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PopNx MCPMCP servers for people who use AI · explained in plain words

ai·rete·rag

by zaharajabeen13-createversion 0.11.0i★ –iComputer or cloud
Registry namecom.ai-rete-rag/ai-rete-rag-mcp

Install

Overview

Description from the maker (original English)

Author rules from policy docs, then decide: a Rete engine gives the verdict, an LLM explains why.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Computer or cloud
  • Transport: stdio, Streamable HTTP
  • Category: Search & AI memory
  • You need to fill in: AI_RETE_RAG_API_KEY, Authorization

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 3 of 3 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • Can do 9 things (tools) decide, list_rules, get_parameters, ingest_text …
  • You fill in yourself: AI_RETE_RAG_API_KEY, AI_RETE_RAG_API_URL, Authorization

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

  • Runs in the cloudNothing to install; it connects over the internet
  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Or run it on your computer

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "ai-rete-rag": {
      "command": "uvx",
      "args": [
        "ai-rete-rag-mcp"
      ],
      "env": {
        "AI_RETE_RAG_API_KEY": "your-value",
        "AI_RETE_RAG_API_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add --transport http ai-rete-rag https://ai-rete-rag.com/mcp --header 'Authorization: your-value'

Or run it on your computer

claude mcp add ai-rete-rag --env AI_RETE_RAG_API_KEY=your-value --env AI_RETE_RAG_API_URL=your-value -- uvx ai-rete-rag-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "ai-rete-rag": {
      "url": "https://ai-rete-rag.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "ai-rete-rag": {
      "command": "uvx",
      "args": [
        "ai-rete-rag-mcp"
      ],
      "env": {
        "AI_RETE_RAG_API_KEY": "your-value",
        "AI_RETE_RAG_API_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ai-rete-rag": {
      "type": "http",
      "url": "https://ai-rete-rag.com/mcp",
      "headers": {
        "Authorization": "your-value"
      }
    }
  }
}

Or run it on your computer

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "ai-rete-rag": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "ai-rete-rag-mcp"
      ],
      "env": {
        "AI_RETE_RAG_API_KEY": "your-value",
        "AI_RETE_RAG_API_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This address needs a key in a request header, which the add-connector menu cannot set. Use Claude Code, Cursor or VS Code instead.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

  • AI_RETE_RAG_API_KEY secret required env
    Your ai·rete·rag API key (create one at ai-rete-rag.com under Settings -> API Keys). Authenticates calls and ties them to your plan quota.
  • AI_RETE_RAG_API_URL env
    API base URL. Defaults to https://ai-rete-rag.com; override for local development.
  • Authorization secret HTTP header
    Bearer (ik_...), created at ai-rete-rag.com under Settings -> API Keys. Optional: without it the shared demo domains are still available.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Tool names and descriptions exactly as the server reported them on Nov 7, 2026. The maker wrote them, not us; we show them as plain text.

  • decide

    Make 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

  • list_rules

    List the decision rules for one domain (or all domains). Returns each rule's conditions — either a flat AND list (field / operator / value) or a `when` condition tree (nested all/any/not) — plus its verdict, salience, and any asserted facts (`action.assert`, the facts a rule prod

  • get_parameters

    List the input parameters a domain's rules decide on — 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

  • ingest_text

    Add 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

  • list_documents

    List the documents ingested into a domain's knowledge base.

  • get_rule_source

    Fetch 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_rules

    Create 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. R

  • import_policy_rules

    Convert 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 rule→rule edges, and overlap warnings. Each returned rule carries a `citation` fi

  • get_usage

    Show this account's decision usage, plan, and remaining monthly quota.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified against the domain ai-rete-rag.com (the registry checks domain ownership)

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • ✓ Pass

    Endpoint responds

    Responded in 328 ms (HTTP 200)

  • – Not applicable

    Sign-in with OAuth

    No sign-in needed

  • ✓ Pass

    No hidden instructions in tool descriptions

    Read 9 tool descriptions and found no hidden instructions to the AI

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5668 servers in this category
  • Published to the registry more recently than 66% of the other 5668 servers in this category
  • Basic checks equal to or better than 100% of the other 5668 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is ai·rete·rag safe?

It passed 3 of 3 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: AI_RETE_RAG_API_KEY, Authorization

Does it run on my computer or in the cloud?

Either way works: install it on your computer or connect to the cloud version.

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.11.0) reached the registry 21 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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

ToolWhat it does
decideMake 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). as_of reads the policy documents in force on an earlier day
get_parametersThe facts a domain's rules decide on (from your account's own rules), most decisive first — what to collect before decide
list_rulesInspect a domain's rules — conditions, verdicts, salience, overlaps
get_rule_sourceFetch a domain's rule set as editable YAML
import_policy_rulesTurn a written policy document into draft rules, each citing the sentence it encodes (nothing is saved — review, then put_rules)
put_rulesCreate or replace a domain's rule set from YAML (dry_run to validate)
ingest_textAdd policy text to a domain's knowledge base, optionally dated (effective_from, effective_until) or replacing an earlier version (supersedes)
list_documentsBrowse a domain's ingested documents
get_usageCheck your plan and remaining monthly decision quota

Prompt: decide_case

An agent workflow for deciding a case in any domain on your account, including your own: it calls get_parameters to learn which facts the rules decide on, reads the case — text, photos, document scans, voice notes or video (the agent reads the media itself; the API only receives the facts) — maps it onto those exact fields, calls decide with fact_sources recording which file each fact came from (kept in the decision's audit trail), and — while the result's missing_parameters is non-empty (facts that could still change the verdict) — asks you for them, most decisive first, and decides again. The verdict always comes from the rules.

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.

URLAuthReaches
https://ai-rete-rag.com/mcp/authSign in with Google, once, in the browserYour account — your domains, your plan quota
https://ai-rete-rag.com/mcpNone, 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:

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
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:

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)
{

"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:

VariableDefaultPurpose
AI_RETE_RAG_API_KEY*(none)*Your API key — authenticates calls and ties them to your plan quota
AI_RETE_RAG_API_URLhttps://ai-rete-rag.comAPI 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.

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