explain_trust_scoring — Mnemom — Trust Ratings for AI Agents MCP Prompt

explain_trust_scoring is one of 9 prompts on the Mnemom — Trust Ratings for AI Agents MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke explain_trust_scoring from your client

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

Other prompts on this server

• try_me
• vet_agent_before_delegating
• assess_website_trust
• make_my_agent_trust_ready
• onboard_an_agent
• make_my_website_trust_ready
• prove_my_trust
• become_sovereign

Mnemom — Trust Ratings for AI Agents also offers 11 resources — data you attach as context, where a prompt is something you run.

Read from the server itself, by connecting to it and calling prompts/list on 24 September 2026. A listing does not declare its prompts, 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 prompt's arguments.