Stockhub MCP Server
stockhub-mcp
PyPI
v0.4.1
Published by timwu0101 — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
StockHub MCP — 43-tool financial market data server for A-shares, HK stocks, US equities, funds, ETFs, futures, indices. Multi-source fallback: yfinance, efinance, Tencent, Sina, EastMoney, AkShare.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 2
medium Dynamic module load from a non-literal (src/stockhub_mcp/services/base.py)MTC-SRC-005
In the server's implementation (`src/stockhub_mcp/services/base.py:134`): Loading a module chosen at runtime (from a variable) can pull in and run attacker-influenced code paths. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: try: __import__(package) return True except ImportError: return False
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server src/stockhub_mcp/services/base.py
medium Dynamic module load from a non-literal (src/stockhub_mcp/services/efinance_source.py)MTC-SRC-005
In the server's implementation (`src/stockhub_mcp/services/efinance_source.py:189`): Loading a module chosen at runtime (from a variable) can pull in and run attacker-influenced code paths. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: try: __import__(module) return True except ImportError: logger.debug(
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server src/stockhub_mcp/services/efinance_source.py
Tools 43
Each tool and what it can reach — statically extracted from the published source.
get_analyst_forecastsingests untrusted inputget_dividends_splitsingests untrusted inputget_dragon_tiger_listingests untrusted inputget_etf_infoingests untrusted inputget_etf_quoteingests untrusted inputget_financial_statementsingests untrusted inputget_fund_nav_historyingests untrusted inputget_fund_quoteingests untrusted inputget_futures_basis_historyingests untrusted inputget_futures_contract_infoingests untrusted input
Show 33 more tools ↓
get_futures_position_rankingests untrusted inputget_holdersingests untrusted inputget_index_historyingests untrusted inputget_index_quoteingests untrusted inputget_northbound_flowingests untrusted inputget_options_chainingests untrusted inputget_quality_metricsingests untrusted inputget_sector_constituentsingests untrusted inputget_southbound_flowingests untrusted inputget_valuation_metricsingests untrusted inputanalyze_portfolio_exposureno sensitive capabilityclear_quote_cacheno sensitive capabilitycompare_indicesno sensitive capabilitycompare_stocksno sensitive capabilityget_batch_quotesno sensitive capabilityget_capital_flowno sensitive capabilityget_correlation_matrixno sensitive capabilityget_etf_historyno sensitive capabilityget_fund_rankingsno sensitive capabilityget_price_historyno sensitive capabilityget_price_limitsno sensitive capabilityget_quick_analysisno sensitive capabilityget_realtime_quoteno sensitive capabilityget_risk_metricsno sensitive capabilityget_sector_boardsno sensitive capabilityget_source_statusno sensitive capabilityget_symbol_statusno sensitive capabilityget_technical_indicatorsno sensitive capabilityget_trading_calendarno sensitive capabilityget_valuation_percentileno sensitive capabilitysearch_fundno sensitive capabilitysearch_futures_contractno sensitive capabilitysearch_symbolno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (43 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 1
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.4.1 latest |
A 96/100 | 2 | 1.13.0 | 2026-08-25 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan stockhub-mcp --online --registry pypiMore in Finance & Commerce
<img src="./public/logo.png" alt="1Money Logo" width="200"/>
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