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Connect Quality Factor Strategy to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Quantify stock quality and generate actionable trading signals.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Quality Factor Strategy.

  1. 01

    Calculate quality scores

    This capability computes a composite quality score for a specific set of stocks using fundamental data.

  2. 02

    Analyze strategy performance

    Use this to evaluate how a quality factor strategy has performed historically and check its risk characteristics.

  3. 03

    Generate trading signals

    This capability determines buy, sell, and hold actions for a portfolio based on calculated quality rankings.

Real work

What teams actually run

01

Stock Selection

Feed a list of tickers and their fundamentals to your agent to find the highest quality names.

02

Signal Execution

Turn a list of quality scores into a structured long/short portfolio plan.

03

Risk Monitoring

Check the quality beta and drawdown of a strategy to see if it fits your risk profile.

04

Strategy Validation

Run historical returns through the capability to see how a quality factor would have behaved.

One connector, every AI

Quality Factor Strategy works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Quality Factor Strategy to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

888ms average. Fast in production.

Quality Factor Strategy is checked daily against the live service.

Daily averagePeak 988ms
Oct 3Today
Fastest day
699ms
Slowest day
988ms
14-day trend
Slowing+18%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Quality Factor Strategy, so you can see the experience inside your AI.

It does not authenticate your account with Quality Factor Strategy. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Quality Factor Strategy Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_neZ1N2LO9idd4KgxcFAhE71JzM8vzMRoqm9bpjyY/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Quality Factor Strategy capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "quality-factor-strategy-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_neZ1N2LO9idd4KgxcFAhE71JzM8vzMRoqm9bpjyY/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Quality Factor Strategy in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Quality Factor Strategy owners hand off.

This MCP is built for professionals who want to move from qualitative descriptions to quantitative execution.

  • 01

    Quantitative Analysts

    They hand off fundamental data to the agent to automate factor scoring.

  • 02

    Portfolio Managers

    They use the agent to generate trading signals and monitor risk metrics.

  • 03

    Algorithmic Traders

    They use the capability to validate strategy performance against historical data.

FAQ

Questions Quality Factor Strategy owners ask.

  • 01

    What metrics are used for quality scoring?

    The MCP uses pillars like ROE, Debt-to-Equity, earnings stability, and dividend yield to calculate composite scores.

  • 02

    Which AI clients can use this MCP?

    You can use this with any MCP-compatible client, including Claude, Cursor, Windsurf, and VS Code.

  • 03

    Can I use this to generate buy and sell orders?

    The MCP generates trading signals that specify buy, sell, and hold actions based on quality rankings.

  • 04

    Does this MCP handle the hosting?

    Yes, Vinkius hosts the MCP and manages the connection so it is ready to use immediately.

  • 05

    How do I evaluate the risk of my strategy?

    You can use the analyze_strategy_performance capability to check metrics like quality beta and maximum drawdown.

  • 06

    How are quality scores calculated?

    Scores are a weighted sum of ranks for ROE, inverse Debt-to-Equity, earnings stability, and dividend yield.

  • 07

    What are the filtering rules for stocks?

    The strategy excludes any stocks with negative earnings or an ROE below 5%.

  • 08

    Can I analyze the risk of my strategy?

    Yes, by using analyze_strategy_performance, you can calculate quality beta and maximum drawdown.

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