methodologie-hcsf — Capucine — ScoreCredit MCP Resource

methodologie-hcsf is one of 8 resources on the Capucine — ScoreCredit MCP server. Connect the server and your client can attach it as context.

by client

How to attach methodologie-hcsf from your client

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

Other resources on this server

• radar-banques
• rgpd-consentement
• courtiere-orias
• identite-cabinet
• taux-usure-t3-2026
• comment-citer
• pieces-dossier-credit

Capucine — ScoreCredit also offers 7 prompts — things you invoke, where a resource is context you attach.

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.