ai·rete·rag
Server Details
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
- Status
- Unhealthy
- OAuth
- Requires browser extension
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- zaharajabeen13-create/ai-rete-rag-mcp
- GitHub Stars
- 0
- Server Listing
- ai-rete-rag
TDQS
Scored across 8 tools
Each tool serves a clearly distinct purpose: decide executes decisions, rule management tools (get_rule_source, list_rules, put_rules) each address different aspects of rule viewing/editing, import_policy_rules handles policy-to-rule drafting, and document tools handle knowledge base content. No two tools are easily confused.
All tool names follow a consistent verb_noun snake_case pattern, e.g., list_rules, get_usage, put_rules, import_policy_rules. The single-verb 'decide' fits naturally as the core action. There is no mixing of styles or unpredictable naming.
With 8 tools, the server is well-scoped for its purpose of rule-based decisioning with RAG support. Each tool represents a distinct capability in the workflow—policy ingestion, rule authoring, knowledge base management, decision execution, and usage monitoring—without excess.
The tool set covers the core lifecycle: ingest policy text, import draft rules, publish rules, list rules/source, and execute decisions. Minor gaps exist such as no explicit delete for documents or rules (though put_rules with empty YAML can effectively clear rules), and domain listing is indirect via list_rules. These are workable omissions.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
8 tool updates
- First observed
decide - First observed
get_rule_source - First observed
get_usage - First observed
import_policy_rules - First observed
ingest_text - First observed
list_documents - First observed
list_rules - First observed
put_rules
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ERDL Guardofficial
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