Real-Time Stock Market Data for Cursor如何为 Cursor 接入实时股票市场数据

Cursor can write and inspect code, but its model knowledge is not a live exchange feed. To use real-time stock market data for Cursor, consume a licensed provider stream in an application-side service, normalize and cache the latest state, then expose only the queries the coding agent needs through Model Context Protocol (MCP).

Cursor’s official MCP documentation supports custom servers configured in .cursor/mcp.json for a project or ~/.cursor/mcp.json globally. Cursor Agent can use the same configuration. That makes MCP the practical connection layer—but the market-data gateway, entitlements, validation, and audit trail remain your responsibility.

Cursor 可以编写和检查代码，但模型知识并不是交易所实时数据源。要为 Cursor 接入实时股票市场数据，应先由应用侧服务消费合规行情流，完成标准化并缓存最新状态，再通过模型上下文协议（MCP）只暴露编程智能体真正需要的查询。

Cursor 官方 MCP 文档支持在项目的 .cursor/mcp.json 中配置自定义服务器，也可在 ~/.cursor/mcp.json 中配置全局服务器；Cursor Agent CLI 会读取同一配置。因此 MCP 适合作为连接层，但行情网关、数据权限、校验与审计仍由你的应用负责。

1. Specify the workload before the provider

Write down exchange coverage, quote versus trade data, acceptable delay, update rate, sessions, historical depth, display rights, and symbol count. An internal prototype and a customer-facing redistributed product require different entitlements.

2. Build a server-side market-data gateway

Store the provider credential outside source control and Cursor prompts. The gateway owns the WebSocket, reconnect policy, validation, bounded cache, and provider-specific schema. Use a read-only market-data credential, separate from brokerage access.

3. Publish narrow MCP operations

Start with get_quote(symbol), get_bars(symbol,timeframe,limit), and get_market_status(exchange). Limit symbol arrays, date ranges, response size, and execution time. Avoid a generic HTTP proxy, which expands the agent’s authority and weakens auditability.

4. Register the server in Cursor

For a project-scoped local server, add a reviewed configuration to .cursor/mcp.json. Cursor’s docs also support global configuration and remote servers. Do not commit literal secrets; inject them from a local secret mechanism appropriate to your environment.

1. 先定义工作负载，再选择服务商

明确交易所覆盖、报价或成交数据、可接受延迟、更新频率、交易时段、历史深度、展示权限与股票数量。内部原型与面向客户再分发的产品需要不同的数据权限。

2. 构建服务端行情网关

服务商凭据不得进入版本库或 Cursor 提示词。网关负责 WebSocket、重连策略、校验、有界缓存和服务商字段转换。只使用行情读取凭据，并与券商访问权限隔离。

3. 发布边界明确的 MCP 操作

可从 get_quote(symbol)、get_bars(symbol,timeframe,limit) 与 get_market_status(exchange) 开始，并限制股票数组、日期范围、响应大小和执行时间。不要提供通用 HTTP 代理，否则会扩大智能体权限，也会削弱审计能力。

4. 在 Cursor 中注册服务器

项目级本地服务器可通过经过审查的 .cursor/mcp.json 注册。Cursor 文档也支持全局配置和远程服务器。不要提交明文密钥，应通过适合当前环境的本地密钥机制注入。

{
  "mcpServers": {
    "market-data": {
      "command": "node",
      "args": ["./tools/market-data-mcp/server.js"]
    }
  }
}

5. Inspect tools before trusting prompts

Confirm the server exposes only expected operations. Cursor Agent CLI documents cursor-agent mcp list and cursor-agent mcp list-tools market-data for checking configured servers and tool arguments. Review every returned field and error path.

6. Write a provenance rule for the agent

Require Cursor to display symbol, measurement type, source, event time, session, and freshness beside a price; to say “unavailable” when checks fail; and to separate observed data from interpretation. Fresh market evidence does not make generated analysis investment advice.

5. 在信任提示词之前检查工具

确认服务器只暴露预期操作。Cursor Agent CLI 文档提供 cursor-agent mcp list 和 cursor-agent mcp list-tools market-data，用于检查已配置服务器及工具参数。应审查每个返回字段和错误路径。

6. 为智能体编写来源规则

要求 Cursor 在价格旁展示股票代码、数据类型、来源、事件时间、交易时段与新鲜度；校验失败时明确返回“不可用”；并区分客观数据与解释。新鲜行情证据不等于投资建议。