11-09 Standing review layer for coding agents: Claude, GPT and Gemini debate, return consensus + dissent.