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AlvisoOculus

Equity Comp Tax (ISO/NSO/RSU/QSBS); Concentration, Hedging and Equity Funding Optimizers

OptionsAhoy MCP Server

Glama quality score npm version MCPSafe security grade MCP calls in the last 30 days

Independently verified by third parties. Glama: third-party MCP-directory quality score (tool docs, behavior, completeness). · npm: published with build provenance, a signed SLSA attestation that this package was built from this repo by GitHub Actions (verify with npm audit signatures). · MCPSafe: independent 5-model-consensus security scan (AIVSS), Grade A with zero findings.

Validated against trusted sources (checks we run ourselves, against references we do not control, and that you can reproduce). Computation: every 2026 federal tax constant matches its IRS Rev. Proc. 2025-32 / Internal Revenue Code value, and 14 worked federal cases (ordinary income, long-term capital gains, and the Alternative Minimum Tax including the incentive stock option bargain element) reproduce to the cent against the independently-maintained PSL Tax-Calculator, a tax model we did not write. State income tax is cross-checked the same way: 16 cases across California, New York, New Jersey, Pennsylvania, and Massachusetts reproduce to the cent against OpenTaxSolver, an independent state tax engine we also did not write. The headline answer is recomputed live in your browser.

Tested and hardened. Input safety: requests are validated against the published schema; bad inputs return a clear 400 with the offending field named, never a crash or a wrong number, and the live API is re-checked by a robustness suite after every deploy. · Test suite: the calculation engine is covered by more than a thousand automated tests across the federal and 50-state tax logic, AMT credit recovery, and option pricing; a failing test blocks the release.

Live usage: MCP calls over the last 30 days, served straight from the server's own telemetry (/api/v1/stats, aggregate counts only, no PII).

Deterministic equity-compensation tax math that any Model Context Protocol (MCP) client can call: incentive stock option (ISO) exercise schedules under the alternative minimum tax (AMT), non-qualified stock option (NSO) and restricted stock unit (RSU) decisions, qualified small business stock (QSBS) qualification, single-stock concentration, protective-put hedging, and equity-funding goals. Full federal tax code plus all 50 states and DC, 2026 brackets. Built by AlphaLatitude Inc., the company behind OptionsAhoy.

Why not just ask the model? We benchmarked five frontier large language models (LLMs), 3 runs each, 15 trials total, on the same multi-year ISO exercise problem. Every trial overshot the true after-tax outcome, by 2x to 20x. Multi-year scheduling has a search space larger than an LLM can reason through in-context; these tools return the verifiable answer instead. Live benchmark, updated for the latest models: optionsahoy.com/benchmark. Raw responses and scoring: llm-iso-benchmark. Full write-up: But can it do taxes though?

Install in one line

The hosted endpoint is https://optionsahoy.com/mcp (HTTP, no auth, no account). Quickest paths:

Client

Install

Any MCP client

Add https://optionsahoy.com/mcp as a remote HTTP server, or npx add-mcp https://optionsahoy.com/mcp

Claude Desktop

Download optionsahoy.mcpb and double-click it

19 clients via Smithery

npx @smithery/cli install alphalatitude/optionsahoy --client claude

Local stdio (npm)

npx -y optionsahoy-mcp

Full install matrix (Gemini CLI extension, config-file JSON, REST API, Google Cloud Agent Registry): optionsahoy.com/for-agents.

Related MCP server: irs-taxpayer-mcp

The seven tools

Tool name

What it computes

amt_iso_optimize

Multi-year ISO exercise schedule that maximizes after-tax net final value at the planning horizon, modeling AMT credit recovery, grant expiration, and the post-termination exercise window

nso_calculate

After-tax payout on an NSO exercise (federal, state, FICA), comparing sell-at-exercise vs hold for long-term capital gains

rsu_sell_vs_hold

RSU vest decision: sell at vest vs hold for long-term capital gains, including the gap between 22% supplemental withholding and your marginal bracket

concentration_analyze

Single-stock concentration risk (drawdown exposure at 30/50/70% downside), comparing after-tax sell-down, hold, and hedge strategies

protective_put_price

Protective put, zero-cost collar, and put spread pricing via Black-Scholes: annualized hedge cost, maximum loss, upside cap, protected band, floor-hit probability, and which structure it recommends

qsbs_check

Section 1202 QSBS qualification across the six statutory tests, with the OBBBA 2026 tiered exclusion and per-state conformity

equity_funding_plan

Multi-year, multi-stack sell schedule to hit a target after-tax amount by a deadline; returns four named plans plus the full risk/wealth frontier

