Quesen Deterministic Agent Decision Layer

Deterministic decision layer for autonomous agents: reproducible PROCEED/REVIEW/SKIP verdicts.

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What it can do

    What data it sees

    Do you need an account

    An API key from the service settings is required

    Deterministic decision layer for autonomous agents: reproducible PROCEED/REVIEW/SKIP verdicts.

    How to connect

    How to connect Quesen Deterministic Agent Decision Layer to Claude

    The server address to paste into Claude settings:

    https://web-production-3df26.up.railway.app/mcp

    1. Open Claude (claude.ai or the desktop app).
    2. Go to Settings → Connectors.
    3. Click Add custom connector.
    4. Paste the server address copied below into Remote MCP server URL and click Add.
    5. In a chat, click + → Connectors and switch the new connector on.

    Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

    Authorization

    After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

    How to connect Quesen Deterministic Agent Decision Layer to ChatGPT

    The server address to paste into ChatGPT settings:

    https://web-production-3df26.up.railway.app/mcp

    1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
    2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
    3. Open Settings → Connectors and click Create.
    4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
    5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
    6. In a new chat open + → Apps/Connectors and enable the connector.

    OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

    Authorization

    On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

    How to connect Quesen Deterministic Agent Decision Layer to Cursor

    The server address to paste into Cursor settings:

    https://web-production-3df26.up.railway.app/mcp

    Fastest: click Open in Cursor below and confirm the prompt.

    Manually:

    1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
    2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
    3. Save the file. The server appears in the MCP list; authorize it there if asked.

    Authorization

    If the service needs sign-in, an authorize button appears next to the server in the MCP list.

    Server tool list (5)

    Raw names from tools/list. Only developers need these.

    quesen.validateDeterministic pre-decision risk validation for autonomous agents. Returns PROCEED / REVIEW / SKIP plus risk_score, confidence, and named conflict triggers. Same input -> same output; every response embeds engine_version + weights + thresholds for full replay.
    quesen.simulateCounterfactual scoring. Compare the baseline decision against a simulated decision under caller-supplied weights_override / thresholds_override. Free sales asset — not charged against key.
    quesen.reportPost-decision outcome feedback. Accepts request_id + outcome (RUG/LOSS/OK/WIN/UNKNOWN) plus optional post-trade metadata. Aggregated deterministically for SKIP-rate vs realized-outcome correlation.
    quesen.healthLiveness probe. Returns engine_version and transport.
    quesen.versionFull engine configuration — weights, thresholds, versions.