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Agent Driven Options Desk And Skills MCP Server

by Iman
Developer ToolsUse Caution4.2MCP RegistryLocalRemote
Free

Server data from the Official MCP Registry

Option analytics over the SYNTH sample or a permitted chain: Greeks, positioning, payoffs, plots.

About

Option analytics over the SYNTH sample or a permitted chain: Greeks, positioning, payoffs, plots.

Remote endpoints: streamable-http: https://optiondesk.avidquant.com/mcp

Security Report

4.2
Use Caution4.2High Risk

Option Desk is a well-structured options analytics tool with appropriate permissions for its purpose (financial data processing, file I/O, network calls). The codebase demonstrates good engineering practices with extensive testing (1085+ tests, 80% coverage gate) and proper dependency management. No critical security vulnerabilities or malicious patterns detected. Minor findings relate to code quality and input validation practices that do not pose significant security risks. Supply chain analysis found 5 known vulnerabilities in dependencies (1 critical, 2 high severity).

4 files analyzed · 10 issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

File System Read

Reads files on your machine. Normal for tools that analyze or process local data.

File System Write

Writes or modifies files on your machine. Check that this is expected for the tool.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

process_spawn

Check that this permission is expected for this type of plugin.

How to Install & Connect

Available as Local & Remote

This plugin can run on your machine or connect to a hosted endpoint. during install.

Documentation

View on GitHub

From the project's GitHub README.

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

Contents

On this page

Guides and wiki

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:

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:

./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:

./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:

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

StepActionWhat to inspect
1. LoadImport a chainSource, timestamp, expiry, and missing inputs.
2. InspectCalculate Greeks and positioning.Units, skip counts, and dealer-sign assumptions.
3. CompareBuild structuresLegs, breakevens, maximum loss, and spread costs.
4. Explore timeCompare two expiriesNear-expiry valuation and scan limits.
5. Research historySimulate or backtestConvergence, benchmarks, uncertainty, and omitted costs.
6. RecordOpen a paper positionPlan, thesis, later marks, and unavailable quotes.

The dashboard reads saved artifacts. It does not fetch new data when you open the page. Use the same --out-dir for related commands and the dashboard. The results guide explains how to interpret each stage.

Read the documentation

GuidePurpose
User guide homeChoose a task and follow it to a result.
Installation referenceeight install paths for local, plugin, skills-only, hosted, and container use.
Dashboard tourRead the panels and identify missing calculations.
ExamplesCopyable commands and expected results.
TroubleshootingInstallation, provider, import, and chart problems.
FAQCommon questions and interpretation limits.
CapabilitiesFeature and interface catalogue.
Master algorithmOne pseudocode reference for skills, loops, graph routing, prompts, backtests, and paper tests.
ArchitecturePackages, data flow, contracts, current diagrams, and preserved design references.
Preserved project referenceComplete earlier README, with its engineering detail, measurements, and examples.
API inventoryGenerated public function and class reference.
Documentation mapAll guides, policies, and maintenance references.

Where the desk is listed

ListingLinkStatus
Official MCP Registrycom.avidquant/optiondeskPublished 2026-09-11. Remote entry for the hosted endpoint, domain verified.
Smitheryiman-samizadeh/option-deskListed 2026-09-11. Hosted endpoint, 13 tools scanned, TXT record verified.
Glama serverIman/agent-driven-options-desk-and-skillsIndexed from the repository, 12 local tools listed.
Glama connectorcom.avidquant.optiondesk/option-deskHosted endpoint, listed 2026-09-11, health checked by Glama, 13 tools.
Claude Code and Codex marketplacesThis repository: /plugin marketplace add Iman/agent-driven-options-desk-and-skillsLocal plugin option-desk and hosted plugin option-desk-hosted.
Hosted sampleoptiondesk.avidquant.com, MCP at /mcpSynthetic SYNTH data, no account needed.
LinkedIn articleI built an options desk an agent can drivePublished 2026-09-10.
dev.todev.to/imansamizadehRepost of the article, canonical link to LinkedIn, publishes after the first week.

Directory listings describe the hosted endpoint or the repository as they were on the date shown. The listing pages are maintained on each directory, not in this repository.

Development

Testing and coverage covers happy and failure paths, BDD scenarios, integration checks, and the 80% unit line-coverage gate per package.

Run from the repository root with the development dependencies installed. See Development for environment setup and screenshot capture.

python -m pytest engine/tests -q    # 355 tests
python -m pytest shell/tests -q     # 574 tests
python -m pytest agent/tests -q     # 161 tests
python -m pytest -q                # 1090 tests

These are collection counts, not a claim that this documentation edit ran every test. The workflow badge links to the actual CI result.

python3 scripts/refresh.py --no-index
python3 scripts/mutate.py --list

Ten stages in a full run rebuild generated documents and packages, check recorded evidence, and run the suites and repository rules. The mutation harness defines ninety-nine mutations. Use its output to distinguish detected changes, survivors, and skipped cases.

Eight schemas under shell/src/optiondesk/contracts/ define the artifact interface: 8 schemas + validator. See the architecture guide for their roles.

The evidence record pins an earlier chain measurement to 2026-08-30T14:12:17+00:00. It records 607 contracts, spot, listed expiries and 595 solved, 12 refused as unidentified. These are historical evidence strings, not counts for the sample or the current screenshots. The recorder retains them here for its existing documentation checks.

Contribute · Backlog · Changelog · Security

Licensing

The repository uses PolyForm Noncommercial 1.0.0. It is source available and free for noncommercial use. Commercial use requires a separate written agreement. See LICENSES.md. The software license does not grant rights to provider data.

Research software. No order placement. Model results are not fills, recommendations, or investment advice. Read the disclaimer, privacy policy, and third-party notices.

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