kubera-3p-mcp

kubera-3p-mcp

MCP server that exposes a typed TypeScript client for the Kubera (api.kubera.com) REST API, enabling users to access their financial data (user info, portfolios, charts) via Cognito-authenticated tools, including white-label account support.

Category
访问服务器

README

kubera-3p-mcp

Typed TypeScript client for the Kubera (api.kubera.com) REST API, plus an MCP server that exposes those endpoints as tools.

Why does this exist?

Kubera has decided that if you have a white-label account (i.e. run by your financial advisor), you're not allowed to use their MCP Server to access your own financial data. So instead, we make our own and tell them to fly a kite.

Requirements

  • Bun 1.1+ (for local development / prepare build)
  • Node.js 18+ (to run the published bin bundle)

Install

bun install

Auth: cognito-session.json

Kubera API calls use:

Authorization: Bearer <Cognito AccessToken>

AccessTokens expire in about an hour. You provide a Cognito session file (refresh token, device fields, and your white-label baseUrl). Derived AccessTokens are cached on disk — same pattern as stonex-mcp — so Cognito refresh is not called on every tool use.

The session file also carries:

Field Purpose
baseUrl White-label host used for Origin / Referer (required)
apiBaseUrl API root (optional; defaults to https://api.kubera.com/api/v1)
clientId Cognito app client id (from Amplify localStorage)
userPoolId Cognito user pool id (from access/id token iss)

Export session (one paste)

  1. Log into your Kubera white-label host in the browser.
  2. Open DevTools → Console.
  3. Paste the contents of scripts/export-cognito-session.js and press Enter.
  4. Save the downloaded cognito-session.json.
  5. Run:
kubera-3p-mcp --session /path/to/cognito-session.json

AccessToken cache

OS Path
Windows %LOCALAPPDATA%\kubera-3p-mcp\access-token.json
macOS ~/Library/Caches/kubera-3p-mcp/access-token.json
Linux ${XDG_CACHE_HOME:-~/.cache}/kubera-3p-mcp/access-token.json

Startup / request flow:

  1. Prefer a still-valid cached AccessToken.
  2. Else, if the session export still has a valid AccessToken, cache that.
  3. Else call Cognito REFRESH_TOKEN_AUTH once and write the new AccessToken to the cache.
  4. On API 401, clear cache, refresh once, retry; if that fails, re-export the session file.

Treat the session file and cached token like passwords. Do not commit them.

Run the MCP server

bun start -- --session /path/to/cognito-session.json
# or after build:
node dist/kubera-3p-mcp.js --session /path/to/cognito-session.json

Cursor / Claude Desktop config

{
  "mcpServers": {
    "kubera": {
      "command": "npx",
      "args": [
        "-y",
        "kubera-3p-mcp",
        "--session",
        "C:/Users/YOU/cognito-session.json"
      ]
    }
  }
}

Local equivalent: "command": "bun", "args": ["run", "/path/to/kubera-3p-mcp/src/cli.ts", "--session", "/path/to/cognito-session.json"].

Typed client

import { KuberaClient } from "./src/client/index.ts";
import { resolveAuth } from "./src/auth/resolveAuth.ts";
import { writeTokenCache } from "./src/auth/tokenCache.ts";

const { accessToken, session } = await resolveAuth(
  "/path/to/cognito-session.json",
);

const client = new KuberaClient({
  accessToken,
  session,
  onAccessToken: (token) => writeTokenCache(token),
});

const user = await client.getUser();
const portfolios = await client.getPortfolios();
const portfolioId = portfolios.data.portfolio[0]!.id;
const chart = await client.getChartAndCagr({ portfolioId });

Capture fixtures

bun run capture -- --session ./cognito-session.json

Security note

Local capture files (kubera-fetch.js, kubera-har.json, kubera-urls.txt), cognito-session.json, and fixtures/ can contain live secrets and portfolio data. They are gitignored. Rotate credentials if those files were shared.

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选