What runtime does ynab-mcp-server require?
It requires Node.js and npm. Build commands are `npm install` and `npm run build`.
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"ynab-mcp-server": {
"command": "npx",
"args": [
"ynab-mcp-server"
],
"env": {
"YNAP_API_TOKEN": ""
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
A Model Context Protocol (MCP) server built with mcp-framework that provides tools for interacting with your YNAB budgets. It is intended for use with AI assistants to manage YNAB data via conversation.
Set the environment variable YNAB_API_TOKEN with your YNAB personal access token. Build the project (npm install && npm run build), then add the server to your MCP client configuration (e.g., Claude Desktop) using the command and path to the built index.js, or use npx after publishing.
It requires Node.js and npm. Build commands are `npm install` and `npm run build`.
You must set the environment variable `YNAB_API_TOKEN` with your personal access token from YNAB. This token is never sent directly to the LLM; it is stored privately in the environment.
The README provides configuration examples for Claude Desktop and links to other MCP clients at https://modelcontextprotocol.io/clients.
Yes, you can extend the server by adding new tools using the CLI command `mcp add tool <tool-name>` and referencing the YNAB OpenAPI specification.
The optional `KNOWLEDGE_DIR` and `KNOWLEDGE_FILE` environment variables allow you to specify where and how server knowledge (e.g., budget selections) is stored. Defaults to `data/server-knowledge.json` in the server directory.

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