Quality Screener MCP server

Quality Screener MCP server

A standalone Model Context Protocol (MCP) server that exposes the Quality Screener stock-screening engine as tools for AI agents (Claude, Cursor, and any other MCP client).

Once connected, an agent can screen and filter the scored universe, compute custom quality scores, inspect score history, manage saved scoring systems, and generate shareable screen links — acting as the signed-in user, against the same data they see in the web dashboard.

Quality Screener API. It has no dependency on the backend Python package — every tool just calls a REST endpoint and returns the JSON payload.

• No SDK dependency. The server is a thin HTTP layer over the public

no credentials of its own. Each request carries the caller's own access token, which the server forwards to the API, so a single public deployment can serve many users without ever acting on a shared account.

• Multi-tenant & credential-free. When deployed over HTTP the server stores

Table of contents

• How it works
• Quick start (remote)
• Running locally
• Configuration
• Authentication
• Tools
• Working with CustomScoreConfig
• Connecting an MCP client
• Deployment
• Development
• Privacy Policy
• Support

How it works

┌─────────────┐   MCP (stdio | streamable-HTTP)   ┌──────────────────┐   HTTPS   ┌──────────────────────┐
│  AI agent   │ ────────────────────────────────► │  qscreener-mcp   │ ────────► │ Quality Screener API │
│ (MCP client)│ ◄──────────────────────────────── │   (this server)  │ ◄──────── │   (FastAPI backend)  │
└─────────────┘         tool calls / JSON          └──────────────────┘  REST     └──────────────────────┘

Each MCP tool maps to one Quality Screener REST endpoint. The server attaches the caller's bearer token to every outbound request (header X-Stobot-CLI-Token, Authorization: Bearer … also accepted) and returns the decoded JSON. There is no business logic in the server itself — it is a typed, authenticated façade over the API.

It runs in two transport modes:

Over HTTP the MCP endpoint is served at /mcp.

Quick start (remote)

The easiest way to use the server is to point your MCP client at the hosted deployment. No token to copy — the client triggers a browser sign-in on first connect:

{
  "mcpServers": {
    "qscreener": {
      "type": "streamable-http",
      "url": "https://mcp.qualityscreener.io/mcp"
    }
  }
}

On first use your browser opens the Quality Screener sign-in page. Approve once, and the agent stays connected. You need a Quality Screener account; the agent inherits exactly your access.

Running locally

Requires uv.

# Install dependencies
uv sync

# stdio — for a local agent that launches this as a subprocess
uv run qscreener-mcp

# streamable-HTTP — mirrors the remote deployment
QSCREENER_MCP_TRANSPORT=streamable-http QSCREENER_MCP_PORT=8080 \
  QSCREENER_API_URL=http://localhost:8001 \
  uv run qscreener-mcp
# -> MCP endpoint at http://localhost:8080/mcp

With Docker:

Shortened. The full README is on GitHub.