Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
Description from the maker (original English)
Deterministic rule-engine decisions with document-grounded explanations, rules and usage tools.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"ruleverdict": {
"command": "npx",
"args": [
"-y",
"@reneturcios/ruleverdict",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add ruleverdict -- npx -y @reneturcios/ruleverdict mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"ruleverdict": {
"command": "npx",
"args": [
"-y",
"@reneturcios/ruleverdict",
"mcp"
]
}
}
}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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"ruleverdict": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/ruleverdict",
"mcp"
]
}
}
}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.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
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 7, 2026
The registry name was verified with the GitHub account CloudCorpRecords, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.1.0) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
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
Agent-Native Google Calendar - manage events, sync, and public booking
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Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
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.
Ask a rule engine, not a guess. ruleverdict is a small client for the ai-rete-rag service, which decides cases with deterministic rules instead of free-form model output: you pass structured facts and/or free text for a domain, and the verdict comes from that domain's rule set, explained with the documents the rules rest on.
Alongside deciding, it covers the full life of a domain: see which facts the rules need, inspect the rules themselves, pull them down as editable YAML, draft new rules from a written policy (each draft cites the sentence it encodes, and nothing is saved until you say so), publish a replacement rule set, feed policy text into the knowledge base, and watch the monthly decision quota. Responses come back exactly as the service returned them: nothing is trimmed, renamed or summarised on the way through.
Two environment variables control the client:
AI_RETE_RAG_API_KEY (optional) — when set, it is sent on every request as Authorization: Bearer . Leaving it unset is not an error: shared demo domains work keyless, and enforcement problems such as a missing domain claim or an exhausted quota surface from the API as errors rather than failing locally.AI_RETE_RAG_API_URL (optional) — API base URL. Defaults to https://ai-rete-rag.com (see "Endpoint provenance" below).decide — make a decision in a domain from structured facts and/or free text; the verdict comes from the rule engine, with a document-grounded explanation. Optional: as_of (a date the decision is evaluated at), fact_sources (where each fact came from), and the retrieval-mode flags pattern_01 (Pattern 01: rules-scope retrieval) and pattern_02 (Pattern 02: retrieval into working memory). Typical call: decide(domain="loan", facts={...}).get_parameters — the facts a domain's rules decide on, most decisive first: what to collect before calling decide.list_rules — inspect a domain's rules: conditions, verdicts, salience and 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.put_rules — create or replace a domain's rule set from YAML; pass dry_run to validate without saving.ingest_text — add policy text to a domain's knowledge base, optionally with effective_from / effective_until dates or a supersedes pointer to the version it replaces.list_documents — browse a domain's ingested documents.get_usage — check your plan and remaining monthly decision quota.Unset optional arguments are omitted from requests entirely. An upstream non-2xx reply fails with ai-rete-rag error: HTTP and an unreachable API with ai-rete-rag unreachable.
The original project's README pins the nine tools, the worked decide example, the Pattern 01 / Pattern 02 modes, both environment variable names, the optional-key behaviour, and the dry-run / nothing-saved workflow semantics — but not the request paths. Those are reconstructions, labelled as such:
POST /api/decide with the arguments as the JSON body (used by decide).GET /api/domains/{domain}/parameters (used by get_parameters).GET /api/domains/{domain}/rules (used by list_rules).GET /api/domains/{domain}/rules/source (used by get_rule_source).POST /api/domains/{domain}/rules/import with body {"text": "..."} (used by import_policy_rules).PUT /api/domains/{domain}/rules with body {"rules": "...", "dry_run": ...} (used by put_rules).POST /api/domains/{domain}/documents with body {"text": "...", ...} (used by ingest_text).GET /api/domains/{domain}/documents (used by list_documents).GET /api/usage (used by get_usage).Domain path segments are URL-encoded.
Each tool is a subcommand taking one JSON argument string:
npx @reneturcios/ruleverdict decide '{"domain":"loan","facts":{"income":85000}}'
npx @reneturcios/ruleverdict get_parameters '{"domain":"loan"}' npx @reneturcios/ruleverdict list_rules '{"domain":"loan"}' npx @reneturcios/ruleverdict get_rule_source '{"domain":"loan"}' npx @reneturcios/ruleverdict import_policy_rules '{"domain":"loan","text":"Loans need verified income."}' npx @reneturcios/ruleverdict put_rules '{"domain":"loan","rules":"rules: []","dry_run":true}' npx @reneturcios/ruleverdict ingest_text '{"domain":"loan","text":"Policy text"}' npx @reneturcios/ruleverdict list_documents '{"domain":"loan"}' npx @reneturcios/ruleverdict get_usage '{}' npx @reneturcios/ruleverdict --version
Output is the tool's result text (the upstream body on success). Exit codes: 0 on success, 1 on a runtime error, 2 on a usage error.
npx -y @reneturcios/ruleverdict mcp
MCP client config (the key is optional; provide it through the client's environment when you have one):
{
"mcpServers": { "ruleverdict": { "command": "npx", "args": ["-y", "@reneturcios/ruleverdict", "mcp"], "env": { "AI_RETE_RAG_API_KEY": " " } } } }
docker run -i ghcr.io/cloudcorprecords/ruleverdict
docker run --rm ghcr.io/cloudcorprecords/ruleverdict get_usage '{}'
npm install
npm run build # tsc -> dist/ npm test # tsx --test test/*.test.ts (fake fetch only, no network) npm run dev # run the CLI from source
MIT — Copyright (c) 2026 Rene Turcios