ai·rete·rag MCP Server

Use ai·rete·rag — deterministic rule-based decisions with RAG-powered explanations — from Claude Code, Claude Desktop, or any MCP client.

The verdict always comes from the Rete rule engine (auditable, reproducible); the LLM only explains why, grounded in your ingested policy documents.

Tools

Tool	What it does
`decide`	Make a decision in a domain — structured facts and/or free text, with optional Pattern 01 (rules scope retrieval) and Pattern 02 (retrieval into working memory)
`list_rules`	Inspect a domain's rules — conditions, verdicts, salience, overlaps
`get_rule_source`	Fetch a domain's rule set as editable YAML
`import_policy_rules`	Turn a written policy document into draft rules, each citing the sentence it encodes (nothing is saved — review, then `put_rules`)
`put_rules`	Create or replace a domain's rule set from YAML (dry_run to validate)
`ingest_text`	Add policy text to a domain's knowledge base
`list_documents`	Browse a domain's ingested documents
`get_usage`	Check your plan and remaining monthly decision quota

Connect by URL (no install)

The server is also hosted, which is the only route for clients that connect to a URL and have no field for a static header — claude.ai and Claude Desktop custom connectors, in particular.

URL	Auth	Reaches
`https://ai-rete-rag.com/mcp/auth`	Sign in with Google, once, in the browser	Your account — your domains, your plan quota
`https://ai-rete-rag.com/mcp`	None, or `Authorization: Bearer ik_...`	Shared demo domains anonymously; your account with a key

Add https://ai-rete-rag.com/mcp/auth as a custom connector and approve the prompt. Connections are listed under Settings → Connected apps, and disconnecting one takes effect immediately.

Install

No install needed with uv — uvx ai-rete-rag-mcp fetches and runs the server on demand (see the config snippets below).

Alternatively, install it as a package:

Terminal

pip install ai-rete-rag-mcp         # from PyPI
pip install .                       # or from source, in this repo

Configure

First create an API key: sign in at ai-rete-rag.com, open Settings → API Keys, and create a key (ik_... — shown once).

Claude Code

Terminal

claude mcp add ai-rete-rag -e AI_RETE_RAG_API_KEY=ik_your-key-here -- uvx ai-rete-rag-mcp

(If you installed via pip, use -- ai-rete-rag-mcp instead of -- uvx ai-rete-rag-mcp.)

Or skip the install entirely and point it at the hosted endpoint with your key:

Terminal

claude mcp add --transport http ai-rete-rag https://ai-rete-rag.com/mcp \
  --header "Authorization: Bearer ik_your-key-here"

Claude Desktop / other clients (JSON)

config.json

{
  "mcpServers": {
    "ai-rete-rag": {
      "command": "uvx",
      "args": ["ai-rete-rag-mcp"],
      "env": {
        "AI_RETE_RAG_API_KEY": "ik_your-key-here"
      }
    }
  }
}

(With a pip install, set "command": "ai-rete-rag-mcp" and drop "args".)

Environment variables:

Variable	Default	Purpose
`AI_RETE_RAG_API_KEY`	(none)	Your API key — authenticates calls and ties them to your plan quota
`AI_RETE_RAG_API_URL`	`https://ai-rete-rag.com`	API base URL — point at `http://localhost:8000` for local dev

Without a key you can still explore the shared demo domains (loan, fraud, clinical, …) subject to free-tier limits.

Example

"Use ai·rete·rag to decide whether this loan application should be approved: credit score 645, annual income $52k, requested amount $30k."

Claude calls decide(domain="loan", facts={...}) and returns the rule-derived verdict plus a plain-English explanation citing the underwriting policy.