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Peer Review MCP Server

AI & Memory Remote

Enables querying multiple LLM providers in a weighted quorum to obtain a consensus answer with a certainty score. Supports cost tiers, visible degradation, and provider-agnostic configurations.

GitHub Docs Glama

How to connect

  1. Glama registry

    View https://glama.ai/mcp/servers/ppeiljv3e3 for deploy options, or install from https://github.com/raydollete/peer-review (see README for MCP config).

  2. GitHub

    Install from https://github.com/raydollete/peer-review and add the server to your MCP client configuration (see repository README).

Tools

Tool names are not listed in our registry for this server. Use Connect or Install above, then open your MCP client to see the live tool list.