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Option Desk

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
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Option analytics over the SYNTH sample or a permitted chain: Greeks, positioning, payoffs, plots.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet β€” we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself β€” its README, its docs, or a verified owner. We haven’t found those for Option Desk, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

Option Desk

Options research with a local dashboard, agent skills, and MCP tools. Import a chain, inspect its Greeks and positioning, compare structures, and keep the results as readable files.

Checks Tests Unit coverage gate Mutation cases Python

License Ask DeepWiki Local skills Hosted skills Local MCP tools

Agent guides Last commit

MCP Registry Option Desk MCP connector, tool definition quality and endpoint health on Glama Hosted sample

Contents

On this page

  • See the desk
  • Get started
  • Ask your agent
  • Follow a research workflow
  • Read the documentation
  • Development
  • Licensing

Guides and wiki

  • Wiki
  • Architecture and diagrams
  • Install skills
  • User guide
  • Examples
  • Install
  • Troubleshooting

See the desk

The dashboard brings the chain, model assumptions, and research results onto one page. These are captures of the current local dashboard with synthetic teaching inputs. They are not market observations or evidence of trading performance. Capture details distinguish the input scenario from the capture date.

Structure comparison in the local dashboard, using synthetic inputs

Dashboard tour

Open an image for its full resolution. The complete gallery includes individual panels and charts. The dashboard guide explains how to read them.

PositioningVolatility
Synthetic dealer gamma, walls, open interest, and max painSynthetic volatility surface, smile, and Greek curves
Inspect the assumed dealer exposure and chain coverage.Compare strikes and expiries without hiding missing values.
Structure payoffTwo-expiry structures
Synthetic option structure payoff and legsSynthetic calendar and diagonal comparison
Read the legs, breakevens, and limits together.Inspect the valuation assumptions for the surviving leg.
SimulationBacktest
Simulation panels from synthetic price historyBacktest panels from synthetic price history and modeled premiums
Read the fan with the convergence diagnostics.Read outcomes with the benchmark and model limitations.
Composite comparisonContract ladder
Composite scores and their components for synthetic structuresSynthetic contract Greeks and overlaid strategy payoffs
Inspect the formula and disagreements between models.Compare sensitivities and payoff shapes.

The dashboard pipeline from input through saved research artifacts

Get started

Choose one route:

Your starting pointFirst actionContinue with
I want to try it without a data accountRun the supplied sample below.First walkthrough
I use Claude Code or CodexInstall the local tools, then connect the plugin.Agent workflows
I have a CSV or JSON chainImport it with its source and timestamp.Data import
I want a browser-based exampleOpen the hosted sample.Hosted connection

Try the supplied sample

Requirements: Git and Python 3.11 or later. Run these commands on macOS or Linux:

sh
git clone https://github.com/Iman/agent-driven-options-desk-and-skills.git
cd agent-driven-options-desk-and-skills
python3 -m venv .venv
. .venv/bin/activate
python -m pip install -e ./engine -e ./shell
optiondesk chain SYNTH --from-file examples/chain-synth.json --accept-data-rights --out-dir artifacts/tutorial
optiondesk greeks --out-dir artifacts/tutorial
optiondesk exposure --out-dir artifacts/tutorial
optiondesk compare --out-dir artifacts/tutorial
optiondesk dashboard --out-dir artifacts/tutorial

Open http://127.0.0.1:8787 on the same computer. Select SYNTH and 2026-10-08. Press Ctrl+C in the terminal to stop the server. The result files remain in artifacts/tutorial.

The supplied sample contains 62 synthetic contracts and a fixed valuation scenario. It needs no external provider after installation. The walkthrough includes Windows activation, expected results, and the next steps. Sample provenance explains the inputs.

Install the full local desk

From a checkout, run:

sh
./install.sh
optiondesk doctor

This installs the local tools and skills and attempts MCP registration with supported runtime CLIs it finds. Installation covers paths, flags, Docker, and removal. A plugin installation alone does not install the local calculation engine.

For an existing local provider setup, run the complete demonstration:

sh
./run.sh --symbols SPY

The runner retrieves data, builds the research artifacts, opens a paper position, and serves the dashboard. It writes to ~/TradingDesk/option-desk-demo by default. Use --dry-run to inspect its commands. Read provider setup before enabling Yahoo access.

Ask your agent

Install skills in your product

ProductInstallation choices
Codexnpx, manual copy, shell installer, or plugin.
Claude Codenpx, manual copy, shell installer, or plugin.
ChatGPTIndividual hosted-skill uploads where the account supports Skills, plus a separate MCP app.
Claude chatIndividual hosted-skill ZIPs plus a custom MCP connector.

The installation guide includes single-skill and all-skill commands, user/project scope, ZIP preparation, and connection checks.

After connecting the local tools, ask:

text
Use examples/chain-synth.json, the supplied synthetic teaching sample.
I can use this file for private analysis.
Save the results under artifacts/tutorial.
Show its Greeks and positioning, then compare an iron condor with a straddle.
State the source, missing inputs, model assumptions, and degradation first.
What you wantSkillExample
Working toolsdesk-setupCheck why my MCP tools are unavailable.
Contract sensitivitiesoptions-greeksShow delta, gamma, theta, and vega from this chain.
Chain positioningoptions-positioningShow the gamma walls and state the dealer-sign assumption.
Multi-leg structuresoptions-strategyCompare these structures by payoff, loss, and Greeks.
Forward distributionoptions-simulationSimulate the underlying from permitted history and report convergence.
Historical researchoptions-backtestBacktest this structure and explain the benchmark and missing costs.

The local MCP server exposes 12 tools. The hosted service supports a smaller workflow: snapshot validation, Greeks, positioning, and strategy plots. Simulation and backtests remain local workflows. See agent setup and prompts.

Follow a research workflow

Read the full README β†’View source on GitHub β†’

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Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about Option Desk

We don't have a confirmed install command for Option Desk yet, so we don't publish a generated one β€” a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/Iman/agent-driven-options-desk-and-skills) for the current steps.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
Last updatedSep 28, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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