Stocklake — AI Stock Intelligence
Let your coding agent pull live stock prices, fundamentals, and macro context while you scope a fintech feature or investment research workflow.
Overview
Stocklake is an MCP server for the Idea phase that gives coding agents unified stock prices, fundamentals, technicals, news, and macro or sector signals.
What is this MCP server?
- Streamable HTTP MCP remote at api.stocklake.dev for agent-native queries
- Prices, fundamentals, and technical indicators in one intelligence surface
- News, macro regime, and sector signals for context-rich answers
- Suited to research prompts and due-diligence checklists in Claude Code or Cursor
- Version 1.0.0 Stocklake server with no local install required for the hosted remote
- Server version 1.0.0
- Single streamable-http remote endpoint
- Five intelligence areas: prices, fundamentals, technicals, news, macro and sector
What problem does it solve?
Builders waste hours juggling finance sites and APIs when they only need fast, citable market facts inside an AI coding session.
Who is it for?
Indie builders prototyping finance dashboards, research bots, or content tools who want one MCP endpoint for market data.
Skip if: Teams that need licensed exchange feeds, execution, or compliance-grade audit trails without verifying Stocklake’s terms and data lineage.
What do I get? / Deliverables
After you register the remote, your agent can answer research prompts with structured stock intelligence instead of hallucinated tickers.
- Agent-callable stock intelligence across prices, fundamentals, and news
- Macro and sector context for research and spec drafting
- Fewer one-off finance API integrations during early build
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Journey fit
Market and ticker research usually happens before you commit to a finance product, pricing model, or data-backed content strategy. Research subphase is where solo builders validate demand and gather external signals; stock intelligence feeds that discovery loop without leaving the agent.
How it compares
Hosted finance data MCP, not a portfolio management agent skill.
Common Questions / FAQ
Who is Stocklake for?
Solo and indie developers building fintech experiments, market research assistants, or data-backed landing pages who already use MCP-capable agents.
When should I use Stocklake?
Use it during idea and validation research when you need prices, fundamentals, news, or sector context while scoping features or writing specs.
How do I add Stocklake to my agent?
Add the streamable-http remote https://api.stocklake.dev/mcp to your client’s MCP server list per your editor’s MCP documentation, then invoke tools from a connected session.