cogdepot_plan_my_spend — cogDepot MCP Prompt

cogdepot_plan_my_spend is one of 1 prompt on the cogDepot MCP server. Connect the server and it appears in your client, ready to invoke.

by client

How to invoke cogdepot_plan_my_spend from your client

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

cogDepot also offers 3 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.