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Right Reasons MCP Server

@Right-Reasons

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

Right-Reasons

提交者

martinarva

关于 Right Reasons MCP Server

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 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "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 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

1

What is the architecture of Right Reasons?

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

2

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%.

3

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.

4

Where is the ontology data stored?

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

5

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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