China Stock MCP
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 30 tools
Each tool targets a distinct data aspect (e.g., historical prices, news, financial statements, shareholder info, etc.), with no obvious overlaps that could cause misselection. Even similar-sounding tools like shareholder info and circulating shareholder data are clearly differentiated by their descriptions.
All 31 tools follow the same 'get_' + noun pattern in snake_case, with clear, descriptive resource names (e.g., get_balance_sheet, get_realtime_data). This makes the API highly predictable and easy to navigate.
At 31 tools, the set is on the heavier side, but each tool addresses a specific data need for comprehensive stock analysis. While the count exceeds the 25-tool threshold for 'too many', the breadth of the domain (market data, fundamentals, sentiment, indices, etc.) justifies the size, making it borderline acceptable rather than excessive.
The tool surface appears remarkably complete for A-share stock analysis, covering real-time and historical data, financial statements, key metrics, news, shareholder structures, technical indicators, macro data, indices, industry boards, sentiment, forecasts, dividends, and more. No significant gaps for common analytical workflows.