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Chain Of Recursive Thoughts (cort) MCP Server

@KunihiroS

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基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

KunihiroS

投稿者

Kunihiro Sugiyama

Chain Of Recursive Thoughts (cort) MCP Server について

This is a Chain-of-Recursive-Thoughts (CORT) MCP server.

#cort#recursive-thoughts#mcp-server

Chain Of Recursive Thoughts (cort) MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "CoRT-chain-of-recursive-thinking": {
      "command": "pipx",
      "args": [
        "run",
        "cort-mcp",
        "--log=off"
      ],
      "env": {
        "OPENAI_API_KEY": "{apikey}",
        "OPENROUTER_API_KEY": "{apikey}"
      }
    }
  }
}

Chain Of Recursive Thoughts (cort) MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Chain Of Recursive Thoughts (cort) Mcp Server?

Chain Of Recursive Thoughts (cort) Mcp Server is a Model Context Protocol server that implements the Chain-of-Recursive-Thoughts method, making an AI think harder by making it argue with itself repeatedly. It integrates with OpenRouter and optionally OpenAI APIs, and is intended for use with MCP hosts such as Roo Code or Cline.

How to use Chain Of Recursive Thoughts (cort) Mcp Server?

Configure it in your MCP host using pipx run cort-mcp with environment variables OPENAI_API_KEY and OPENROUTER_API_KEY. Optional logging flags --log=on/off and --logfile can be set. A 300-second timeout is recommended because responses may take longer than expected.

Key features of Chain Of Recursive Thoughts (cort) Mcp Server

  • CoRT method: AI repeatedly argues with itself to deepen reasoning.
  • Multi LLM inference: randomly selects different model/provider per alternative.
  • Enhanced evaluation prompt that asks AI to explain its reasoning.
  • Tools: {toolname}.simple, .details, .mixed.llm, .neweval.
  • Fallback processing: auto-retries with OpenAI if OpenRouter call fails (conditions apply).

Use cases of Chain Of Recursive Thoughts (cort) Mcp Server

  • Enhancing AI reasoning for complex or ambiguous problem-solving tasks.
  • Exploring diverse perspectives by mixing multiple LLM providers.
  • Debugging reasoning flows with detailed response history logging.
  • Implementing recursive self-critique in MCP‑based AI agents.

よくある質問

1

How does the CoRT process work?

The server determines 1–5 thinking rounds, creates an initial response, then in each round generates three alternatives at temperatures 0.7, 0.8, 0.9 and evaluates them at temperature 0.2 to select the best response.

2

What API keys are required?

`OPENROUTER_API_KEY` is required to use OpenRouter. `OPENAI_API_KEY` is needed only when using OpenAI models or utilizing the fallback feature.

3

What logging options are available?

Set `--log=off` to disable all logging, or `--log=on --logfile=/absolute/path` to enable logging to a file. Both flags are required when logging is enabled.

4

What models are used in multi‑LLM mode?

A fixed list includes `gpt-4.1-nano`, `meta-llama/llama-4-scout:free`, `google/gemini-2.0-flash-exp:free`, `mistralai/mistral-small-3.1-24b-instruct:free`, `meta-llama/llama-3.2-3b-instruct:free`, and `thudm/glm-4-9b:free`.

5

What happens if an API call fails?

If the first API call to a non‑OpenAI provider fails and `OPENAI_API_KEY` is set, the server automatically retries with the default OpenAI model. Otherwise, the original error is returned.

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