SpendQuery planner & MCP reference — SpendQuery MCP Resource
SpendQuery planner & MCP reference
is one of 1 resource on the
SpendQuery
MCP server. Connect the server and your client can attach it as context.
by client
How to attach SpendQuery planner & MCP reference from your client
- Claude Code SpendQuery Resource/SpendQuery planner & MCP reference run in your project directory
- Claude Desktop SpendQuery Resource/SpendQuery planner & MCP reference ~/Library/Application Support/Claude/claude_desktop_config.json
- Cursor SpendQuery Resource/SpendQuery planner & MCP reference ~/.cursor/mcp.json
- VS Code SpendQuery Resource/SpendQuery planner & MCP reference .vscode/mcp.json
- Zed SpendQuery Resource/SpendQuery planner & MCP reference ~/.config/zed/settings.json
- Windsurf SpendQuery Resource/SpendQuery planner & MCP reference ~/.codeium/windsurf/mcp_config.json
- Cline SpendQuery Resource/SpendQuery planner & MCP reference ~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json
- Gemini CLI SpendQuery Resource/SpendQuery planner & MCP reference ~/.gemini/settings.json
- Grok SpendQuery Resource/SpendQuery planner & MCP reference .mcp.json (in your project root)
- ChatGPT SpendQuery Resource/SpendQuery planner & MCP reference Settings → Connectors → Advanced → Developer mode
- Claude.ai SpendQuery Resource/SpendQuery planner & MCP reference Settings → Connectors → Add custom connector
- LangChain SpendQuery Resource/SpendQuery planner & MCP reference pip install langchain-mcp-adapters
SpendQuery also offers 4 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 5 November 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.