Alphacouncil Agent

Name: Alphacouncil Agent
Author: Zhao73

by Zhao73version 1.0.15i★ –iRuns on your computer

Registry nameio.github.Zhao73/alphacouncil-agent

Install

Overview

Description from the maker (original English)

Simulated investment committee: 27 investor lenses read the same filings, debate, and a PM decides.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

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: Accounting, finance & tax

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?

ClaudeClaude CodeCursorVS CodeChatGPT

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": {
    "alphacouncil-agent": {
      "command": "npx",
      "args": [
        "-y",
        "alphacouncil-agent"
      ]
    }
  }
}

Run this in your terminal

claude mcp add alphacouncil-agent -- npx -y alphacouncil-agent

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "alphacouncil-agent": {
      "command": "npx",
      "args": [
        "-y",
        "alphacouncil-agent"
      ]
    }
  }
}

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": {
    "alphacouncil-agent": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "alphacouncil-agent"
      ]
    }
  }
}

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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Zhao73, 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 Accounting, finance & taxi

More stars than 0% of the other 2921 servers in this category
Published to the registry more recently than 23% of the other 2921 servers in this category
Basic checks equal to or better than 100% of the other 2921 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 Alphacouncil Agent 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 (1.0.15) reached the registry 3 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: Finance Toolkit, SolidInvoice, Korea Tax Calculator

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

Finance Toolkit

by JerBouma

500+ transparent financial methods calculated from raw statements, not third-party endpoints.

Computer or cloud★ 5,496MITUpdated yesterday

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SolidInvoice

by SolidInvoice

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Runs in the cloud★ 981MITUpdated 9 days ago

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Korea Tax Calculator

by UpstageAI

Korean tax calculation and tax-audit judgment MCP: 96 tools with statutory citations.

Runs on your computer★ 97MITUpdated 2 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.

An investment-research council you can inspect

One request becomes sourced evidence, competing method views, a bull/bear challenge, and a portfolio-manager verdict.

English · 中文 · 日本語

Install · Try the data layer · See how calls expand · Read a report

v1.7: concise setup with remembered choices, conclusions first, expanded daily history and full method-dependency checks. Fresh confirmation is still required. Upgrade details and data-source boundaries.

Question → sourced evidence → frozen method stances → Bull/Bear challenge → PM decision + saved audit

Historical UI recording (MP4) · Historical report artifact (SOX, Chinese)

The recording predates the current 26-seat candidate. It demonstrates an earlier interface only—not current timing, method fidelity, data accuracy, four-code-host validation, or ChatGPT Work validation.

One question. An inspectable case.

AlphaCouncil turns a ticker question into a reviewable research process. Parallel evidence workers gather public sources, selected investment-method seats interpret the same dated facts, bull and bear challenge the case, and a portfolio manager records the decision and its invalidation conditions. Missing inputs stay visible instead of being filled with guesses.

The same repository supports Codex, Claude Code, OpenCode, and Grok Build, plus a tool-only ChatGPT Work developer-mode gateway. It classifies companies, ETFs, and market indices before research so a basket is not analyzed as if it were an operating company.

Install in Codex

Prerequisite: Node.js 18 or newer. Install with these two shell commands:

codex plugin marketplace add Zhao73/alphacouncil-agent

codex plugin add alphacouncil-agent@alphacouncil

Plugins load when Codex starts. Fully quit and restart Codex, open a new session, then enter this in the Codex composer:

@alphacouncil-agent analyze AAPL

For ChatGPT Work developer mode, Claude Code, OpenCode, Grok Build, Windows, troubleshooting, and the optional global npm command, use the [complete install guide](docs/INSTALL.md).

Free first run

Check the keyless public-data layer before starting a council:

# Codex

@alphacouncil-agent AAPL news

Claude Code, OpenCode, or Grok Build

/alpha AAPL news

This check starts no council workers and requires no data-vendor key. For bounded research in Codex, use @alphacouncil-agent AAPL quick; on the three slash-command hosts, use /alpha AAPL quick.

Choose the depth before it runs

AlphaCouncil shows the work plan first. Full research asks separately for method seats, evidence breadth, and depth; the user confirms them before workers start. Full tiers use 15 / 30 / 60 minute ceilings—never a hidden token or currency estimate.

