Right Reasons MCP Server

@Right-Reasons

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

Right-Reasons

投稿者

martinarva

Right Reasons MCP Server について

Structured business ontology giving AI agents deterministic access to institutional reasoning — 18 MCP tools, Dolt backend, 0% → 100% "why?" recall vs Markdown+RAG.

#ai-agents #mcp #ontology #knowledge-graph#dolt#business-reasoning#institutional-reasoning#versioned-data

Right Reasons 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": {
    "right-reasons": {
      "command": "/path/to/mcp-server/.venv/bin/right-reasons-mcp",
      "env": {
        "RR_DOLT_HOST": "127.0.0.1",
        "RR_DOLT_PORT": "3307",
        "RR_DOLT_DATABASE": "right_reasons"
      }
    }
  }
}

Right Reasons 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 Right Reasons?

Right Reasons is a structured business ontology that gives AI agents deterministic access to institutional reasoning. It integrates Dolt (versioned SQL) as the data store and uses a Python/FastMCP server to connect any AI agent via the Model Context Protocol.

How to use Right Reasons?

Deploy the Right Reasons MCP server from its GitHub repository, connect it to a Dolt database, and configure your AI agent to use the server’s 18 MCP tools. No explicit installation or configuration steps are provided in the README beyond the architecture.

Key features of Right Reasons

18 MCP tools: 9 query, 4 mutation, 3 OPS contracts, 2 Dolt
Entity recall +90% vs Markdown+RAG
“Why?” question recall: 0% → 100%
Reasoning quality improvement: +121%
Deterministic access to institutional reasoning
Versioned SQL via Dolt

Use cases of Right Reasons

Querying a structured business ontology for accurate entity retrieval
Answering “why” questions with deterministic, institutional reasoning
Enhancing AI agent reasoning with formalized business logic
Version-controlled management of business knowledge

よくある質問

What is the architecture of Right Reasons?

The system follows a three‑tier pipeline: Dolt (versioned SQL) → MCP Server (Python/FastMCP) → Any AI agent.

How does Right Reasons compare to Markdown+RAG?

Right Reasons achieves +90% entity recall and 100% recall for “why” questions, versus 0% for Markdown+RAG. Reasoning quality improves by +121%.

How many MCP tools does Right Reasons provide?

It provides 18 MCP tools: 9 query tools, 4 mutation tools, 3 OPS contracts, and 2 Dolt tools.

Where is the ontology data stored?

Data is stored in a Dolt versioned SQL database, enabling deterministic, version‑controlled access.

What runtime dependencies does the server require?

The server is built with Python and FastMCP. Dolt is required as the database layer. No other runtime dependencies are mentioned.

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