The optimizers return the best schedule across the candidate space; the calculators return exact deterministic results. Deterministic computation, not a language-model guess, validated against brute-force ground truth on tractable cases (see the proof). Coverage spans the full federal tax code (ordinary brackets, long-term capital gains, AMT with credit recovery, FICA, NIIT) plus all 50 states and DC (state ordinary brackets, LTCG treatment, state AMT for CA, CO, CT, MN). Same engine as the in-browser calculators at optionsahoy.com/tools; the API response is byte-identical to clicking through the tool.

Use it in your agent framework (Python)

If you build agents in Python rather than calling the MCP endpoint directly, OptionsAhoy ships installable tool packages for the major agent frameworks. Each one wraps the same calculators behind the framework's native tool interface. All are published on PyPI and all are keyless: no OptionsAhoy account, no API key.

Framework

Install

Import

Example

LangChain

pip install optionsahoy-langchain

from langchain_optionsahoy import get_optionsahoy_tools

equity_agent.py

LlamaIndex

pip install llama-index-tools-optionsahoy

from llama_index.tools.optionsahoy import OptionsAhoyToolSpec

equity_agent.py

CrewAI

pip install crewai-optionsahoy

from crewai_optionsahoy import get_optionsahoy_tools

equity_crew.py

Plain Python client

pip install optionsahoy

from optionsahoy import OptionsAhoyClient

basic_client.py

The three framework adapters pull in the keyless optionsahoy client automatically. There is also an OpenBB Workspace agent (a FastAPI application built on the OptionsAhoy client) for use inside OpenBB Workspace. Source and runnable examples for all of the above live under integrations/python.

More ways to build

However your agent is built, there is a drop-in piece. All are public and keyless.

Building block

What it is

Vercel AI SDK tools

A TypeScript package (optionsahoy-ai-sdk) exposing all seven calculators as Vercel AI SDK tool() definitions, ready to spread into generateText / streamText.

Instruction kits

Editor rules and skills for Cursor, Windsurf, Claude Skills, and Claude Code subagents, so your coding agent calls the OptionsAhoy tools for equity-compensation questions.

Coding recipes

Copy-paste Python recipes, one self-contained file per question, calling the keyless API with only requests. Also in integrations/recipes.

Builder templates

An importable n8n workflow plus build recipes for Flowise, Langflow, and Dify.

Tool-use eval

An inspect_ai evaluation measuring whether an agent reaches the provable optimum on a multi-year ISO problem, with and without the tool.

A2A discovery

An Agent2Agent (A2A) Agent Card so other agents can discover and delegate equity-compensation questions to the planner.

Zed extension

A Zed editor context-server extension that connects the editor's agent to the OptionsAhoy MCP server.

ACI.dev app

The OptionsAhoy app definition for the ACI.dev open-source agent-tool platform.

OpenRouter bridge

A recipe for attaching the keyless OptionsAhoy MCP server to any model routed through OpenRouter's OpenAI-compatible endpoint.

Try it without installing

The live widget on optionsahoy.com/for-agents calls this same endpoint from your browser. No client, no config.

Prefer a chat interface? The same calculators answer plain-language questions at poe.com/OptionsAhoy.

Or watch a real session:

Demo: Claude Code installing and using the OptionsAhoy MCP

Real Claude Code session, unedited. A multi-stack META question (10K ISOs + 6K vested RSUs + 2K fresh RSUs + $400K house in 2027) fires 4 OptionsAhoy MCP tools in parallel: concentration risk, equity funding plan, AMT/ISO optimization, protective put pricing. Claude synthesizes the outputs into one plan that overrides each tool's standalone pick because the user is 86% concentrated in META. 2:13. Click the poster to play it on optionsahoy.com.

