What models are used in the ensemble?
The ensemble uses Claude (via Anthropic), GPT (via OpenAI), and Gemini (via Google) for the draft and cross‑review rounds. A master model merges the final answer.
@vkrishnav
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Ensemble Mcp is a paid MCP server that sells a multi-model ensemble capability to AI agents. It runs a three-round pipeline where Claude, GPT, and Gemini independently draft answers, cross-review each other’s drafts, and a master model produces a final attributed answer. Agents pay per request in USDC via the x402 protocol on Base.
Deploy the server via Render (one‑click), Fly.io, or locally. Set PAY_TO_ADDRESS and at least one model API key in environment variables. Clients send a POST to /mcp and receive an HTTP 402 Payment Required with a price quote; they must retry with a valid X-PAYMENT header to execute the query.
The ensemble uses Claude (via Anthropic), GPT (via OpenAI), and Gemini (via Google) for the draft and cross‑review rounds. A master model merges the final answer.
Payment is handled by the x402 protocol. The server returns an HTTP 402 Payment Required with a price quote. The client includes a valid `X-PAYMENT` header, and the facilitator verifies and settles the USDC transfer on Base.
The default price is $0.05 per call. Underlying model token costs are approximately $0.01–$0.03 per ensemble run at 2k‑token caps. Pricing can be tuned via `PRICE_USD` and `max_tokens`.
Yes. Deploy options include Render (easiest, one‑click), Fly.io (~$5/month), or any Node server. Local development requires Node, a `.env` file with `PAY_TO_ADDRESS` and at least one model API key.
Yes. Set `X402_NETWORK=base-sepolia` and use the default facilitator. Obtain free testnet USDC from the Circle faucet. Use an x402‑capable client (e.g., `x402-fetch`) pointed at your server’s `/mcp` endpoint.
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