Reputation rubric version — Mnemom — Trust Ratings for AI Agents MCP Resource
Reputation rubric version
is one of 11 resources on the
Mnemom — Trust Ratings for AI Agents
MCP server. Connect the server and your client can attach it as context.
by client
How to attach Reputation rubric version from your client
- Claude Code Mnemom — Trust Ratings for AI Agents Resource/Reputation rubric version run in your project directory
- Claude Desktop Mnemom — Trust Ratings for AI Agents Resource/Reputation rubric version ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor Mnemom — Trust Ratings for AI Agents Resource/Reputation rubric version ~/.cursor/mcp.json
- VS Code Mnemom — Trust Ratings for AI Agents Resource/Reputation rubric version .vscode/mcp.json
- Zed Mnemom — Trust Ratings for AI Agents Resource/Reputation rubric version ~/.config/zed/settings.json
- Windsurf Mnemom — Trust Ratings for AI Agents Resource/Reputation rubric version ~/.codeium/windsurf/mcp_config.json
- Cline Mnemom — Trust Ratings for AI Agents Resource/Reputation rubric version ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI Mnemom — Trust Ratings for AI Agents Resource/Reputation rubric version ~/.gemini/settings.json
- Grok Mnemom — Trust Ratings for AI Agents Resource/Reputation rubric version .mcp.json (in your project root)
- ChatGPT Mnemom — Trust Ratings for AI Agents Resource/Reputation rubric version Settings → Connectors → Advanced → Developer mode
- Claude.ai Mnemom — Trust Ratings for AI Agents Resource/Reputation rubric version Settings → Connectors → Add custom connector
- LangChain Mnemom — Trust Ratings for AI Agents Resource/Reputation rubric version pip install langchain-mcp-adapters
Other resources on this server
Mnemom — Trust Ratings for AI Agents also offers 9 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.