Endpoints and discovery

Live MCP endpoint: https://optionsahoy.com/mcp Live REST API: https://optionsahoy.com/api/v1 OpenAPI 3.1 spec: /openapi.json Discovery manifests: /.well-known/mcp.json · /.well-known/openapi.json Agent integration docs: optionsahoy.com/for-agents

MCP resources (topical briefings)

Seven markdown resources under resources/list give an LLM enough grounding to discuss the topic before picking a tool. Most map 1:1 with a cornerstone article on optionsahoy.com/learn and the matching calculator; the equity-funding briefing maps to its calculator.

Resource URI

Topic

Pair with

https://optionsahoy.com/learn/amt-crossover

ISO/AMT crossover and four expensive mistakes

amt_iso_optimize

https://optionsahoy.com/learn/nso-sell-vs-hold

NSO sell-at-exercise vs hold-for-LTCG

nso_calculate

https://optionsahoy.com/learn/rsu-withholding-gap

RSU 22% withholding gap and five April surprises

rsu_sell_vs_hold

https://optionsahoy.com/learn/single-stock-concentration-risk

Concentration risk and diversification trade-off

concentration_analyze

https://optionsahoy.com/learn/zero-cost-collars

Protective puts, zero-cost collars, and put spreads

protective_put_price

https://optionsahoy.com/learn/qsbs

QSBS qualification and five ways to lose the exclusion

qsbs_check

https://optionsahoy.com/tools/equity-funding

Selling equity to fund a cash goal by a deadline

equity_funding_plan

MCP prompts (workflow scaffolds)

Seven prompts under prompts/list scaffold typical user questions and route to the right tool. In Claude Desktop they appear as named slash-commands; in any MCP client, prompts/get { name, arguments } returns a fully-templated user message.

Prompt name

Routes to

optimize-iso-exercise

amt_iso_optimize

analyze-nso-decision

nso_calculate

analyze-rsu-vest

rsu_sell_vs_hold

analyze-concentration

concentration_analyze

price-protective-put

protective_put_price

check-qsbs-eligibility

qsbs_check

plan-equity-funding

equity_funding_plan

Install details

Claude Desktop extension (one-click)

The optionsahoy.mcpb bundle installs by double-click (or drag onto Claude Desktop → Settings → Extensions), with no terminal or config-file editing, using Claude Desktop's built-in Node.js runtime.

To build the bundle from source:

npm install && npm run build:mcpb

Smithery CLI (19 clients, one command)

npx @smithery/cli install alphalatitude/optionsahoy --client claude

Swap claude for any client Smithery supports: claude-code, cursor, vscode, gemini-cli, codex, windsurf, cline, goose, opencode, and 10 more. Listing: smithery.ai/servers/alphalatitude/optionsahoy.

Gemini CLI extension

gemini extensions install https://github.com/AlvisoOculus/optionsahoy-mcp

This repo doubles as a Gemini CLI extension: gemini-extension.json wires the hosted MCP endpoint and GEMINI.md provides usage context to the model.

Local stdio (npm)

For clients that only support local stdio servers (Claude Desktop without mcp-remote, some IDE integrations):

npx -y optionsahoy-mcp

Or add to a Claude Desktop / Cline / Goose config file:

{
  "mcpServers": {
    "optionsahoy": {
      "command": "npx",
      "args": ["-y", "optionsahoy-mcp"]
    }
  }
}

The local server returns byte-identical responses to the hosted endpoint at https://optionsahoy.com/mcp. Source for both lives in functions/_lib/mcp-tools.ts; the stdio entry point is src/stdio-server.ts.

Use the REST API directly

# List endpoints
curl https://optionsahoy.com/api/v1

# Run an optimization
curl -X POST https://optionsahoy.com/api/v1/amt-iso \
  -H "content-type: application/json" \
  -d @input.json

Request body shapes are documented in public/openapi.json.

Repository layout

functions/         Cloudflare Pages Functions (MCP server + REST API endpoints)
  mcp.ts           HTTP MCP server
  api/v1/*.ts      Seven tool endpoints + stats + GET /api/v1 discovery
  _lib/*.ts        Shared helpers, calc-input parsers, MCP tool descriptors
lib/               Optimizer + tax-code logic
  calc/            Per-tool optimizer functions (computeAmtIso, etc.)
  tax/             Federal + 50-state + DC bracket data, AMT, FICA, NIIT
  markets/         Sector statistics
  options/         Black-Scholes, risk-free rates
  data/            Type definitions for option-chain data
public/            Static assets: OpenAPI spec, llms.txt, discovery manifests
tests/             Vitest suites (an extensive test suite including byte-identity assertions)

