peer-review-mcp

peer-review-mcp

3.2

If you are the rightful owner of peer-review-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

Peer Review MCP is a toolset that enables AI agents to collaborate with other LLMs for assistance or feedback.

Peer Review MCP is designed to facilitate collaboration between AI agents and more capable language models. This toolset allows AI agents to request peer reviews or seek help from expert models when they encounter challenging problems or need to evaluate their plans. By leveraging the expertise of advanced models, AI agents can enhance their problem-solving capabilities and improve the quality of their outputs. The toolset is particularly useful in scenarios where an AI agent's own capabilities are insufficient to tackle complex issues, thereby promoting a collaborative approach to AI problem-solving.

Features

  • Collaboration with expert models for enhanced problem-solving.
  • Request peer reviews for plans and strategies.
  • Seek guidance from expert models when facing challenging problems.
  • Integration with various helper models for diverse expertise.
  • Configurable server setup for seamless operation.

Tools

  1. ask-expert-for-peer-review

    Ask an expert to peer review your plan. Provide the problem you are working on, and your detailed plan as well as any other context.

  2. ask-expert-for-help

    When confronting a challenging problem, seek guidance from an expert. Specify the problem and the issue you are having, as well as any other context.