Run	Model-call structure	Time ceiling
Data check	Keyless tools only; no council workers and no additional model fan-out	Outside the council tiers
Quick research	4 evidence workers in parallel → 1–4 method seats in parallel → Bull and Bear in parallel → PM	10 minutes
Full — fast	8 core or exactly 11 all-scope evidence workers start together; each selected method stance is frozen deterministically before one isolated explanation worker; 3 debate rounds → PM	15 minutes
Full — normal	Same confirmed roster, frozen-stance sequence, 3 debate rounds, and PM, with a larger depth envelope	30 minutes
Full — slow	Same confirmed roster and stages with the largest depth envelope	60 minutes

These are queue-to-terminal persistence ceilings, not measured completion times. They guarantee an explicit terminal record even when work is incomplete; a successful live fast run within 15 minutes has not yet been demonstrated across the four hosts. Fast keeps the full contract but uses an auditable stage-aware reasoning profile and one shared lifecycle budget per primary/retry/repair chain; retries cannot silently double a seat's cap.

When an instrument classification and typed-fact coverage are already available, the selector also shows an eight-family advisory method match derived from all 26 physical pack manifests. An explicit objective and holding horizon additionally calibrate the match and separate directional, non-voting risk, and context-only contributions; out_of_scope is never a negative vote. For a one-year directional request, the PM maps sourced base-case total return to one published rating rubric instead of counting conservative method seats; the server binds the frozen price/currency and recomputes that return from a same-currency target plus income. An out_of_scope seat remains visible in the method bench but is structurally absent from the PM rating path. It is only a prefill: every pack remains selectable, no run starts without explicit confirmation, and a missing classification produces no guessed default. The output represents AI-generated method simulations—not human experts, independent models, or a promise of profit. See method-panel recommendation and seat evidence.

Only the slow run with all methods and all evidence workers enables the additional verification path; the other full tiers do not claim that extra check.

What you gain

Benefit	What it changes
A council, not one answer	Evidence specialists, method seats, opposing cases, and a PM expose where agreement comes from.
A stance before the story	Each selected full-run method stance is fixed from structured inputs before its isolated explanation is written.
Claims you can trace	Material report claims must point to source IDs; missing evidence remains a stated gap.
Disagreement that survives synthesis	Three cross-examination rounds and persisted minority or opposing reports keep the losing case available for review.
The right research path for the asset	Companies use issuer evidence; ETFs use dated holdings look-through; indices use aggregate methodology. The first data check is keyless.

How the architecture differs

This compares workflow shapes, not named products. A particular tool may implement a different design.

Review concern	Single-model reply or common shared-context flow	AlphaCouncil
Correlated errors	One shared context can carry an early mistake into every later step	Evidence seats and opposing paths run in isolated workers; they may still use the same provider or model and are not independent models
Position formation	The position can be composed together with its explanation	A structured stance is frozen before explanatory prose
Source trace	Traceability depends on the prompt and host	Every material claim is required to carry a source ID
Minority view	Dissent can be folded into the final summary	Minority and opposing reports remain surfaced as review artifacts

What the seats are—and are not

The method-seat formulas are AI-authored reconstructions of published methods, pending human review. The named practitioners have not reviewed or endorsed these seats. They are not impersonations, independent models, or validated replicas. A stance is a structured argument to check against its inputs and sources—not a validated investment model.

Current source evidence boundary: 26 provisional method seats, 0 validated method models, 0/8 registered-and-completed canonical evaluation runs, and 0/4 live-host end-to-end runs. Passing source tests does not change those zeros.

Disclaimer

AlphaCouncil is for education and research only. It is not investment advice, a recommendation, or a solicitation. AI-generated analysis can be incomplete, outdated, or wrong. Verify the evidence yourself and consult a licensed professional before making an investment decision. The authors accept no liability for losses.

Go deeper

Detailed English product, usage, tools, and architecture reference
Complete four-host installation guide
Report contract and complete example report
Roadmap, security model, attribution, and changelog
Standalone terminal client: language → ticker → model → methods, with clickable evidence and debate. Developer entry: npm run terminal after npm ci --prefix terminal.
Existing local viewers: npm run tui and npm run gui

Runtime outputs are written outside the repository under ~/.alphacouncil-agent/runs/ /.

Evidence first. Disagreement visible. Decisions reviewable.

↑ Back to top

Alphacouncil Agent

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Accounting, finance & taxi

Common questions

Alternatives

Finance Toolkit

SolidInvoice

Korea Tax Calculator

README from the maker

An investment-research council you can inspect

One question. An inspectable case.

Install in Codex

Free first run

Claude Code, OpenCode, or Grok Build

Choose the depth before it runs

What you gain

How the architecture differs

What the seats are—and are not

Disclaimer

Go deeper