zaharajabeen13-create/ai-rete-rag-mcp

Overview

MCP server for ai·rete·rag, a system that combines deterministic rule-based decisions with RAG-powered explanations. It exposes this functionality through the Model Context Protocol, allowing integration with compatible clients.

Best for

Best for
Developers building deterministic decision systems with explainable RAG context

Use cases

• Integrate deterministic rule-based decision logic with RAG-generated explanations
• Expose ai·rete·rag capabilities to MCP-compatible applications
• Build decision systems that provide contextual reasoning for rule outcomes

How to use

Install

pip install ai-rete-rag-mcp         # from PyPI

Tools exposed

• list_rules
• get_rule_source
• import_policy_rules
• put_rules
• ingest_text
• list_documents
• get_usage
• AI_RETE_RAG_API_KEY
• AI_RETE_RAG_API_URL

Tested with

Claude Desktop, Claude Code

Notes

MCP server for ai·rete·rag, a system that combines deterministic rule-based decisions with RAG-powered explanations. It exposes this functionality through the Model Context Protocol, allowing integration with compatible clients.

0 stars on GitHub. Last updated 2026-08-23. Licensed MIT.

Use cases

• Integrate deterministic rule-based decision logic with RAG-generated explanations
• Expose ai·rete·rag capabilities to MCP-compatible applications
• Build decision systems that provide contextual reasoning for rule outcomes

Pros

• Deterministic rule-based decisions ensure consistent behavior
• RAG-powered explanations add context to decision outcomes
• Python-based MCP server fits common developer workflows

Cons

• No stars or community traction yet, indicating early stage
• Limited documentation or usage examples available
• Requires setup of both rule engine and RAG components

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.