Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

Shikamaru

by JayOfemiversion 1.1.1i★ –iRuns on your computer
Registry nameio.github.JayOfemi/shikamaru

Install

Overview

Description from the maker (original English)

Provably correct day-count, calendar, business-day, and schedule math, verified against QuantLib.

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: Runs on your computer
  • Transport: stdio
  • Category: Docs, sheets & office work

Install

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

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

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

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

{
  "mcpServers": {
    "shikamaru": {
      "command": "npx",
      "args": [
        "-y",
        "@jayofemi/shikamaru"
      ]
    }
  }
}

Run this in your terminal

claude mcp add shikamaru -- npx -y @jayofemi/shikamaru

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "shikamaru": {
      "command": "npx",
      "args": [
        "-y",
        "@jayofemi/shikamaru"
      ]
    }
  }
}

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": {
    "shikamaru": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@jayofemi/shikamaru"
      ]
    }
  }
}

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 one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

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

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

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

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 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account JayOfemi, which owns the repo

  • … 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

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Docs, sheets & office worki

  • More stars than 0% of the other 2186 servers in this category
  • Published to the registry more recently than 13% of the other 2186 servers in this category
  • Basic checks equal to or better than 100% of the other 2186 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 Shikamaru safe?

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.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.1.1) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

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

Agent-Native Google Calendar - manage events, sync, and public booking

Runs in the cloud★ 7,620MITUpdated 2 months ago
Install

Excel MCP Server

by haris-musa

Lets AI create and edit Excel files itself, including formulas, charts and PivotTables, without Excel installed.

Runs on your computer★ 4,276MITUpdated 6 days ago
Install

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

Runs on your computer★ 847MITUpdated 3 days 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.

shikamaru

Provably correct day-count, holiday-calendar, business-day, and payment-schedule calculations. A small, dependency-light TypeScript library and an MCP server, so an AI agent can get the exact date or number instead of guessing.

Why

LLMs are unreliable at date and money math: they pick the wrong day-count convention, forget market holidays, and miscompute accrued interest. shikamaru does it deterministically and proves it against published reference values. Do not let a model guess your interest accrual or your settlement date.

What it does

  • Day-count fraction between two dates under seven market conventions: 30/360, 30E/360, 30E/360 ISDA, ACT/360, ACT/365F, ACT/ACT ISDA, ACT/ACT ICMA (with reference periods and stub decomposition).
  • Simple accrued interest: notional x rate x day-count fraction.
  • Holiday calendars as rules in code, no data feed: us-federal, nyse, sifma-us, target, uk.
  • Business-day math: is-business-day, next/previous, ISDA adjustment conventions (following, modified-following, preceding, modified-preceding), T+N settlement.
  • Payment schedules: monthly to annual, backward or forward roll, short or long stubs, end-of-month rule, per-period unadjusted and adjusted dates.
  • All of it exposed as a library and as an MCP server.
  • Every MCP tool is annotated read-only and returns structured output (typed JSON under an output schema) alongside the plain-text result, so an agent client can consume the numbers without parsing text.
Calendar maintenance contract

Calendars are published rules plus a short pinned table of historical one-off closures, current as of this version. Rules generate correct dates arbitrarily far forward; one-off closures (a mourning day, a proclaimed extra holiday) are added when announced and ship in a patch release. A scheduled CI run re-checks every calendar against the latest QuantLib weekly, so drift is detected, not discovered.

Install

npm install @jayofemi/shikamaru

Library usage

import {

accruedInterest, addBusinessDays, adjustDate, dayCountFraction, generateSchedule, isBusinessDay, } from "@jayofemi/shikamaru";

dayCountFraction("2003-11-01", "2004-05-01", "ACT/ACT ISDA"); // 0.4977... accruedInterest({ notional: 1_000_000, rate: 0.05, start: "2024-01-01", end: "2024-04-01", convention: "ACT/365F", });

isBusinessDay("2024-06-19", "nyse"); // false (Juneteenth) adjustDate("2024-03-29", "modified-following", "target"); // "2024-03-28" (Good Friday, stays in March) addBusinessDays("2024-07-02", 2, "us-federal"); // "2024-07-05" (T+2 over July 4th)

generateSchedule({ effective: "2024-01-15", termination: "2026-01-15", frequency: "semiannual", calendar: "target", }); // four periods with unadjusted and adjusted dates

Dates are strict ISO YYYY-MM-DD. Rate is an annual decimal (0.05 = 5%).

MCP server

From source (local dev):

npm install

npm run build node dist/cli.js

Or launch the published package directly:

npx @jayofemi/shikamaru

Point any MCP client (Claude Desktop, an IDE, etc.) at that command over stdio.

Claude Code users can also install it as a plugin, which registers the MCP server automatically:

/plugin marketplace add JayOfemi/shikamaru

/plugin install shikamaru@shikamaru

Verify the MCP server

The test suite exercises the server end to end in memory, covering tool listing, read-only annotations, structured output against each output schema, and a call to every tool. For an interactive check, use the official MCP Inspector:

npm run build

npx @modelcontextprotocol/inspector node dist/cli.js

It opens a local UI, connects over stdio, lists the tools, and lets you call them. Sanity check: day_count_fraction with start 2003-11-01, end 2004-05-01, convention ACT/ACT ISDA returns about 0.4977.

Correctness

Conventions follow the ISDA 2006 definitions; calendars follow their published sources (OPM, NYSE rules, SIFMA recommendations, ECB TARGET rules, gov.uk proclamations). The test suite checks published reference vectors (ISDA worked examples, official holiday lists, the OpenGamma conventions guide), property checks, and differential batteries against QuantLib, the de-facto reference: day-count fractions, full per-calendar holiday lists across decades, business-day adjustment and advancing, schedules compared date by date, and ACT/ACT ICMA fractions including stubs.

To (re)generate the QuantLib batteries (needs Python + pip):

pip install QuantLib

npm run vectors

This writes test/vectors/quantlib.json and test/vectors/quantlib-calendar.json (commit both). npm test then checks shikamaru against every QuantLib value. CI regenerates the batteries from the latest QuantLib on every push AND on a weekly schedule (the drift watchdog), so a real-world calendar change surfaces as a red run even when the repo is quiet. The proof is the product.

Develop

npm install

npm run build npm test

License

MIT. Copyright (c) 2026 Jay Ofemi.

Ask PopNx