akshare-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": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| get_stock_quoteA | Get the real-time quote for a single A-share stock. Args:
symbol: A 6-digit A-share code, e.g. Returns:
A dict with the latest price, change percentage, volume, turnover and
market-cap figures. On failure, a dict with an Example: >>> get_stock_quote("600519") # doctest: +SKIP {'symbol': '600519', 'name': '贵州茅台', 'price': 1683.0, 'change_pct': 0.85, 'volume': 31250, 'total_market_cap': 2.1e12, ...} |
| get_financial_statementsA | Get key financial-statement line items for an A-share company. Args:
symbol: A 6-digit A-share code, e.g. Returns:
A dict with the latest Example: >>> get_financial_statements("600519", "annual") # doctest: +SKIP {'symbol': '600519', 'period': 'annual', 'report_date': '2023-12-31', 'income_statement': {'total_revenue': 1.5e11, 'net_profit': 7.4e10, ...}, 'balance_sheet': {...}, 'cash_flow': {...}} |
| get_industry_newsA | Get recent news headlines for an industry or theme. Args:
industry: An industry/theme keyword in Chinese, e.g. Returns:
A dict with the query echoed back and an Example: >>> get_industry_news("光伏", days=7) # doctest: +SKIP {'industry': '光伏', 'days': 7, 'count': 12, 'articles': [{'title': '...', 'source': '...', 'published_at': '2024-01-15 10:30:00', 'url': '...'}, ...]} |
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 3 tools
Each tool targets a clearly distinct data type: financial statements, industry news, and real-time quotes. There is no overlap in purpose or output structure.
All three tools follow a consistent get_verb_noun naming pattern with lowercase and underscores. No mixed conventions.
Three tools is a small set but covers essential financial data queries. Could be slightly expanded, but the count is reasonable for a focused utility.
The set covers core data retrieval (quotes, statements, news) but lacks symbol search, historical data, or sector classification, leaving notable gaps for basic workflows.