Enables AI agents to screen and filter stock universe, compute custom quality scores, inspect score history, manage scoring systems, and generate shareable screen links, acting as the signed-in user.
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process.env. You'll be asked to provide them before it can run.QSCREENER_API_URL— e =https://your-backend.example.com \QSCREENER_WEBSITE_URLQSCREENER_MCP_HOST— 0.0.0.0 Bind host for HTTP transportsPORT— QSCREENER_MCP_PUBLIC_URL http://localhost:{\8080} Publicly reachable base URL of this server; used to build the OAuth callback URLQSCREENER_MCP_PORT— QSCREENER_MCP_TRANSPORT=streamable-http =8080 \QSCREENER_MCP_PUBLIC_URL— e =http://localhost:8080 \QSCREENER_TOKEN— stdio (default) A local agent (e.g. Claude Code) launches the server as a subprocess Token from $ or ~/.config/qscreener/credentials.jsonQSCREENER_CONFIG_DIR— ~/.config/qscreener Directory holding credentials.json for stdio modeQSCREENER_MCP_TRANSPORT— streamable-http QSCREENER_MCP_PORT=8080 \[](https://m8ven.ai/mcp/quality-screener-quality-screener-mcp-server-ma0wfm)