Skip to main content
ClaudeWave
lonniev avatar
lonniev

optionality-mcp

View on GitHub

Optionality MCP — AI-judged options trading drill. Tollbooth DPYC monetized. FastMCP + React/Vite.

ToolsOfficial Registry0 stars0 forksTypeScriptApache-2.0Updated today
ClaudeWave Trust Score
87/100
Trusted
Passed
  • Open-source license (Apache-2.0)
  • Actively maintained (<30d)
  • Clear description
  • Documented (README)
Last scanned: 8/23/2026
Get started
Method: Clone
Terminal
git clone https://github.com/lonniev/optionality-mcp
1. Clone the repository.
2. Follow the README for installation and usage instructions.
Use cases

Tools overview

# optionality-mcp

[MCP](https://modelcontextprotocol.io/) server and React drill UI for an AI-judged options trading practice game. Built on [FastMCP](https://github.com/jlowin/fastmcp).

Optionality is an instance of a [Tollbooth-DPYC](https://tollbooth-dpyc.com)&trade; service: engagement is monetized with convenient Don't Pester Your Customer&trade; (DPYC&trade;) Bitcoin commerce. Patrons pre-fund a balance over Lightning and play without per-request payment ceremonies. All prices are dynamic and set by the operator &mdash; the Welcome page shows live quotes. Patrons can also enter Tollbooth-DPYC coupons to take advantage of discounts when they are offered.

## How a Round Works

1. **The Dealer deals.** A *dealer* LLM composes a complete options scenario: ticker, spot, IV regime and skew, macro backdrop, catalyst, key levels, and constraints &mdash; optionally including a max-loss budget the structure must fit.
2. **You pitch.** Free text, the way you'd pitch a senior PM. Multi-leg structures, single legs, or a deliberate stand-aside &mdash; declining to trade is a legitimate, gradeable answer.
3. **The Judge grades.** A *judge* LLM parses your pitch into structured legs, scores it across six dimensions, and proposes an alternative structure you can overlay on the risk chart.

**Six judging dimensions:** Strategy Selection, Strikes &amp; Tenor, Risk/Reward, Macro Integration, Tail Risk, and Communication &mdash; each 0&ndash;20, rolled into a 0&ndash;100 score with letter grades A+ through F.

## Core Pedagogy — Red Herrings

Each scenario embeds 1&ndash;2 facts that are factually TRUE but immaterial, woven inline into the narrative and never flagged. Citing them as trade drivers penalizes the trainee; recognizing them as noise and setting them aside earns points. The drill is signal-from-noise on a tape where everything you read is true.

A **Facts Ledger** accompanies every evaluation: which scenario facts you integrated, which you missed, which red herrings you caught, and which you followed.

## Scenario Modes & Difficulty

**Three historicity modes:**

- **Historical Fiction** &mdash; real, identifiable market moments (SVB week, the gilt crisis), grounded in the actual macro and IV regime of the day
- **Fiction** &mdash; invented regimes: counterfactual shocks, de-peg cascades, gamma squeezes
- **Live Events** &mdash; web-search-grounded scenarios anchored to this week's actual tape, with cited sources

**Four difficulty personas:** Apprentice, Journeyman, Adept, Sovereign. Leaderboard points are difficulty-weighted, so rankings can't be padded on easy mode. A **Mulligan** mode replays an already-judged scenario fresh.

## Options Math — One Source of Truth

The server builds the full option chain from the dealer's scaffold &mdash; three expirations, a strike ladder around spot, a three-anchor IV smile honoring put-bid skew &mdash; and prices it with Black&ndash;Scholes. The same math runs client-side, so the trainee, the charts, and the judge all see identical numbers.

- **Option chain modal** in broker convention: calls left, strikes and smile center, puts right; tap a mid to buy or sell; running net-premium readout
- **Risk profile chart** with expiration P/L, breakeven markers, and a DTE slider that replays theta bleed across the holding period
- **Judge-alternative overlay** to compare your payoff curve against the structure the judge would have run

## Socratic Clue Desk

Mid-scenario, ask anything. Educational questions get direct, formula-backed answers; tactical questions get redirected to the dimension worth more thought &mdash; the responsibility stays with the trainee. The desk never reveals the scenario's hidden facts or red herrings. Clues carry a scoring penalty.

