FlareWatch Scoring Methodology — flarewatch MCP Resource
FlareWatch Scoring Methodology
is one of 5 resources on the
flarewatch
MCP server. Connect the server and your client can attach it as context.
by client
How to attach FlareWatch Scoring Methodology from your client
- Claude Code flarewatch Resource/FlareWatch Scoring Methodology run in your project directory
- Claude Desktop flarewatch Resource/FlareWatch Scoring Methodology ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor flarewatch Resource/FlareWatch Scoring Methodology ~/.cursor/mcp.json
- VS Code flarewatch Resource/FlareWatch Scoring Methodology .vscode/mcp.json
- Zed flarewatch Resource/FlareWatch Scoring Methodology ~/.config/zed/settings.json
- Windsurf flarewatch Resource/FlareWatch Scoring Methodology ~/.codeium/windsurf/mcp_config.json
- Cline flarewatch Resource/FlareWatch Scoring Methodology ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI flarewatch Resource/FlareWatch Scoring Methodology ~/.gemini/settings.json
- Grok flarewatch Resource/FlareWatch Scoring Methodology .mcp.json (in your project root)
- ChatGPT flarewatch Resource/FlareWatch Scoring Methodology Settings → Connectors → Advanced → Developer mode
- Claude.ai flarewatch Resource/FlareWatch Scoring Methodology Settings → Connectors → Add custom connector
- LangChain flarewatch Resource/FlareWatch Scoring Methodology pip install langchain-mcp-adapters
Other resources on this server
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.