Run tests

npm install
npm test         # an extensive test suite, ~3s on a laptop
npm run typecheck

Registry listings

Use from Google Cloud (Gemini agents)

Google Cloud Agent Registry lets each GCP project register external MCP servers for use by Gemini agents. Registration is per-project (no central submission). Two paths:

# Path A: let the Agent Registry introspect our MCP endpoint
gcloud alpha agent-registry mcp-servers register \
  --uri=https://optionsahoy.com/mcp \
  --display-name="OptionsAhoy" \
  --location=us-central1 \
  --import-tools

# Path B: pass our published toolspec.json directly (faster, no introspection)
gcloud alpha agent-registry mcp-servers register \
  --uri=https://optionsahoy.com/mcp \
  --display-name="OptionsAhoy" \
  --location=us-central1 \
  --tool-spec=<(curl -sSL https://optionsahoy.com/toolspec.json)

The toolspec.json mirrors the MCP tools/list response with readOnlyHint and idempotentHint annotations on all seven tools (all are pure deterministic calculators with no side effects). To regenerate after a tool-shape change:

curl -sS -X POST https://optionsahoy.com/mcp \
  -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","method":"tools/list","id":1}' \
  | jq -c '{tools: [.result.tools[] | . + {annotations: {readOnlyHint:true, idempotentHint:true, destructiveHint:false, openWorldHint:false}}]}' \
  > public/toolspec.json

Troubleshooting

Connection refused / 404 from the MCP endpoint https://optionsahoy.com/mcp requires POST with content-type: application/json and a JSON-RPC body. A GET returns a JSON server description; any other verb returns 405. Verify with:

curl -X POST https://optionsahoy.com/mcp -H 'content-type: application/json' \
  -d '{"jsonrpc":"2.0","method":"initialize","id":1,"params":{}}'

Tool calls fail with Error: ... text in the response The MCP server returns isError: true with a human-readable message when input validation fails. Most common: a required field missing, or a number passed as a string. Check the input against the inputSchema returned by tools/list, or against /openapi.json.

Tool not appearing in Claude.ai or Claude Desktop

  • Confirm the connector URL is exactly https://optionsahoy.com/mcp (no trailing slash, no /v1).

  • In Claude Desktop, restart the app after editing claude_desktop_config.json.

  • In Claude.ai, the connector toggle is per-chat: enable it in the attachments menu.

  • Check the live tools/list response (seven tools expected): curl -X POST https://optionsahoy.com/mcp -H 'content-type: application/json' -d '{"jsonrpc":"2.0","method":"tools/list","id":1}'

CORS errors from a browser-based client The server returns access-control-allow-origin: * on all responses including preflight, and accepts the standard MCP headers (content-type, mcp-session-id, mcp-protocol-version). If a browser still blocks, the client is likely sending a non-allowed header — verify the request headers against the access-control-allow-headers response.

Resource / prompt not found Resource URIs and prompt names are case-sensitive. Pull the canonical list with resources/list and prompts/list rather than hand-typing.

Stale tax-year math The tax engine ships with 2026 inflation-adjusted brackets, OBBBA 2026 QSBS rules, and current state-conformity tables. If results look off for a multi-year horizon, verify the input grantDate, acquisitionDate, or saleDate falls in the year you expect — the engine resolves brackets per tax year.

Reporting a calculation bug or unexpected output Email andrew@alphalatitude.com with: the exact JSON-RPC request body, the response, the expected value, and (if known) the IRS publication or state statute the expected value derives from.

Privacy Policy

Full policy: optionsahoy.com/privacy.

In short: no account is required and no personally identifiable information is stored — no name, email, IP address, or login. Tool inputs and outputs are retained briefly (about seven days) for debugging and product improvement, alongside aggregate usage metadata (tool, timestamp, coarse location, client type) used to understand usage and detect abuse. The local stdio server and the Claude Desktop extension compute everything on your machine; the only network request is an option-chain lookup (ticker symbol only) for protective_put_price.

License

MIT. See LICENSE. The deployed service at https://optionsahoy.com/mcp and https://optionsahoy.com/api/v1 is free during beta under terms.

Contact

For partnerships, early API access, MCP integration support: andrew@alphalatitude.com

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