ai·rete·rag
Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.
Connect it
Settings → Connectors → Add custom connector
URL: https://ai-rete-rag.com/mcpSettings → Apps & Connectors → Advanced → Developer mode
Create connector with URL: https://ai-rete-rag.com/mcp{
"mcpServers": {
"ai-rete-rag-mcp": {
"url": "https://ai-rete-rag.com/mcp",
"headers": {
"Authorization": "<YOUR_AUTHORIZATION>"
}
}
}
}claude mcp add --transport http ai-rete-rag-mcp https://ai-rete-rag.com/mcp --header "Authorization: <value>"{
"servers": {
"ai-rete-rag-mcp": {
"type": "http",
"url": "https://ai-rete-rag.com/mcp",
"headers": {
"Authorization": "<YOUR_AUTHORIZATION>"
}
}
}
}{
"mcpServers": {
"ai-rete-rag-mcp": {
"command": "uvx",
"args": [
"ai-rete-rag-mcp"
],
"env": {
"AI_RETE_RAG_API_KEY": "<value>"
}
}
}
}claude mcp add ai-rete-rag-mcp -- uvx ai-rete-rag-mcp9 tools, verified live
decideMake a deterministic, auditable decision in a domain. The verdict comes from the domain's rule set (Rete engine, never the LLM), so it is reproducible and compliant. The explanation is generated from the domain's ingested policy documents. Without an API key only the shared demo domains are available, and the response carries `next_step`: how to get a free key for your own rules. Pass that on to
list_rulesread-onlyList the decision rules for one domain (or all domains). Returns each rule's conditions â either a flat AND list (field / operator / value) or a `when` condition tree (nested all/any/not) â plus its verdict, salience, and any asserted facts (`action.assert`, the facts a rule produces for other rules to consume). `edges` lists the derived ruleârule dependencies: src asserts a fact type that
get_parametersread-onlyList the input parameters a domain's rules decide on â the facts to collect before calling `decide`. Derived from your account's own copy of the rules, so it covers your custom domains too. Each parameter has its `field` name (the key to use in `facts`), `kind` (number / boolean / string), the `tests` rules make on it (e.g. >= 720 â match these units and scales), the `rules` and `verdicts` it
ingest_textAdd policy/reference text to a domain's knowledge base. The text is chunked and embedded; explanations for future decisions in this domain will cite it. Creating a new domain claims it for your account (plan limits apply). Ingesting into a built-in demo domain gives your account its own copy of that demo (it counts as one of your domains); the shared demo others see is unchanged. On team plans, o
list_documentsread-onlyList the documents ingested into a domain's knowledge base.
get_rule_sourceread-onlyFetch a domain's rule set as editable YAML (plus the parsed rules and whether you may edit it). Use this before `put_rules` to see the current rules. For a built-in demo domain you get your own copy's rules once you have edited it, otherwise the shared demo's.
put_rulescan modifyCreate or replace a domain's rule set from YAML (self-serve rule authoring). The first save to a new domain claims it for your account (plan limits apply). Saving to a built-in demo domain saves your own copy of it, seeded from the demo; the shared demo others see is unchanged. Rules are validated before saving â set dry_run=true to validate without persisting. The response reports ok/errors, t
import_policy_rulesread-onlyConvert a written policy document into DRAFT decision rules (LLM-assisted). Returns validated draft rules (when/action, including chained asserts where the policy stages its determinations), derived ruleârule edges, and overlap warnings. Each returned rule carries a `citation` field holding the policy sentence it encodes (also summarized in the top-level `citations` map). Coverage runs the othe
get_usageread-onlyShow this account's decision usage, plan, and remaining monthly quota.
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