Right Reasons
@Right-Reasons
About Right Reasons
Structured business ontology giving AI agents deterministic access to institutional reasoning — 18 MCP tools, Dolt backend, 0% → 100% "why?" recall vs Markdown+RAG.
Config
Add this server to your MCP-compatible client using the configuration below.
{
"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"
}
}
}
}Tools
No tools detected
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Overview
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
FAQ from Right Reasons
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.
Frequently asked questions
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.
Basic information
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