20 years of financial investment data accumulation, officially opening MCP capabilities.

01 How to Efficiently Implement Large Models in Finance?

In the rapidly changing financial market, data is the core driving force for gaining insights, uncovering value, and making precise decisions. However, obtaining professional financial data services comes with various challenges, including:

Firstly, the fluctuations in price trends, changes in policies and regulations, a massive amount of research reports, announcements from listed companies, and a plethora of market information together constitute a vast and complex ocean of information.

Secondly, the financial securities industry has high demands for data accuracy, timeliness, coverage, compliance, and stability, which exceed the requirements of general industries. Relying solely on the internet or the limited knowledge of models can easily lead to a “data illusion.” With the rapid application of large language model technology in the financial securities industry, the timely, accurate, and efficient acquisition, integration, and utilization of financial data has become a crucial yet challenging bottleneck.

Thirdly, financial data is not only vast but often highly fragmented. During the application of large models, it requires interfacing with different suppliers and various standards, which incurs high costs and low efficiency.

Fourthly, there is a large amount of dynamic growth in research reports, announcements, and other unstructured information in the market, lacking accurate and effective information preprocessing. Without rapid identification and extraction of key information, the final output naturally suffers significant losses.

Fifthly, traditional data access often involves complex interface development, data cleansing, and storage processes, consuming valuable development resources and creating higher application thresholds.

These factors severely restrict the speed and effectiveness of large model applications in the financial securities industry.

Today Investment, as a professional data service provider in the financial securities industry, began exploring the scenario-based applications of financial data early in the development of large models, investing significant time in designing, developing, and optimizing the connection between data and large models to address the issues mentioned above. However, for individuals or institutions lacking professional data, this process is undoubtedly difficult to replicate. How to assist these large model clients in solving financial data issues and enable the extensive demand for large model financial applications in the market to develop and take root has become a new direction of focus for Today Investment.

The Higress MCP market provides a comprehensive solution, allowing users to quickly convert Today Investment's rich financial data API into MCP tools. Users can easily call professional financial data and freely and rapidly build their own financial large model applications.

As a result, Today Investment launched the Today Investment Financial Data MCP service, providing a one-stop financial data MCP. By comprehensively organizing the underlying data resources, we launched the Today Investment MCP market in the financial vertical field, integrating rich financial data APIs, including financial basic data, market data, trading data, news information, and research reports, for access covering indices, sectors, individual stocks, funds, and more, to assist both professional and general investors in quickly building large model applications.

Through exceptionally simple configurations, you can easily access the rich API tools in the Today Investment MCP market within your large model applications, obtaining accurate, timely, comprehensive, compliant, and stable financial data.

Currently, the Today Investment MCP market has launched for trial operation; everyone is welcome to connect and try it out!

02 Why Choose Today Investment MCP Market?

Today Investment has over 20 years of experience in processing and applying financial data, continuously delving into the field of financial data, providing quality, stable, and reliable data services and application products for brokerages and asset management institutions. With the explosive growth of large model applications, Today Investment has taken the lead in exploring application scenarios in the large model + financial securities field, building rich services and products across various directions such as “AI Data Mining, Financial Intelligent Agent Construction, Large Model + Traditional Applications.”

The Today Investment MCP market launched this time aims to breakthrough financial data barriers, assisting institutions or investors in the market to rapidly build usable, reliable, and user-friendly financial intelligent agents through the low threshold model of “MCP + Large Model,” without worrying about data challenges, providing strong data support for the “last mile” of large model + financial securities applications.

The Higress MCP market has launched the sector trend MCP within the Today Investment data market, supporting financial intelligent agent applications built by clients such as Cursor, Dify, Cline, Cherry Studio, and inviting everyone to try it out!

https://mcp.higress.ai

03 How to One-Click Convert API to MCP Service?

Why Choose Higress

1. Seamless Adaptation to Multiple Version Protocols

Higress supports multiple iterative versions of MCP (like 20241105 and 20250326) and can process requests for both new and old protocols at a single access point. By employing protocol offloading technology, it converts the MCP protocol to standard protocols such as REST/Dubbo, shielding compatibility issues caused by frequent protocol upgrades.

2. Optimized Transport Layer and Real-Time Assurance

Supports communication modes such as SSE (Server-Sent Events), Streamable HTTP, and WebSocket. Higress natively optimizes long connection management (such as WebSocket configuration hot updates and connection retention) to meet the low-latency and two-way communication requirements of AI tools.

3. Centralized Security Control

Unified authentication and authorization, integrated with OAuth2 plugins for user identity verification and fine-grained permission control. Complete logging of tool invocation, with support for security audits and compliance certifications (such as financial).

4. Refined Traffic Governance

Employs rate-limiting plugins to set invocation quotas for different users/tools, preventing resource abuse. For instance, limiting the invocation frequency for non-core business MCP calls to ensure the stability of critical services.

How to Achieve One-Click Conversion of Existing API Services?

1. One-Click Export OpenAPI JSON

Integrate Swagger/springdoc/OpenAPI Generator plugins into existing backends (Spring Boot, FastAPI, etc.), fetching the complete interface specifications at once through /v3/api-docs (or /swagger.json), saving it as openapi.json, while storing the JSON file in Git for easy access later. The advantage is zero modification, keeping the code intact; when the interface changes, it triggers re-export.

2. One-Click Conversion with openapi-to-mcp

After installing the official openapi-to-mcp converter, it automatically converts and outputs YAML that complies with MCP version specifications, avoiding manual errors, with built-in schema validation and example completion to reduce deployment failures.

3. Hot Submission via Higress Console

Configure MCP settings and services timely through the Higress console API (https://higress.cn/swagger/) without manual configuration, maintaining all parameters consistent with the existing API.

4. Full-Process Automation

By writing a Python script connecting the entire update business process, achieve one-click interface description changes -> automatic export -> conversion -> updating MCP.

04 How to Build Your Financial MCP Intelligent Agent More Easily?

Get the URL of MCP

1. Visit https://mcp.higress.ai/server/server10002 to enter the Today Investment sector trend MCP market homepage, and apply for APICode according to the tutorial.

2. Generate URL based on the applied APICode

Configure Higress MCP in CherryStudio

1. Install CherryStudio

Visit https://www.cherry-ai.com/download to download and install CherryStudio according to your system version.

2. Configure Model Service

Recommended Platform for Model Services:

Aliyun Bailian: Suitable for “out-of-the-box” beginners

User-friendly interface; complete API configuration in 5 minutes (copy Key → fill URL → select model); detailed documentation; complete support from the Chinese community; ample free quota, suitable for testing basic functions.

3. Open settings and configure the MCP server

4. Use MCP services in the model dialogue

05 Enjoy Your Exclusive Financial Assistant

Case 1: Stock Sector Trends of Interest

Case 2: Recent Research Report Interpretation of Concerned Stocks

06 Recent Outlook

The Today Investment MCP market is currently continuously updating, with plans to launch more stock and fund-related data APIs, while also gradually introducing Today Investment alternative data APIs, expanding richer application scenarios, so stay tuned.