Stockup Mcp — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Stockup Mcp (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
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Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Financial AI MCP server for Claude Desktop, Cursor, and Model Context Protocol-compatible AI agents.
StockUp Quan MCP gives AI agents finance-native tools for stock research, real-time quote context, SEC filing review, portfolio risk analysis, dollar-cost averaging backtests, market sentiment, market-move explanations, and adversarial research review. It connects local MCP clients to the StockUp Quan financial AI API using a server-side StockUp API key.
StockUp Quan MCP adds finance-specific tools to your AI coding or research agent. Instead of asking a general chatbot to improvise stock analysis, the agent can call named tools backed by StockUp Quan models, API billing, quote grounding, optional Google Search grounding, optional per-key Finnhub enrichment, and Enterprise attribution.
Primary use cases:
Create a StockUp API key at https://stockup.cc/api?mcp=1&source=mcp-readme, then add this to your MCP client configuration:
{
"mcpServers": {
"stockup-quan": {
"command": "npx",
"args": ["-y", "@stockup/quan-mcp-server"],
"env": {
"STOCKUP_API_KEY": "sk_quan_your_key"
}
}
}
}Restart your MCP client after saving the configuration.
If you prefer to download and run the hosted script:
{
"mcpServers": {
"stockup-quan": {
"command": "node",
"args": ["/absolute/path/to/stockup-mcp.js"],
"env": {
"STOCKUP_API_KEY": "sk_quan_your_key"
}
}
}
}Download the script from https://stockup.cc/stockup-mcp.js.
If you do not have a StockUp API key yet, call the setup_stockup_quan MCP tool or open:
https://stockup.cc/api?mcp=1&source=mcp-setupThe StockUp Developer Console lets you:
Finnhub keys are optional and opt-in per Quan key. If a Quan key does not have a Finnhub key linked, StockUp Quan will not use Finnhub for that key.
setup_stockup_quan: Returns the StockUp setup URL and MCP configuration snippets.financial_reasoning_query: General-purpose financial research, valuation, macro, portfolio, and market reasoning.get_quan_research_debate_packet: Produces a structured Quan claim, evidence, assumptions, counter-case, falsifiers, uncertainty, and questions for Claude or another host agent to challenge before it reaches a conclusion.get_stock_quote: Quote-grounded market context for a ticker.compare_stocks: Compare two or more stocks by valuation, growth, profitability, catalysts, risk, and setup.analyze_sec_filing: Review SEC filings for accounting signals, liabilities, guidance changes, and earnings-quality red flags.analyze_stock_sentiment: Analyze news catalysts, sentiment, investor narrative, and risks to the narrative.run_dca_backtest: Analyze dollar-cost averaging assumptions, compounding path, and scenario risk.review_portfolio_risk: Review concentration, factor exposure, overlap, drawdown risk, catalysts, and prioritized actions.explain_market_move: Explain likely drivers behind a stock, sector, ETF, or index move while separating confirmed facts from possible drivers.get_quan_research_debate_packet is designed for a two-agent research workflow. Quan is the finance research specialist; Claude, Cursor, or another connected host agent is the independent reviewer. The MCP does not claim the agents agree or run an invisible autonomous conversation. Instead, Quan returns a transparent packet the host agent can inspect and challenge.
The packet includes a conditional claim, verified evidence, assumptions, the strongest counter-case, falsifiers, uncertainty, and 3-6 questions for the host agent. This makes it useful for investment-committee style research, due diligence, SEC filing review, earnings analysis, portfolio-risk reviews, and any workflow where a polished answer should be challenged before it is trusted.
Example request to a connected host agent:
Use get_quan_research_debate_packet to investigate whether NVDA's current setup supports a 12-month bullish thesis. Then independently challenge each assumption, look for contrary evidence, and give me a balanced research conclusion with clear unresolved risks.The host agent should treat Quan's output as research input, not as a final decision or personalized investment advice.
The current public and Enterprise aliases exposed for new MCP use are:
| Model | Description | Best For |
|---|---|---|
quan-3.0 | Fast, lower-cost Quan model for lightweight financial Q&A and quick summaries. | Quick stock briefs, routing, simple market questions, testing, high-volume utility calls. |
quan-3.4-l | Lightweight Quan 3.4 runtime with lower cost and faster responses than the flagship model. | Faster grounded market analysis, product workflows, previews, and cost-sensitive agent calls. |
quan-3.4 | Flagship StockUp Quan model for finance-native reasoning and grounded analysis. | Stock research, comparisons, valuation framing, catalysts, sentiment, market context, and most default MCP workflows. |
quan-3.4-deep-research | Premium deep research model for longer, more demanding finance workflows. | SEC filing review, due diligence, portfolio reviews, multi-step research, and analyst-style memos. |
quan-3-0-enterprise | Enterprise utility model with team attribution and organization governance. | High-volume internal tools, alerts, summaries, screening, and routing inside Enterprise deployments. |
quan-3-4-enterprise | Enterprise flagship model for governed finance intelligence. | Company-grade market intelligence, portfolio coverage, internal finance copilots, product integrations, and team workflows. |
quan-3-4-deep-research-enterprise | Enterprise deep research model for governed long-form analysis. | Banking research workflows, SEC filing audits, due diligence, risk review, and institutional research automation. |
quan-3.3 standard and quan-3.3 deep research aliases are discontinued and are not recommended for new integrations.
Enterprise model aliases require an Enterprise API key and user attribution:
{
"env": {
"STOCKUP_API_KEY": "sk_quan_enterprise_key",
"STOCKUP_ENTERPRISE_USER_ID": "enterprise_member_uid"
}
}You can also pass enterpriseUserId as a tool argument.
Keep STOCKUP_API_KEY in your MCP client environment. Do not paste StockUp API keys, Finnhub keys, passwords, or private portfolio data into prompts, public repos, browser-side JavaScript, or issue trackers.
StockUp responses are for research and education only. They are not personalized financial advice, investment recommendations, tax advice, legal advice, or a replacement for professional review.
StockUp Quan MCP Server is a financial AI MCP server, stock market MCP server, Claude Desktop finance MCP, Cursor finance MCP, SEC filing AI tool, portfolio risk MCP tool, AI research debate tool, adversarial investment research workflow, financial research agent server, AI stock analysis MCP integration, and Model Context Protocol server for grounded stock market research.
Canonical setup page: https://stockup.cc/mcp
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.