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Mcp Cn Stock: Real-Time A-Share Data & Trusted Insights - MCP Implementation

Mcp Cn Stock: Real-Time A-Share Data & Trusted Insights

Mcp Cn Stock: MCP-powered real-time A-share data for large models, driving smarter financial decisions with trusted insights.

Research And Data
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Ranked in the top 9% of all AI tools in its category

About Mcp Cn Stock

What is Mcp Cn Stock: Real-Time A-Share Data & Trusted Insights?

Mcp Cn Stock is a specialized Model Content Protocol (MCP) service engineered to deliver granular, real-time A-share market data directly to advanced analytics systems. This infrastructure enables seamless integration of structured financial metrics, empowering algorithmic models with precise market signals and auditable data pipelines.

How to use Mcp Cn Stock: Real-Time A-Share Data & Trusted Insights?

Access the service via our production-ready endpoint. For implementation guidance, review the test harness repository which contains validated use-case workflows demonstrating API interaction patterns and error-handling protocols. Start with the sandbox environment to validate data streams before full deployment.

Mcp Cn Stock Features

Key Features of Mcp Cn Stock: Real-Time A-Share Data & Trusted Insights?

  • Brief Tier: Core equity metadata with live price streams and liquidity indicators
  • Medium Tier: Deep-dive into balance sheet metrics, earnings surprises, and sector-specific ratios
  • Full Tier: Multi-dimensional analysis combining technical indicators, sentiment scores, and macroeconomic overlays

Use cases of Mcp Cn Stock: Real-Time A-Share Data & Trusted Insights?

Institutional investors leverage this platform for:

• Algorithmic trading systems requiring sub-second data freshness

• Risk models analyzing credit exposures across listed entities

• Regulatory reporting frameworks demanding audit-trail compliance

Mcp Cn Stock FAQ

FAQ from Mcp Cn Stock: Real-Time A-Share Data & Trusted Insights?

Data latency guarantees? 200ms max from SHSE/SSE feeds with triple-redundant ingestion pipelines.

API rate limits? Tiered quotas: 5k requests/hour for sandbox, 50k/hour for production accounts.

Error correction? Built-in anomaly detection triggers automatic data scrubbing and real-time alerts.

Language support? API responses in JSON-LD format with multilingual metadata mappings.

Content

简介

这是一个为大模型提供 A 股数据的的 MCP(Model Content Protocol) 服务。

MCP Tools

目前提供一下的若干工具:

  • brief: 给定股票的基本信息,行情数据
  • medium: 提供所有基本数据和一些财务数据
  • full: 提供所有中等数据和技术指标

使用方法

由于股票的数据比较庞大,所以我们提供了一个公开的服务地址, 查看 tests/test.sh 文件,里面有一些测试用例以及相关的使用方法。

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