## Journal, Leaderboard & Peer Learning

- **Journal** &mdash; every round persisted: open drafts, submitted pitches, full evaluations with leg tables and charts
- **Leaderboard** &mdash; six sort orders (weighted average, weighted best, raw average, raw best, streak, played), filterable by mode and difficulty
- **Streaks** &mdash; consecutive scores of 70+, current and all-time
- **Shared entries** &mdash; opt in to share an evaluated round so others can study the pitch, the grade, and the ledger
- **Profile** &mdash; display name, avatar, bio
- **Usage** &mdash; transparency tab showing per-model token consumption, per-tool spend, and the patron's account statement

## Repo Layout

```
optionality-mcp/
├── server.py    # FastMCP SSE server (Python) → Horizon
├── tools/       # dealer, judge, journal, leaderboard, profile, options chain
├── prompts.py   # dealer / judge / clue-desk personas
└── frontend/    # React 18 + Vite + TS UI → Cloudflare Pages
```

Heavy LLM tools (deal, judge, clue desk) use a claim-check async pattern: the call returns a claim immediately and the client polls a free fetch tool, so slow generations survive client timeouts.

## DPYC Ecosystem

`optionality-mcp` is one Operator in the DPYC federation — independent MCP servers that share a Nostr identity model, Bitcoin Lightning payments, and the `tollbooth-dpyc` SDK. Peer repos:

| Repo | Role |
|---|---|
| [tollbooth-dpyc](https://github.com/lonniev/tollbooth-dpyc) | Python SDK — vault, auth, pricing, Lightning, Nostr identity |
| [dpyc-community](https://github.com/lonniev/dpyc-community) | Governance registry: membership, advisories, threat model |
| [dpyc-oracle](https://github.com/lonniev/dpyc-oracle) | Community concierge (free onboarding + member lookup) |
| [tollbooth-authority](https://github.com/lonniev/tollbooth-authority) | Certification backbone (Schnorr-signed certificates) |
| [tollbooth-sample](https://github.com/lonniev/tollbooth-sample) | Sample Operator (canonical template) |
| [tollbooth-pricing-studio](https://github.com/lonniev/tollbooth-pricing-studio) | iOS pricing-model editor / operator console |
| [cypher-mcp](https://github.com/lonniev/cypher-mcp) | Monetized graph answers: named Cypher templates over Neo4j/AuraDB |
| [schwab-mcp](https://github.com/lonniev/schwab-mcp) | Charles Schwab brokerage data |
| [thebrain-mcp](https://github.com/lonniev/thebrain-mcp) | TheBrain personal knowledge graph |
| [excalibur-mcp](https://github.com/lonniev/excalibur-mcp) | X/Twitter posting |
| [taxsort-mcp](https://github.com/lonniev/taxsort-mcp) | Tax classification + Cloudflare Pages UI |
| [optionality-mcp](https://github.com/lonniev/optionality-mcp) | Options analytics (brokerage-data Operator) |
| [tollbooth-oauth2-collector](https://github.com/lonniev/tollbooth-oauth2-collector) | OAuth2 callback handler (advocate service) |
| [tollbooth-shortlinks](https://github.com/lonniev/tollbooth-shortlinks) | URL shortener utility |

## License

Apache 2.0 &mdash; see [LICENSE](LICENSE) and [NOTICE](NOTICE).

What people ask about optionality-mcp

What is lonniev/optionality-mcp?

+

lonniev/optionality-mcp is tools for the Claude AI ecosystem. Optionality MCP — AI-judged options trading drill. Tollbooth DPYC monetized. FastMCP + React/Vite. It has 0 GitHub stars and its last recorded update is dated 2026-08-22.

How do I install optionality-mcp?

+

You can install optionality-mcp by cloning the repository (https://github.com/lonniev/optionality-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is lonniev/optionality-mcp safe to use?

+

Our security agent has analyzed lonniev/optionality-mcp and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.

Who maintains lonniev/optionality-mcp?

+

lonniev/optionality-mcp is maintained by lonniev. The last recorded GitHub activity is dated 2026-08-22, with 2 open issues.

Are there alternatives to optionality-mcp?

+

Yes. On ClaudeWave you can browse similar tools at /categories/tools, sorted by popularity or recent activity.

Deploy optionality-mcp to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

Maintain this repo? Add a badge to your README

Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.

Featured on ClaudeWave: lonniev/optionality-mcp
[![Featured on ClaudeWave](https://claudewave.com/api/badge/lonniev-optionality-mcp)](https://claudewave.com/repo/lonniev-optionality-mcp)
<a href="https://claudewave.com/repo/lonniev-optionality-mcp"><img src="https://claudewave.com/api/badge/lonniev-optionality-mcp" alt="Featured on ClaudeWave: lonniev/optionality-mcp" width="320" height="64" /></a>