research_enterprise_architecture — AI TPM Knowledge MCP Prompt
research_enterprise_architecture
is one of 2 prompts on the
AI TPM Knowledge
MCP server. Connect the server and it appears in your client, ready to invoke.
by client
How to invoke research_enterprise_architecture from your client
- Claude Code AI TPM Knowledge Prompt/research_enterprise_architecture run in your project directory
- Claude Desktop AI TPM Knowledge Prompt/research_enterprise_architecture ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor AI TPM Knowledge Prompt/research_enterprise_architecture ~/.cursor/mcp.json
- VS Code AI TPM Knowledge Prompt/research_enterprise_architecture .vscode/mcp.json
- Zed AI TPM Knowledge Prompt/research_enterprise_architecture ~/.config/zed/settings.json
- Windsurf AI TPM Knowledge Prompt/research_enterprise_architecture ~/.codeium/windsurf/mcp_config.json
- Cline AI TPM Knowledge Prompt/research_enterprise_architecture ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI AI TPM Knowledge Prompt/research_enterprise_architecture ~/.gemini/settings.json
- Grok AI TPM Knowledge Prompt/research_enterprise_architecture .mcp.json (in your project root)
- ChatGPT AI TPM Knowledge Prompt/research_enterprise_architecture Settings → Connectors → Advanced → Developer mode
- Claude.ai AI TPM Knowledge Prompt/research_enterprise_architecture Settings → Connectors → Add custom connector
- LangChain AI TPM Knowledge Prompt/research_enterprise_architecture pip install langchain-mcp-adapters
Other prompts on this server
Read from the server itself, by connecting to it and calling prompts/list on 29 October 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.