qm-deployed — quantifyme MCP Resource

qm-deployed is one of 5 resources on the quantifyme MCP server. Connect the server and your client can attach it as context.

by client

How to attach qm-deployed from your client

• Claude Code quantifyme Resource/qm-deployed run in your project directory
• Claude Desktop quantifyme Resource/qm-deployed ~/Library/Application Support/Claude/claude_desktop_config.json
• Cursor quantifyme Resource/qm-deployed ~/.cursor/mcp.json
• VS Code quantifyme Resource/qm-deployed .vscode/mcp.json
• Zed quantifyme Resource/qm-deployed ~/.config/zed/settings.json
• Windsurf quantifyme Resource/qm-deployed ~/.codeium/windsurf/mcp_config.json
• Cline quantifyme Resource/qm-deployed ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
• Gemini CLI quantifyme Resource/qm-deployed ~/.gemini/settings.json
• Grok quantifyme Resource/qm-deployed .mcp.json (in your project root)
• ChatGPT quantifyme Resource/qm-deployed Settings → Connectors → Advanced → Developer mode
• Claude.ai quantifyme Resource/qm-deployed Settings → Connectors → Add custom connector
• LangChain quantifyme Resource/qm-deployed pip install langchain-mcp-adapters

Other resources on this server

• qm-oneshot
• qm-community
• qm-chart
• qm-livetest

Read from the server itself, by connecting to it and calling resources/list on 24 September 2026. A listing does not declare its resources, so asking is the only way to know them, and this is what the server actually offers rather than what its listing claims. Names only are stored; connect the server for each resource's type and contents.