Quality Screener MCP Server
AI & Memory
Local
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.
How to connect
1
Glama registry
View https://glama.ai/mcp/servers/ra94iy7qfu for deploy options, or install from https://github.com/quality-screener/quality-screener-mcp-server (see README for MCP config).
2
GitHub
Install from https://github.com/quality-screener/quality-screener-mcp-server and add the server to your MCP client configuration (see repository README).
Tools
Tool names are not listed in our registry for this server. Connect it in your MCP client to see the live tool list.